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mteb/NanoTouche2020Retrieval

NanoTouche2020Retrieval An MTEB dataset Massive Text Embedding Benchmark NanoTouche2020 is a smaller subset of Touché Task 1: Argument Retrieval for Controversial Questions. Task category t2t Domains Academic Reference https://webis.de/events/touche-20/shared-task-1.html How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["NanoTouche2020Retrieval"]) evaluator… See the full description on the dataset page: https://huggingface.co/datasets/mteb/NanoTouche2020Retrieval.

Author / organizationmteb
License (as declared)cc-by-4.0
Downloads420 (as reported by Hugging Face)
Likes0
Created7 May 2025
Last updated at source7 May 2025
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  • 17 Oct 2026 Description: NanoTouche2020Retrieval An MTEB dataset Massive Text Embedding Benchmark NanoTouche2020 is a smaller subset of Touché Task 1: Argument Retrieval for Controversial Questions. Task category t2t Domains Academic Referencehttps://webis.de/event → NanoTouche2020Retrieval An MTEB dataset Massive Text Embedding Benchmark NanoTouche2020 is a smaller subset of Touché Task 1: Argument Retrieval for Controversial Questions. Task category t2t Domains Academic Reference https://webis.de/even

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