UCL-DARK/openai-tldr-summarisation-preferences

---
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- crowdsourced
- expert-generated
license:
- mit
multilinguality:
- monolingual
pretty_name: summarisation feedback
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- alignment
- text-classification
- summarisation
- human-feedback
task_categories:
- text-classification
task_ids: []
---

# Human feedback data

This is the version of the dataset used in https://arxiv.org/abs/2310.06452.

If starting a new project we would recommend using https://huggingface.co/datasets/openai/summarize_from_feedback.

See https://github.com/openai/summarize-from-feedback for original details of the dataset.

Here the data is formatted to enable huggingface transformers sequence classification models to be trained as reward functions.

原始信息汇总

数据集概述

基本信息

• 数据集名称: summarisation feedback
• 语言: 英语 (en)
• 语言创建者: 众包 (crowdsourced) 和专家生成 (expert-generated)
• 许可证: MIT
• 多语言性: 单语 (monolingual)
• 数据集大小: 10K<n<100K
• 源数据集: 原始数据 (original)

标签

• alignment
• text-classification
• summarisation
• human-feedback

任务类别

• text-classification

数据集用途

• 用于训练huggingface transformers序列分类模型作为奖励函数。