Dataset · Hugging Face

ibm-research/OTTQASmallRetrieval

Name: OTTQASmallRetrieval
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

OTT-QA Retrieval This dataset is part of a Table + Text retrieval benchmark. Includes queries and relevance judgments across dev split(s), with corpus in 3 format(s): corpus_linearized, corpus_md, corpus_structure. Configs Config Description Split(s) default Relevance judgments (qrels): qid, did, score dev queries Query IDs and text dev_queries corpus_linearized Linearized table representation corpus_linearized corpus_md Markdown table… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/OTTQASmallRetrieval.

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Author / organization	ibm-research
License (as declared)	cc-by-4.0
Downloads	170 (as reported by Hugging Face)
Likes	1
Created	5 November 2025
Last updated at source	17 February 2026

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16 Oct 2026 Description: OTT-QA Retrieval This dataset is part of a Table + Text retrieval benchmark. Includes queries and relevance judgments across dev split(s), with corpus in 3 format(s): corpus_linearized, corpus_md, corpus_structure. Configs Config Descriptio → OTT-QA Retrieval This dataset is part of a Table + Text retrieval benchmark. Includes queries and relevance judgments across dev split(s), with corpus in 3 format(s): corpus_linearized, corpus_md, corpus_structure. Configs Config Descriptio

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