YYYYYYibo/ultrafeedback_binarized_simple_online_train_part_1_mini_1
收藏Hugging Face2024-05-20 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/YYYYYYibo/ultrafeedback_binarized_simple_online_train_part_1_mini_1
下载链接
链接失效反馈官方服务:
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: 39557707
num_examples: 5000
download_size: 21308476
dataset_size: 39557707
configs:
- config_name: default
data_files:
- split: train_prefs
path: data/train_prefs-*
---
# Dataset Card for "ultrafeedback_binarized_simple_online_train_part_1_mini_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
The dataset includes multiple features such as prompt, prompt_id, messages, score_chosen, score_rejected, reference_response, chosen, and rejected. Each feature has its specific data type, such as string or float64. The dataset is divided into different parts, such as train_prefs, containing specific numbers of bytes and examples. The size and download size of the dataset are also clearly recorded.
提供机构:
YYYYYYibo
原始信息汇总
数据集概述
数据集名称
ultrafeedback_binarized_simple_online_train_part_1_mini_1
数据集特征
- prompt (字符串类型)
- prompt_id (字符串类型)
- messages (列表类型,包含以下子特征)
- content (字符串类型)
- role (字符串类型)
- score_chosen (浮点数类型,64位)
- score_rejected (浮点数类型,64位)
- reference_response (字符串类型)
- chosen (列表类型,包含以下子特征)
- content (字符串类型)
- role (字符串类型)
- rejected (列表类型,包含以下子特征)
- content (字符串类型)
- role (字符串类型)
数据集分割
- train_prefs
- 数据大小: 39557707字节
- 示例数量: 5000
数据集大小
- 下载大小: 21308476字节
- 数据集总大小: 39557707字节
配置信息
- config_name: default
- data_files
- split: train_prefs
- path: data/train_prefs-*



