Dataset · Hugging Face

mteb/IWSLT2017BitextMining

Name: IWSLT2017BitextMining
Creator: mteb
License: cc-by-nc-nd-4.0
Keywords: task_categories:translation, annotations_creators:expert-annotated, multilinguality:multilingual, language:ara, language:cmn, language:deu, language:eng, language:fra, language:ita, language:jpn, language:kor, language:nld, language:ron, license:cc-by-nc-nd-4.0, size_categories:10K<n<100K

IWSLT2017BitextMining An MTEB dataset Massive Text Embedding Benchmark The IWSLT 2017 Multilingual Task addresses text translation, including zero-shot translation, with a single MT system across all directions including English, German, Dutch, Italian and Romanian. Task category t2t Domains Non-fiction, Fiction, Written Reference https://aclanthology.org/2017.iwslt-1.1/ How to evaluate on this task You can evaluate an embedding model on this… See the full description on the dataset page: https://huggingface.co/datasets/mteb/IWSLT2017BitextMining.

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Author / organization	mteb
License (as declared)	cc-by-nc-nd-4.0
Downloads	199 (as reported by Hugging Face)
Likes	0
Created	30 November 2024
Last updated at source	4 May 2025

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17 Oct 2026 Description: IWSLT2017BitextMining An MTEB dataset Massive Text Embedding Benchmark The IWSLT 2017 Multilingual Task addresses text translation, including zero-shot translation, with a single MT system across all directions including English, German, Du → IWSLT2017BitextMining An MTEB dataset Massive Text Embedding Benchmark The IWSLT 2017 Multilingual Task addresses text translation, including zero-shot translation, with a single MT system across all directions including English, German, Du

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