cestwc/text_classification

---
dataset_info:
- config_name: ag_news
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': World
'1': Sports
'2': Business
'3': Sci/Tech
- name: glove
sequence: float64
- name: word2vec
sequence: float64
- name: fasttext
sequence: float64
splits:
- name: train
num_bytes: 747787977
num_examples: 127600
download_size: 717630530
dataset_size: 747787977
- config_name: amazon_reviews
features:
- name: text
dtype: string
- name: label
dtype: int64
- name: glove
sequence: float64
- name: word2vec
sequence: float64
- name: fasttext
sequence: float64
splits:
- name: train
num_bytes: 1218704865
num_examples: 210000
download_size: 1147756545
dataset_size: 1218704865
- config_name: emotion
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': sadness
'1': joy
'2': love
'3': anger
'4': fear
'5': surprise
- name: fasttext
sequence: float64
- name: glove
sequence: float64
- name: word2vec
sequence: float64
splits:
- name: train
num_bytes: 114413401
num_examples: 20000
download_size: 104458522
dataset_size: 114413401
- config_name: imdb
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': neg
'1': pos
- name: fasttext
sequence: float64
- name: glove
sequence: float64
- name: word2vec
sequence: float64
splits:
- name: train
num_bytes: 346683508
num_examples: 50000
download_size: 344879514
dataset_size: 346683508
- config_name: multi_nli
features:
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
- name: text
dtype: string
- name: glove
sequence: float64
- name: word2vec
sequence: float64
- name: fasttext
sequence: float64
splits:
- name: train
num_bytes: 2389531917
num_examples: 412349
download_size: 2243248541
dataset_size: 2389531917
- config_name: tweet_eval
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': negative
'1': neutral
'2': positive
- name: glove
sequence: float64
- name: word2vec
sequence: float64
- name: fasttext
sequence: float64
splits:
- name: train
num_bytes: 343075422
num_examples: 59899
download_size: 315331899
dataset_size: 343075422
- config_name: yelp_review_full
features:
- name: label
dtype:
class_label:
names:
'0': 1 star
'1': 2 star
'2': 3 stars
'3': 4 stars
'4': 5 stars
- name: text
dtype: string
- name: glove
sequence: float64
- name: word2vec
sequence: float64
- name: fasttext
sequence: float64
splits:
- name: train
num_bytes: 4449129014
num_examples: 700000
download_size: 4414593456
dataset_size: 4449129014
configs:
- config_name: ag_news
data_files:
- split: train
path: ag_news/train-*
- config_name: amazon_reviews
data_files:
- split: train
path: amazon_reviews/train-*
- config_name: emotion
data_files:
- split: train
path: emotion/train-*
- config_name: imdb
data_files:
- split: train
path: imdb/train-*
- config_name: multi_nli
data_files:
- split: train
path: multi_nli/train-*
- config_name: tweet_eval
data_files:
- split: train
path: tweet_eval/train-*
- config_name: yelp_review_full
data_files:
- split: train
path: yelp_review_full/train-*
---

原始信息汇总

数据集概述

数据集配置

1. AG News

• 特征:
  • text: 类型为 string
  • label: 类型为 class_label，标签名称为 World, Sports, Business, Sci/Tech
  • glove: 类型为 sequence，数据类型为 float64
  • word2vec: 类型为 sequence，数据类型为 float64
  • fasttext: 类型为 sequence，数据类型为 float64
• 分割:
  • train: 字节数为 747787977，样本数为 127600
• 下载大小: 717630530 字节
• 数据集大小: 747787977 字节

2. Amazon Reviews

• 特征:
  • text: 类型为 string
  • label: 类型为 int64
  • glove: 类型为 sequence，数据类型为 float64
  • word2vec: 类型为 sequence，数据类型为 float64
  • fasttext: 类型为 sequence，数据类型为 float64
• 分割:
  • train: 字节数为 1218704865，样本数为 210000
• 下载大小: 1147756545 字节
• 数据集大小: 1218704865 字节

3. Emotion

• 特征:
  • text: 类型为 string
  • label: 类型为 class_label，标签名称为 sadness, joy, love, anger, fear, surprise
  • fasttext: 类型为 sequence，数据类型为 float64
  • glove: 类型为 sequence，数据类型为 float64
  • word2vec: 类型为 sequence，数据类型为 float64
• 分割:
  • train: 字节数为 114413401，样本数为 20000
• 下载大小: 104458522 字节
• 数据集大小: 114413401 字节

4. IMDB

• 特征:
  • text: 类型为 string
  • label: 类型为 class_label，标签名称为 neg, pos
  • fasttext: 类型为 sequence，数据类型为 float64
  • glove: 类型为 sequence，数据类型为 float64
  • word2vec: 类型为 sequence，数据类型为 float64
• 分割:
  • train: 字节数为 346683508，样本数为 50000
• 下载大小: 344879514 字节
• 数据集大小: 346683508 字节

5. Multi NLI

• 特征:
  • label: 类型为 class_label，标签名称为 entailment, neutral, contradiction
  • text: 类型为 string
  • glove: 类型为 sequence，数据类型为 float64
  • word2vec: 类型为 sequence，数据类型为 float64
  • fasttext: 类型为 sequence，数据类型为 float64
• 分割:
  • train: 字节数为 2389531917，样本数为 412349
• 下载大小: 2243248541 字节
• 数据集大小: 2389531917 字节

6. Tweet Eval

• 特征:
  • text: 类型为 string
  • label: 类型为 class_label，标签名称为 negative, neutral, positive
  • glove: 类型为 sequence，数据类型为 float64
  • word2vec: 类型为 sequence，数据类型为 float64
  • fasttext: 类型为 sequence，数据类型为 float64
• 分割:
  • train: 字节数为 343075422，样本数为 59899
• 下载大小: 315331899 字节
• 数据集大小: 343075422 字节

7. Yelp Review Full

• 特征:
  • label: 类型为 class_label，标签名称为 1 star, 2 star, 3 stars, 4 stars, 5 stars
  • text: 类型为 string
  • glove: 类型为 sequence，数据类型为 float64
  • word2vec: 类型为 sequence，数据类型为 float64
  • fasttext: 类型为 sequence，数据类型为 float64
• 分割:
  • train: 字节数为 4449129014，样本数为 700000
• 下载大小: 4414593456 字节
• 数据集大小: 4449129014 字节