YYYYYYibo/ultrafeedback_binarized_dataset_offline_pairrm_part0_mini_0
收藏Hugging Face2024-05-06 更新2024-06-12 收录
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https://hf-mirror.com/datasets/YYYYYYibo/ultrafeedback_binarized_dataset_offline_pairrm_part0_mini_0
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资源简介:
---
dataset_info:
features:
- name: prompt
dtype: string
- name: prompt_id
dtype: string
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
- name: score_chosen
dtype: float64
- name: score_rejected
dtype: float64
- name: reference_response
dtype: string
- name: chosen
list:
- name: content
dtype: string
- name: role
dtype: string
- name: rejected
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train_prefs
num_bytes: 39152132
num_examples: 4900
download_size: 21936337
dataset_size: 39152132
configs:
- config_name: default
data_files:
- split: train_prefs
path: data/train_prefs-*
---
# Dataset Card for "ultrafeedback_binarized_dataset_offline_pairrm_part0_mini_0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
The dataset includes various features such as prompt, prompt_id, messages, score_chosen, score_rejected, reference_response, chosen, and rejected. Messages, chosen, and rejected are lists containing content and role. The dataset is split into a training set (train_prefs) with 4900 examples. The download size and actual size of the dataset are 21936337 bytes and 39152132 bytes respectively.
提供机构:
YYYYYYibo
原始信息汇总
数据集概述
数据集名称
- 名称: ultrafeedback_binarized_dataset_offline_pairrm_part0_mini_0
数据集特征
- prompt: 字符串类型
- prompt_id: 字符串类型
- messages: 列表类型,包含:
- content: 字符串类型
- role: 字符串类型
- score_chosen: 浮点数类型(float64)
- score_rejected: 浮点数类型(float64)
- reference_response: 字符串类型
- chosen: 列表类型,包含:
- content: 字符串类型
- role: 字符串类型
- rejected: 列表类型,包含:
- content: 字符串类型
- role: 字符串类型
数据集分割
- train_prefs:
- num_bytes: 39152132
- num_examples: 4900
数据集大小
- download_size: 21936337 字节
- dataset_size: 39152132 字节
配置
- config_name: default
- data_files:
- split: train_prefs
- path: data/train_prefs-*



