andrewsiah/personalization_prompt_response_mistral_raft

---
dataset_info:
features:
- name: reward_1
dtype: float64
- name: reward_2
dtype: float64
- name: reward_3
dtype: float64
- name: reward_4
dtype: float64
- name: reward_5
dtype: float64
- name: reward_6
dtype: float64
- name: reward_7
dtype: float64
- name: reward_8
dtype: float64
- name: prompt
dtype: string
- name: subset
dtype: string
- name: id
dtype: int64
- name: response_1
dtype: string
- name: response_1_model
dtype: string
- name: response_2
dtype: string
- name: response_2_model
dtype: string
- name: response_3
dtype: string
- name: response_3_model
dtype: string
- name: response_4
dtype: string
- name: response_4_model
dtype: string
- name: response_5
dtype: string
- name: response_5_model
dtype: string
- name: response_6
dtype: string
- name: response_6_model
dtype: string
- name: response_7
dtype: string
- name: response_7_model
dtype: string
- name: response_8
dtype: string
- name: response_8_model
dtype: string
- name: rformatted_promptresponse_1
dtype: string
- name: rformatted_promptresponse_2
dtype: string
- name: rformatted_promptresponse_3
dtype: string
- name: rformatted_promptresponse_4
dtype: string
- name: rformatted_promptresponse_5
dtype: string
- name: rformatted_promptresponse_6
dtype: string
- name: rformatted_promptresponse_7
dtype: string
- name: rformatted_promptresponse_8
dtype: string
splits:
- name: train
num_bytes: 314058540
num_examples: 10431
download_size: 185946623
dataset_size: 314058540
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

The dataset includes multiple reward features (reward_1 to reward_8), with data type float64, representing different reward values. Additionally, it contains prompt and subset features, with data type string, and an id feature, with data type int64. The dataset also includes multiple response features and their corresponding model information, as well as formatted prompt-response pairs (rformatted_promptresponse). The dataset is divided into a training set (train), containing 10431 samples, with a total size of 314058540 bytes.

原始信息汇总

数据集概述

数据集特征

• reward_1 至 reward_8: 数据类型为 float64。
• prompt: 数据类型为 string。
• subset: 数据类型为 string。
• id: 数据类型为 int64。
• response_1 至 response_8: 数据类型为 string。
• response_1_model 至 response_8_model: 数据类型为 string。
• rformatted_promptresponse_1 至 rformatted_promptresponse_8: 数据类型为 string。

数据集分割

• train:
  • 数据大小: 314,058,540 字节
  • 示例数量: 10,431

数据集大小

• 下载大小: 185,946,623 字节
• 数据集大小: 314,058,540 字节