{"@type": "dcat:Dataset", "accessLevel": "public", "bureauCode": ["006:55"], "contactPoint": {"fn": "Ian Soboroff", "hasEmail": "mailto:ian.soboroff@nist.gov"}, "description": "The Tip-of-the-Tongue (ToT) Track focuses on the known-item identification task where the searcher has previously experienced or consumed the item (e.g., a movie) but cannot recall a reliable identifier (i.e., It's on the tip of my tongue...). Unlike traditional ad-hoc keyword-based search, these information requests tend to be natural-language, verbose, and complex containing a wide variety of search strategies such as multi-hop reasoning, and frequently express uncertainty and suffer from false memories.", "distribution": [{"accessURL": "https://trec.nist.gov/data/tot/2023-dev.zip", "title": "2023 Tip-of-the-Tongue development data"}, {"accessURL": "https://trec.nist.gov/data/tot/2023-qrels.txt", "title": "2023 Tip of the Tongue QRels"}, {"accessURL": "https://trec.nist.gov/data/tot/2023-test.zip", "title": "2023 Tip-of-the-Tongue test data"}, {"accessURL": "https://trec.nist.gov/data/tot/2023-train.zip", "title": "2023 Tip-of-the-Tongue training data"}, {"description": "This corpus is distributed by the track coordinators via Zenodo", "downloadURL": "https://zenodo.org/records/11185090/files/corpus.jsonl.zip?download=1", "format": "JSON lines, compressed with zip", "mediaType": "application/zip", "title": "2023 Tip-of-the-Tongue corpus"}], "identifier": "ark:/88434/mds2-3275", "issued": "2024-11-27", "keyword": ["TREC text retrieval conference"], "language": ["en"], "license": "https://www.nist.gov/open/license", "modified": "2024-05-09 00:00:00", "programCode": ["006:045"], "publisher": {"@type": "org:Organization", "name": "National Institute of Standards and Technology"}, "references": ["https://trec.nist.gov/pubs/trec32/papers/Overview_tot.pdf"], "theme": ["Information Technology:Data and informatics"], "title": "TREC 2023 Tip-of-the-Tongue dataset"}