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 / organization | mteb |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 329 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 10 September 2025 |
| Last updated at source | 18 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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