Dataset · Hugging Face

ibm-research/FeTaQARetrieval

Name: FeTaQARetrieval
Creator: ibm-research
License: cc-by-4.0
Keywords: task_categories:text-retrieval, task_ids:document-retrieval, annotations_creators:derived, multilinguality:monolingual, language:eng, license:cc-by-4.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, table-retrieval

FeTaQA Retrieval Table retrieval benchmark dataset. Includes queries and relevance judgments across test split(s), with corpus in 2 format(s): corpus_md, corpus_structure. Configs Config Description Split(s) default Relevance judgments (qrels): qid, did, score test queries Query IDs and text test_queries corpus_md Markdown table representation corpus_md corpus_structure Structured corpus with headers, cells, meta_data. text field corresponds to… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/FeTaQARetrieval.

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Author / organization	ibm-research
License (as declared)	cc-by-4.0
Downloads	213 (as reported by Hugging Face)
Likes	0
Created	5 November 2025
Last updated at source	17 February 2026

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16 Oct 2026 Description: FeTaQA Retrieval Table retrieval benchmark dataset. Includes queries and relevance judgments across test split(s), with corpus in 2 format(s): corpus_md, corpus_structure. Configs Config Description Split(s) default Relevance judgments (qre → FeTaQA Retrieval Table retrieval benchmark dataset. Includes queries and relevance judgments across test split(s), with corpus in 2 format(s): corpus_md, corpus_structure. Configs Config Description Split(s) default Relevance judgments (qre

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