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mteb/IN22ConvBitextMining

IN22ConvBitextMining An MTEB dataset Massive Text Embedding Benchmark IN22-Conv is a n-way parallel conversation domain benchmark dataset for machine translation spanning English and 22 Indic languages. Task category t2t Domains Social, Spoken, Fiction, Spoken Reference https://huggingface.co/datasets/ai4bharat/IN22-Conv Source datasets: mteb/IN22-Conv How to evaluate on this task You can evaluate an embedding model on this dataset using the… See the full description on the dataset page: https://huggingface.co/datasets/mteb/IN22ConvBitextMining.

Author / organizationmteb
License (as declared)cc-by-4.0
Downloads329 (as reported by Hugging Face)
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Created10 September 2025
Last updated at source18 October 2025
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  • 17 Oct 2026 Description: IN22ConvBitextMining An MTEB dataset Massive Text Embedding Benchmark IN22-Conv is a n-way parallel conversation domain benchmark dataset for machine translation spanning English and 22 Indic languages. Task category t2t Domains Social, Spo → IN22ConvBitextMining An MTEB dataset Massive Text Embedding Benchmark IN22-Conv is a n-way parallel conversation domain benchmark dataset for machine translation spanning English and 22 Indic languages. Task category t2t Domains Social, Spo

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