README.md

Here is the dataset for supporting the project RAG_fairness, Paper Title
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems

Official Gihub Repo

The RAG_fairness_corpus.tar.gz contains the raw wiki corpus used in this project.

• wiki_dump.jsonl: the raw wiki dumps (14G~, 21,015,324 docs), used for building the index (bm25 or e5) for BBQ evaluation, you can get more information from official FLASHRAG REPO for more deatails about how to create the wiki_dump.jsonl file.
  • Format: '{"id": "", "contents": ""}'
• trec_fair_2022_train_id_title_only_first_100w_clean_corpus.jsonl: our special version for trec-fair/2022/train (4G~, 6,300,043 docs), used for building the index (bm25 or e5). You can follow our code in github for more details how to build, which based on this implementation.
  • Format: '{"id": "", "title": "", "text": ""}'
• trec_fair_2022_train_id_title_only_first_100w_clean_corpus_formatted.jsonl: our special version for trec-fair/2022/train (4G~, 6,300,043 docs), used for FlashRAG retrival format. You can follow our code in github for more details how to build, which based on this implementation.
  • Format: '{"id": "", "contents": ""}'

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license: apache-2.0