ESmike/city_temperature_anomalies
收藏Hugging Face2025-11-25 更新2025-12-20 收录
下载链接:
https://hf-mirror.com/datasets/ESmike/city_temperature_anomalies
下载链接
链接失效反馈官方服务:
资源简介:
---
dataset_info:
- config_name: Afghanistan
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 4329423
num_examples: 17828
download_size: 752654
dataset_size: 4329423
- config_name: Albania
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 2747641
num_examples: 10002
download_size: 316241
dataset_size: 2747641
- config_name: Algeria
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 3563632
num_examples: 16670
download_size: 847869
dataset_size: 3563632
- config_name: Angola
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 2322615
num_examples: 10644
download_size: 481949
dataset_size: 2322615
- config_name: Argentina
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 14921915
num_examples: 65288
download_size: 2855512
dataset_size: 14921915
- config_name: Armenia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 2285047
num_examples: 8676
download_size: 256626
dataset_size: 2285047
- config_name: Australia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 8923321
num_examples: 37435
download_size: 1203638
dataset_size: 8923321
- config_name: Austria
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 4340454
num_examples: 16670
download_size: 868178
dataset_size: 4340454
- config_name: Azerbaijan
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 698840
num_examples: 2547
download_size: 139252
dataset_size: 698840
- config_name: Bahamas
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 635145
num_examples: 3154
download_size: 156244
dataset_size: 635145
- config_name: Bahrain
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 534801
num_examples: 2136
download_size: 113070
dataset_size: 534801
- config_name: Bangladesh
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 13034925
num_examples: 48600
download_size: 1090601
dataset_size: 13034925
- config_name: Belarus
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 6281256
num_examples: 26672
download_size: 1279633
dataset_size: 6281256
- config_name: Belgium
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 6119982
num_examples: 23338
download_size: 594452
dataset_size: 6119982
- config_name: Benin
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 3154308
num_examples: 12384
download_size: 380399
dataset_size: 3154308
- config_name: Bolivia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 2604280
num_examples: 11928
download_size: 573699
dataset_size: 2604280
- config_name: Bosnia and Herzegovina
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 4713862
num_examples: 16670
download_size: 537624
dataset_size: 4713862
- config_name: Botswana
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 526194
num_examples: 1968
download_size: 98773
dataset_size: 526194
- config_name: Brazil
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 127433030
num_examples: 483536
download_size: 11679953
dataset_size: 127433030
- config_name: Bulgaria
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 6049968
num_examples: 23338
download_size: 999426
dataset_size: 6049968
- config_name: Burkina Faso
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1043868
num_examples: 4128
download_size: 190018
dataset_size: 1043868
- config_name: Burma
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 12505259
num_examples: 52306
download_size: 1856050
dataset_size: 12505259
- config_name: Burundi
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 448846
num_examples: 1685
download_size: 84704
dataset_size: 448846
- config_name: Cambodia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 619458
num_examples: 2352
download_size: 115651
dataset_size: 619458
- config_name: Cameroon
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 6326533
num_examples: 24836
download_size: 949945
dataset_size: 6326533
- config_name: Canada
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 17008197
num_examples: 68750
download_size: 2749537
dataset_size: 17008197
- config_name: Central African Republic
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 465456
num_examples: 1774
download_size: 90977
dataset_size: 465456
- config_name: Chad
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 765930
num_examples: 3548
download_size: 182143
dataset_size: 765930
- config_name: Chile
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 11627875
num_examples: 47656
download_size: 1901285
dataset_size: 11627875
- config_name: China
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 219302463
num_examples: 880286
download_size: 23896134
dataset_size: 219302463
- config_name: Colombia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 23634821
num_examples: 89118
download_size: 2352137
dataset_size: 23634821
- config_name: Congo
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 435298
num_examples: 1774
download_size: 91784
dataset_size: 435298
- config_name: Congo (Democratic Republic of the)
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 9641754
num_examples: 38131
download_size: 1678377
dataset_size: 9641754
- config_name: Costa Rica
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 633302
num_examples: 2351
download_size: 112312
dataset_size: 633302
- config_name: Croatia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 2674293
num_examples: 10002
download_size: 422508
dataset_size: 2674293
- config_name: Cuba
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 8826890
num_examples: 33246
download_size: 1123606
dataset_size: 8826890
- config_name: Cyprus
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 745159
num_examples: 2756
download_size: 143357
dataset_size: 745159
- config_name: Czech Republic
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 4487150
num_examples: 16670
download_size: 665938
dataset_size: 4487150
- config_name: Côte d'Ivoire
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 7386798
num_examples: 26832
download_size: 855430
dataset_size: 7386798
- config_name: Denmark
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 3562379
num_examples: 13336
download_size: 492503
dataset_size: 3562379
- config_name: Djibouti
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 341006
num_examples: 1685
download_size: 86997
dataset_size: 341006
- config_name: Dominican Republic
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 6296301
num_examples: 22392
download_size: 602179
dataset_size: 6296301
- config_name: Ecuador
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 6183735
num_examples: 23831
download_size: 791452
dataset_size: 6183735
- config_name: Egypt
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 12159606
num_examples: 48189
download_size: 1343079
dataset_size: 12159606
- config_name: El Salvador
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 3642295
num_examples: 14106
download_size: 385222
dataset_size: 3642295
- config_name: Equatorial Guinea
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 493840
num_examples: 1774
download_size: 91479
dataset_size: 493840
- config_name: Eritrea
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 382196
num_examples: 1711
download_size: 87262
dataset_size: 382196
- config_name: Estonia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1699512
num_examples: 6668
download_size: 357795
dataset_size: 1699512
- config_name: Ethiopia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 3356520
num_examples: 13480
download_size: 602072
dataset_size: 3356520
- config_name: Finland
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 4397132
num_examples: 16670
download_size: 786359
dataset_size: 4397132
- config_name: France
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 30563203
num_examples: 116690
download_size: 4335419
dataset_size: 30563203
- config_name: Gabon
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 739320
num_examples: 3548
download_size: 176737
dataset_size: 739320
- config_name: Gambia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1091340
num_examples: 4128
download_size: 142835
dataset_size: 1091340
- config_name: Georgia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 761686
num_examples: 2892
download_size: 141949
dataset_size: 761686
- config_name: Germany
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 68081119
num_examples: 260052
download_size: 4959231
dataset_size: 68081119
- config_name: Ghana
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 4750038
num_examples: 18576
download_size: 528199
dataset_size: 4750038
- config_name: Greece
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 6386702
num_examples: 23338
download_size: 985321
dataset_size: 6386702
- config_name: Guatemala
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 5674789
num_examples: 21492
download_size: 301945
dataset_size: 5674789
- config_name: Guinea
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1521426
num_examples: 6192
download_size: 279275
dataset_size: 1521426
- config_name: Guyana
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 492604
num_examples: 2364
download_size: 112866
dataset_size: 492604
- config_name: Haiti
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 3249504
num_examples: 12192
download_size: 375422
dataset_size: 3249504
- config_name: Honduras
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 3168505
num_examples: 11913
download_size: 364467
dataset_size: 3168505
- config_name: Hong Kong
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 658611
num_examples: 2418
download_size: 123189
dataset_size: 658611
- config_name: Hungary
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 7258118
num_examples: 26672
download_size: 1067861
dataset_size: 7258118
- config_name: Iceland
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 810477
num_examples: 3250
download_size: 174612
dataset_size: 810477
- config_name: India
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 264035356
num_examples: 1002970
download_size: 22224293
dataset_size: 264035356
- config_name: Indonesia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 87720019
num_examples: 338244
download_size: 5433475
dataset_size: 87720019
- config_name: Iran
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 35737709
num_examples: 146090
download_size: 5125432
dataset_size: 35737709
- config_name: Iraq
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 2164510
num_examples: 10065
download_size: 362180
dataset_size: 2164510
- config_name: Ireland
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 888097
num_examples: 3334
download_size: 176139
dataset_size: 888097
- config_name: Israel
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 6815138
num_examples: 25470
download_size: 696223
dataset_size: 6815138
- config_name: Italy
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 35678387
num_examples: 136694
download_size: 4063058
dataset_size: 35678387
- config_name: Jamaica
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1901719
num_examples: 7989
download_size: 290490
dataset_size: 1901719
- config_name: Japan
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 106944219
num_examples: 408642
download_size: 5424872
dataset_size: 106944219
- config_name: Jordan
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 669866
num_examples: 2547
download_size: 136591
dataset_size: 669866
- config_name: Kazakhstan
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 8048672
num_examples: 35580
download_size: 1732342
dataset_size: 8048672
- config_name: Kenya
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 2625582
num_examples: 10069
download_size: 429165
dataset_size: 2625582
- config_name: Laos
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 654758
num_examples: 2458
download_size: 123200
dataset_size: 654758
- config_name: Latvia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1749522
num_examples: 6668
download_size: 357582
dataset_size: 1749522
- config_name: Lebanon
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 2004247
num_examples: 8059
download_size: 321911
dataset_size: 2004247
- config_name: Lesotho
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 520290
num_examples: 1968
download_size: 99826
dataset_size: 520290
- config_name: Liberia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 454854
num_examples: 2064
download_size: 99874
dataset_size: 454854
- config_name: Libya
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 7262085
num_examples: 31839
download_size: 1299749
dataset_size: 7262085
- config_name: Lithuania
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 4427138
num_examples: 16670
download_size: 672563
dataset_size: 4427138
- config_name: Macedonia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1802866
num_examples: 6668
download_size: 249263
dataset_size: 1802866
- config_name: Madagascar
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 4131270
num_examples: 16848
download_size: 562740
dataset_size: 4131270
- config_name: Malawi
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 501634
num_examples: 1934
download_size: 87199
dataset_size: 501634
- config_name: Malaysia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 19048848
num_examples: 75264
download_size: 2123171
dataset_size: 19048848
- config_name: Mali
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1294386
num_examples: 6192
download_size: 279939
dataset_size: 1294386
- config_name: Mauritania
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 438342
num_examples: 2064
download_size: 104629
dataset_size: 438342
- config_name: Mauritius
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 742365
num_examples: 2808
download_size: 99271
dataset_size: 742365
- config_name: Mexico
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 63130682
num_examples: 243575
download_size: 7021662
dataset_size: 63130682
- config_name: Moldova
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 2677627
num_examples: 10002
download_size: 422740
dataset_size: 2677627
- config_name: Mongolia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 510766
num_examples: 2405
download_size: 134942
dataset_size: 510766
- config_name: Montenegro
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 921437
num_examples: 3334
download_size: 179644
dataset_size: 921437
- config_name: Morocco
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 5789037
num_examples: 25014
download_size: 1173990
dataset_size: 5789037
- config_name: Mozambique
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 5331310
num_examples: 24286
download_size: 991691
dataset_size: 5331310
- config_name: Namibia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 427794
num_examples: 1968
download_size: 102584
dataset_size: 427794
- config_name: Nepal
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 4991293
num_examples: 18900
download_size: 578289
dataset_size: 4991293
- config_name: Netherlands
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 20746240
num_examples: 76682
download_size: 1224487
dataset_size: 20746240
- config_name: New Zealand
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 4334400
num_examples: 18144
download_size: 714961
dataset_size: 4334400
- config_name: Nicaragua
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 2500824
num_examples: 9424
download_size: 317169
dataset_size: 2500824
- config_name: Niger
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1733054
num_examples: 7676
download_size: 311500
dataset_size: 1733054
- config_name: Nigeria
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 37012908
num_examples: 149306
download_size: 3518158
dataset_size: 37012908
- config_name: Norway
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 3078949
num_examples: 13336
download_size: 704637
dataset_size: 3078949
- config_name: Oman
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 348004
num_examples: 1740
download_size: 89096
dataset_size: 348004
- config_name: Pakistan
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 36276935
num_examples: 136966
download_size: 2813002
dataset_size: 36276935
- config_name: Panama
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1234221
num_examples: 4722
download_size: 153940
dataset_size: 1234221
- config_name: Papua New Guinea
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 354316
num_examples: 1596
download_size: 78801
dataset_size: 354316
- config_name: Paraguay
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 2929978
num_examples: 11340
download_size: 349952
dataset_size: 2929978
- config_name: Peru
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 8523077
num_examples: 35571
download_size: 1474012
dataset_size: 8523077
- config_name: Philippines
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 34576559
num_examples: 132028
download_size: 2678271
dataset_size: 34576559
- config_name: Poland
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 29428390
num_examples: 113356
download_size: 2866823
dataset_size: 29428390
- config_name: Portugal
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 6179994
num_examples: 23338
download_size: 677437
dataset_size: 6179994
- config_name: Puerto Rico
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1903321
num_examples: 7092
download_size: 204061
dataset_size: 1903321
- config_name: Qatar
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 434409
num_examples: 2136
download_size: 110183
dataset_size: 434409
- config_name: Reunion
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 722709
num_examples: 2808
download_size: 97167
dataset_size: 722709
- config_name: Romania
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 20479520
num_examples: 76682
download_size: 2447704
dataset_size: 20479520
- config_name: Russia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 119775409
num_examples: 468764
download_size: 17418893
dataset_size: 119775409
- config_name: Rwanda
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 442106
num_examples: 1685
download_size: 83754
dataset_size: 442106
- config_name: Saudi Arabia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 3029827
num_examples: 14628
download_size: 693713
dataset_size: 3029827
- config_name: Senegal
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 4196112
num_examples: 16512
download_size: 640170
dataset_size: 4196112
- config_name: Serbia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 4403800
num_examples: 16670
download_size: 656258
dataset_size: 4403800
- config_name: Sierra Leone
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1027356
num_examples: 4128
download_size: 191690
dataset_size: 1027356
- config_name: Singapore
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 621810
num_examples: 2352
download_size: 109385
dataset_size: 621810
- config_name: Slovakia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 901433
num_examples: 3334
download_size: 183817
dataset_size: 901433
- config_name: Slovenia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 911435
num_examples: 3334
download_size: 181814
dataset_size: 911435
- config_name: Somalia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
splits:
- name: train
num_bytes: 1497128
num_examples: 6740
download_size: 325075
dataset_size: 1497128
- config_name: South Africa
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 25635168
num_examples: 94464
download_size: 3180463
dataset_size: 25635168
- config_name: South Korea
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 511113
num_examples: 2418
download_size: 134901
dataset_size: 511113
- config_name: Spain
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 43806870
num_examples: 162314
download_size: 5864251
dataset_size: 43806870
- config_name: Sri Lanka
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 6448618
num_examples: 24300
download_size: 850814
dataset_size: 6448618
- config_name: Sudan
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 4000197
num_examples: 17267
download_size: 798403
dataset_size: 4000197
- config_name: Suriname
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 544612
num_examples: 2364
download_size: 125317
dataset_size: 544612
- config_name: Swaziland
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 482898
num_examples: 1968
download_size: 108232
dataset_size: 482898
- config_name: Sweden
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 5641967
num_examples: 20004
download_size: 952211
dataset_size: 5641967
- config_name: Switzerland
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 4530492
num_examples: 16670
download_size: 651560
dataset_size: 4530492
- config_name: Syria
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 4122524
num_examples: 16118
download_size: 799243
dataset_size: 4122524
- config_name: Taiwan
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 20218412
num_examples: 74958
download_size: 1557644
dataset_size: 20218412
- config_name: Tajikistan
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1242297
num_examples: 4536
download_size: 265779
dataset_size: 1242297
- config_name: Tanzania
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 6302846
num_examples: 23117
download_size: 1091358
dataset_size: 6302846
- config_name: Thailand
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 13449763
num_examples: 49154
download_size: 1806069
dataset_size: 13449763
- config_name: Togo
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1142940
num_examples: 4128
download_size: 206284
dataset_size: 1142940
- config_name: Tunisia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 4327118
num_examples: 16670
download_size: 740677
dataset_size: 4327118
- config_name: Turkey
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 39730893
num_examples: 148860
download_size: 6398813
dataset_size: 39730893
- config_name: Turkmenistan
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1825116
num_examples: 7200
download_size: 411096
dataset_size: 1825116
- config_name: Uganda
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1280812
num_examples: 5055
download_size: 227410
dataset_size: 1280812
- config_name: Ukraine
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 21604320
num_examples: 80016
download_size: 4053037
dataset_size: 21604320
- config_name: United Arab Emirates
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1578771
num_examples: 6408
download_size: 222459
dataset_size: 1578771
- config_name: United Kingdom
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 63338918
num_examples: 230046
download_size: 5221417
dataset_size: 63338918
- config_name: United States
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 195388681
num_examples: 707298
download_size: 23835047
dataset_size: 195388681
- config_name: Uruguay
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1124361
num_examples: 4536
download_size: 245763
dataset_size: 1124361
- config_name: Uzbekistan
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 4936447
num_examples: 18372
download_size: 908815
dataset_size: 4936447
- config_name: Venezuela
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 24598903
num_examples: 92196
download_size: 2669519
dataset_size: 24598903
- config_name: Vietnam
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 18001401
num_examples: 69040
download_size: 2432578
dataset_size: 18001401
- config_name: Yemen
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 714027
num_examples: 3370
download_size: 189413
dataset_size: 714027
- config_name: Zambia
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 3817122
num_examples: 14816
download_size: 571373
dataset_size: 3817122
- config_name: Zimbabwe
features:
- name: year
dtype: int64
- name: month
dtype: int64
- name: monthly_anomaly
dtype: float64
- name: monthly_uncertainty
dtype: float64
- name: annual_anomaly
dtype: float64
- name: annual_uncertainty
dtype: float64
- name: five_year_anomaly
dtype: float64
- name: five_year_uncertainty
dtype: float64
- name: ten_year_anomaly
dtype: float64
- name: ten_year_uncertainty
dtype: float64
- name: twenty_year_anomaly
dtype: float64
- name: twenty_year_uncertainty
dtype: float64
- name: monthly_absolute
dtype: float64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: nearby_cities
sequence: string
- name: percent_water
dtype: float64
- name: stations_within_200km
dtype: int64
- name: absolute_temp_1951_1980
dtype: float64
- name: letter
dtype: string
- name: city
dtype: string
- name: country
dtype: string
- name: warming_since_1960_c_per_century
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 2999911
num_examples: 11638
download_size: 436630
dataset_size: 2999911
configs:
- config_name: Afghanistan
data_files:
- split: train
path: Afghanistan/train-*
- config_name: Albania
data_files:
- split: train
path: Albania/train-*
- config_name: Algeria
data_files:
- split: train
path: Algeria/train-*
- config_name: Angola
data_files:
- split: train
path: Angola/train-*
- config_name: Argentina
data_files:
- split: train
path: Argentina/train-*
- config_name: Armenia
data_files:
- split: train
path: Armenia/train-*
- config_name: Australia
data_files:
- split: train
path: Australia/train-*
- config_name: Austria
data_files:
- split: train
path: Austria/train-*
- config_name: Azerbaijan
data_files:
- split: train
path: Azerbaijan/train-*
- config_name: Bahamas
data_files:
- split: train
path: Bahamas/train-*
- config_name: Bahrain
data_files:
- split: train
path: Bahrain/train-*
- config_name: Bangladesh
data_files:
- split: train
path: Bangladesh/train-*
- config_name: Belarus
data_files:
- split: train
path: Belarus/train-*
- config_name: Belgium
data_files:
- split: train
path: Belgium/train-*
- config_name: Benin
data_files:
- split: train
path: Benin/train-*
- config_name: Bolivia
data_files:
- split: train
path: Bolivia/train-*
- config_name: Bosnia and Herzegovina
data_files:
- split: train
path: Bosnia and Herzegovina/train-*
- config_name: Botswana
data_files:
- split: train
path: Botswana/train-*
- config_name: Brazil
data_files:
- split: train
path: Brazil/train-*
- config_name: Bulgaria
data_files:
- split: train
path: Bulgaria/train-*
- config_name: Burkina Faso
data_files:
- split: train
path: Burkina Faso/train-*
- config_name: Burma
data_files:
- split: train
path: Burma/train-*
- config_name: Burundi
data_files:
- split: train
path: Burundi/train-*
- config_name: Cambodia
data_files:
- split: train
path: Cambodia/train-*
- config_name: Cameroon
data_files:
- split: train
path: Cameroon/train-*
- config_name: Canada
data_files:
- split: train
path: Canada/train-*
- config_name: Central African Republic
data_files:
- split: train
path: Central African Republic/train-*
- config_name: Chad
data_files:
- split: train
path: Chad/train-*
- config_name: Chile
data_files:
- split: train
path: Chile/train-*
- config_name: China
data_files:
- split: train
path: China/train-*
- config_name: Colombia
data_files:
- split: train
path: Colombia/train-*
- config_name: Congo
data_files:
- split: train
path: Congo/train-*
- config_name: Congo (Democratic Republic of the)
data_files:
- split: train
path: Congo (Democratic Republic of the)/train-*
- config_name: Costa Rica
data_files:
- split: train
path: Costa Rica/train-*
- config_name: Croatia
data_files:
- split: train
path: Croatia/train-*
- config_name: Cuba
data_files:
- split: train
path: Cuba/train-*
- config_name: Cyprus
data_files:
- split: train
path: Cyprus/train-*
- config_name: Czech Republic
data_files:
- split: train
path: Czech Republic/train-*
- config_name: Côte d'Ivoire
data_files:
- split: train
path: Côte d'Ivoire/train-*
- config_name: Denmark
data_files:
- split: train
path: Denmark/train-*
- config_name: Djibouti
data_files:
- split: train
path: Djibouti/train-*
- config_name: Dominican Republic
data_files:
- split: train
path: Dominican Republic/train-*
- config_name: Ecuador
data_files:
- split: train
path: Ecuador/train-*
- config_name: Egypt
data_files:
- split: train
path: Egypt/train-*
- config_name: El Salvador
data_files:
- split: train
path: El Salvador/train-*
- config_name: Equatorial Guinea
data_files:
- split: train
path: Equatorial Guinea/train-*
- config_name: Eritrea
data_files:
- split: train
path: Eritrea/train-*
- config_name: Estonia
data_files:
- split: train
path: Estonia/train-*
- config_name: Ethiopia
data_files:
- split: train
path: Ethiopia/train-*
- config_name: Finland
data_files:
- split: train
path: Finland/train-*
- config_name: France
data_files:
- split: train
path: France/train-*
- config_name: Gabon
data_files:
- split: train
path: Gabon/train-*
- config_name: Gambia
data_files:
- split: train
path: Gambia/train-*
- config_name: Georgia
data_files:
- split: train
path: Georgia/train-*
- config_name: Germany
data_files:
- split: train
path: Germany/train-*
- config_name: Ghana
data_files:
- split: train
path: Ghana/train-*
- config_name: Greece
data_files:
- split: train
path: Greece/train-*
- config_name: Guatemala
data_files:
- split: train
path: Guatemala/train-*
- config_name: Guinea
data_files:
- split: train
path: Guinea/train-*
- config_name: Guyana
data_files:
- split: train
path: Guyana/train-*
- config_name: Haiti
data_files:
- split: train
path: Haiti/train-*
- config_name: Honduras
data_files:
- split: train
path: Honduras/train-*
- config_name: Hong Kong
data_files:
- split: train
path: Hong Kong/train-*
- config_name: Hungary
data_files:
- split: train
path: Hungary/train-*
- config_name: Iceland
data_files:
- split: train
path: Iceland/train-*
- config_name: India
data_files:
- split: train
path: India/train-*
- config_name: Indonesia
data_files:
- split: train
path: Indonesia/train-*
- config_name: Iran
data_files:
- split: train
path: Iran/train-*
- config_name: Iraq
data_files:
- split: train
path: Iraq/train-*
- config_name: Ireland
data_files:
- split: train
path: Ireland/train-*
- config_name: Israel
data_files:
- split: train
path: Israel/train-*
- config_name: Italy
data_files:
- split: train
path: Italy/train-*
- config_name: Jamaica
data_files:
- split: train
path: Jamaica/train-*
- config_name: Japan
data_files:
- split: train
path: Japan/train-*
- config_name: Jordan
data_files:
- split: train
path: Jordan/train-*
- config_name: Kazakhstan
data_files:
- split: train
path: Kazakhstan/train-*
- config_name: Kenya
data_files:
- split: train
path: Kenya/train-*
- config_name: Laos
data_files:
- split: train
path: Laos/train-*
- config_name: Latvia
data_files:
- split: train
path: Latvia/train-*
- config_name: Lebanon
data_files:
- split: train
path: Lebanon/train-*
- config_name: Lesotho
data_files:
- split: train
path: Lesotho/train-*
- config_name: Liberia
data_files:
- split: train
path: Liberia/train-*
- config_name: Libya
data_files:
- split: train
path: Libya/train-*
- config_name: Lithuania
data_files:
- split: train
path: Lithuania/train-*
- config_name: Macedonia
data_files:
- split: train
path: Macedonia/train-*
- config_name: Madagascar
data_files:
- split: train
path: Madagascar/train-*
- config_name: Malawi
data_files:
- split: train
path: Malawi/train-*
- config_name: Malaysia
data_files:
- split: train
path: Malaysia/train-*
- config_name: Mali
data_files:
- split: train
path: Mali/train-*
- config_name: Mauritania
data_files:
- split: train
path: Mauritania/train-*
- config_name: Mauritius
data_files:
- split: train
path: Mauritius/train-*
- config_name: Mexico
data_files:
- split: train
path: Mexico/train-*
- config_name: Moldova
data_files:
- split: train
path: Moldova/train-*
- config_name: Mongolia
data_files:
- split: train
path: Mongolia/train-*
- config_name: Montenegro
data_files:
- split: train
path: Montenegro/train-*
- config_name: Morocco
data_files:
- split: train
path: Morocco/train-*
- config_name: Mozambique
data_files:
- split: train
path: Mozambique/train-*
- config_name: Namibia
data_files:
- split: train
path: Namibia/train-*
- config_name: Nepal
data_files:
- split: train
path: Nepal/train-*
- config_name: Netherlands
data_files:
- split: train
path: Netherlands/train-*
- config_name: New Zealand
data_files:
- split: train
path: New Zealand/train-*
- config_name: Nicaragua
data_files:
- split: train
path: Nicaragua/train-*
- config_name: Niger
data_files:
- split: train
path: Niger/train-*
- config_name: Nigeria
data_files:
- split: train
path: Nigeria/train-*
- config_name: Norway
data_files:
- split: train
path: Norway/train-*
- config_name: Oman
data_files:
- split: train
path: Oman/train-*
- config_name: Pakistan
data_files:
- split: train
path: Pakistan/train-*
- config_name: Panama
data_files:
- split: train
path: Panama/train-*
- config_name: Papua New Guinea
data_files:
- split: train
path: Papua New Guinea/train-*
- config_name: Paraguay
data_files:
- split: train
path: Paraguay/train-*
- config_name: Peru
data_files:
- split: train
path: Peru/train-*
- config_name: Philippines
data_files:
- split: train
path: Philippines/train-*
- config_name: Poland
data_files:
- split: train
path: Poland/train-*
- config_name: Portugal
data_files:
- split: train
path: Portugal/train-*
- config_name: Puerto Rico
data_files:
- split: train
path: Puerto Rico/train-*
- config_name: Qatar
data_files:
- split: train
path: Qatar/train-*
- config_name: Reunion
data_files:
- split: train
path: Reunion/train-*
- config_name: Romania
data_files:
- split: train
path: Romania/train-*
- config_name: Russia
data_files:
- split: train
path: Russia/train-*
- config_name: Rwanda
data_files:
- split: train
path: Rwanda/train-*
- config_name: Saudi Arabia
data_files:
- split: train
path: Saudi Arabia/train-*
- config_name: Senegal
data_files:
- split: train
path: Senegal/train-*
- config_name: Serbia
data_files:
- split: train
path: Serbia/train-*
- config_name: Sierra Leone
data_files:
- split: train
path: Sierra Leone/train-*
- config_name: Singapore
data_files:
- split: train
path: Singapore/train-*
- config_name: Slovakia
data_files:
- split: train
path: Slovakia/train-*
- config_name: Slovenia
data_files:
- split: train
path: Slovenia/train-*
- config_name: Somalia
data_files:
- split: train
path: Somalia/train-*
- config_name: South Africa
data_files:
- split: train
path: South Africa/train-*
- config_name: South Korea
data_files:
- split: train
path: South Korea/train-*
- config_name: Spain
data_files:
- split: train
path: Spain/train-*
- config_name: Sri Lanka
data_files:
- split: train
path: Sri Lanka/train-*
- config_name: Sudan
data_files:
- split: train
path: Sudan/train-*
- config_name: Suriname
data_files:
- split: train
path: Suriname/train-*
- config_name: Swaziland
data_files:
- split: train
path: Swaziland/train-*
- config_name: Sweden
data_files:
- split: train
path: Sweden/train-*
- config_name: Switzerland
data_files:
- split: train
path: Switzerland/train-*
- config_name: Syria
data_files:
- split: train
path: Syria/train-*
- config_name: Taiwan
data_files:
- split: train
path: Taiwan/train-*
- config_name: Tajikistan
data_files:
- split: train
path: Tajikistan/train-*
- config_name: Tanzania
data_files:
- split: train
path: Tanzania/train-*
- config_name: Thailand
data_files:
- split: train
path: Thailand/train-*
- config_name: Togo
data_files:
- split: train
path: Togo/train-*
- config_name: Tunisia
data_files:
- split: train
path: Tunisia/train-*
- config_name: Turkey
data_files:
- split: train
path: Turkey/train-*
- config_name: Turkmenistan
data_files:
- split: train
path: Turkmenistan/train-*
- config_name: Uganda
data_files:
- split: train
path: Uganda/train-*
- config_name: Ukraine
data_files:
- split: train
path: Ukraine/train-*
- config_name: United Arab Emirates
data_files:
- split: train
path: United Arab Emirates/train-*
- config_name: United Kingdom
data_files:
- split: train
path: United Kingdom/train-*
- config_name: United States
data_files:
- split: train
path: United States/train-*
- config_name: Uruguay
data_files:
- split: train
path: Uruguay/train-*
- config_name: Uzbekistan
data_files:
- split: train
path: Uzbekistan/train-*
- config_name: Venezuela
data_files:
- split: train
path: Venezuela/train-*
- config_name: Vietnam
data_files:
- split: train
path: Vietnam/train-*
- config_name: Yemen
data_files:
- split: train
path: Yemen/train-*
- config_name: Zambia
data_files:
- split: train
path: Zambia/train-*
- config_name: Zimbabwe
data_files:
- split: train
path: Zimbabwe/train-*
language:
- en
tags:
- climate
pretty_name: World Cities Temperatures Anomalies
size_categories:
- 1M<n<10M
license: cc-by-4.0
---
提供机构:
ESmike



