license: cc-by-nc-4.0
size_categories:
- 10K<n<100K
language:
- en
Update on December 24, 2023: Improve the format of answers： force all answers to be provide the refered original text first.
English multi document Q&A data created using RedPajamaCommonCrawl data as reference text
In the Raw dataset, each sample contains one reference document, 199 irrelevant documents, and a Q-A pair based on the reference document. It can be used to train models to extract the target information from a large number of documents.
After filtering, integrating, and transforming the raw data into chatml format instruction fine-tuning data, each sample contains approximately 30 reference documents and 5 corresponding QA pairs.
2023.12.4更新：改进答案的格式，强制所有答案在回答时必须先给出原文。
以RedPajamaCommonCrawl数据为参考文本，制作的英文多文档问答数据
原始数据中，每个样本包含 一个参考文档、199个无关文档、一个基于参考文档的问答对。可以训练模型从大量文档中抽取关键信息的能力。
原始数据经过筛选、整合转化为chatml形式的指令微调数据后，每条数据大约包含30个参考文档，以及5个对应的问答对。
dataset size: 11k