ai4bharat/IN22-Conv
IN22-Conv IN-22 is a newly created comprehensive benchmark for evaluating machine translation performance in multi-domain, n-way parallel contexts across 22 Indic languages. IN22-Conv is the conversation domain subset of IN22. It is designed to assess translation quality in typical day-to-day conversational-style applications. The evaluation subset consists of 1503 sentences translated across 22 Indic languages enabling evaluation of MT systems across 506 directions. Currently… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/IN22-Conv.
| Author / organization | ai4bharat |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 407 (as reported by Hugging Face) |
| Likes | 12 |
| Created | 9 September 2023 |
| Last updated at source | 19 March 2025 |
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407 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: IN22-Conv IN-22 is a newly created comprehensive benchmark for evaluating machine translation performance in multi-domain, n-way parallel contexts across 22 Indic languages. IN22-Conv is the conversation domain subset of IN22. It is designe → IN22-Conv IN-22 is a newly created comprehensive benchmark for evaluating machine translation performance in multi-domain, n-way parallel contexts across 22 Indic languages. IN22-Conv is the conversation domain subset of IN22. It is designe
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