mlabonne/distilabel-truthy-dpo-v0.1
收藏Hugging Face2024-02-12 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/mlabonne/distilabel-truthy-dpo-v0.1
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资源简介:
---
dataset_info:
features:
- name: id
dtype: string
- name: source
dtype: string
- name: system
dtype: string
- name: input
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
- name: generations
sequence: string
- name: order
sequence: string
- name: labelling_model
dtype: string
- name: labelling_prompt
list:
- name: content
dtype: string
- name: role
dtype: string
- name: raw_labelling_response
dtype: string
- name: rating
sequence: float64
- name: rationale
dtype: string
- name: status
dtype: string
- name: original_chosen
dtype: string
- name: original_rejected
dtype: string
- name: chosen_score
dtype: float64
splits:
- name: train
num_bytes: 7956438
num_examples: 1016
download_size: 3717532
dataset_size: 7956438
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# distilabel-truthy-dpo-v0.1
A DPO dataset built with [distilabel](https://github.com/argilla-io/distilabel) on top of Jon Durbin's [jondurbin/truthy-dpo-v0.1](https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1) dataset.
Interestingly, it swaps a lot of chosen and rejected answers.
<p align="center">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
提供机构:
mlabonne
原始信息汇总
数据集概述
数据集信息
特征
- id: 字符串类型
- source: 字符串类型
- system: 字符串类型
- input: 字符串类型
- chosen: 字符串类型
- rejected: 字符串类型
- generations: 字符串序列
- order: 字符串序列
- labelling_model: 字符串类型
- labelling_prompt: 列表类型,包含以下字段:
- content: 字符串类型
- role: 字符串类型
- raw_labelling_response: 字符串类型
- rating: 浮点数序列
- rationale: 字符串类型
- status: 字符串类型
- original_chosen: 字符串类型
- original_rejected: 字符串类型
- chosen_score: 浮点数类型
数据分割
- train:
- 字节数: 7956438
- 样本数: 1016
数据大小
- 下载大小: 3717532 字节
- 数据集大小: 7956438 字节
配置
- config_name: default
- data_files:
- split: train
- path: data/train-*
- data_files:



