andrewsiah/MetaLearningPrefDatabase1K_toembed

---
dataset_info:
features:
- name: prompt_1
dtype: string
- name: response_1
dtype: string
- name: prompt_2
dtype: string
- name: response_2
dtype: string
- name: prompt_3
dtype: string
- name: response_3
dtype: string
- name: prompt_4
dtype: string
- name: response_4
dtype: string
- name: prompt_5
dtype: string
- name: response_5
dtype: string
- name: prompt_6
dtype: string
- name: response_6
dtype: string
- name: prompt_7
dtype: string
- name: response_7
dtype: string
- name: prompt_8
dtype: string
- name: response_8
dtype: string
- name: prompt_9
dtype: string
- name: response_9
dtype: string
- name: prompt_10
dtype: string
- name: response_10
dtype: string
- name: prompt_11
dtype: string
- name: response_11
dtype: string
- name: prompt_12
dtype: string
- name: response_12
dtype: string
- name: prompt_13
dtype: string
- name: response_13
dtype: string
- name: prompt_14
dtype: string
- name: response_14
dtype: string
- name: prompt_15
dtype: string
- name: response_15
dtype: string
- name: prompt_16
dtype: string
- name: response_16
dtype: string
- name: prompt_17
dtype: string
- name: response_17
dtype: string
- name: prompt_18
dtype: string
- name: response_18
dtype: string
- name: prompt_19
dtype: string
- name: response_19
dtype: string
- name: prompt_20
dtype: string
- name: response_20
dtype: string
- name: prompt_21
dtype: string
- name: response_21
dtype: string
- name: prompt_22
dtype: string
- name: response_22
dtype: string
- name: prompt_23
dtype: string
- name: response_23
dtype: string
- name: prompt_24
dtype: string
- name: response_24
dtype: string
- name: prompt_25
dtype: string
- name: response_25
dtype: string
- name: prompt_26
dtype: string
- name: response_26
dtype: string
- name: prompt_27
dtype: string
- name: response_27
dtype: string
- name: prompt_28
dtype: string
- name: response_28
dtype: string
- name: prompt_29
dtype: string
- name: response_29
dtype: string
- name: prompt_30
dtype: string
- name: response_30
dtype: string
- name: prompt_31
dtype: string
- name: response_31
dtype: string
- name: person_weight
sequence: float64
- name: person_id
dtype: int64
- name: prompt_32
dtype: string
- name: response_32
dtype: string
- name: prompt_33
dtype: string
- name: response_33
dtype: string
- name: prompt_34
dtype: string
- name: response_34
dtype: string
- name: prompt_35
dtype: string
- name: response_35
dtype: string
- name: prompt_36
dtype: string
- name: response_36
dtype: string
- name: prompt_37
dtype: string
- name: response_37
dtype: string
- name: prompt_38
dtype: string
- name: response_38
dtype: string
- name: prompt_39
dtype: string
- name: response_39
dtype: string
- name: prompt_40
dtype: string
- name: response_40
dtype: string
- name: prompt_41
dtype: string
- name: response_41
dtype: string
- name: prompt_42
dtype: string
- name: response_42
dtype: string
- name: prompt_43
dtype: string
- name: response_43
dtype: string
- name: prompt_44
dtype: string
- name: response_44
dtype: string
- name: prompt_45
dtype: string
- name: response_45
dtype: string
- name: prompt_46
dtype: string
- name: response_46
dtype: string
- name: prompt_47
dtype: string
- name: response_47
dtype: string
- name: prompt_48
dtype: string
- name: response_48
dtype: string
- name: prompt_49
dtype: string
- name: response_49
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 80410751
num_examples: 1000
download_size: 48564045
dataset_size: 80410751
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

The dataset consists of multiple pairs of prompts and responses, each with specified names and data types. Additionally, it includes features such as person_weight and person_id. The dataset is divided into a training set with 1000 examples.

原始信息汇总

数据集概述

数据集特征

• prompt_1 至 prompt_49：字符串类型
• response_1 至 response_49：字符串类型
• person_weight：浮点数序列类型
• person_id：整数类型
• index_level_0：整数类型

数据集分割

• train：包含1000个样本，数据量大小为80410751字节

数据集大小

• 下载大小：48564045字节
• 数据集大小：80410751字节