---
language:
- as
- bn
- brx
- doi
- en
- gom
- gu
- hi
- kn
- ks
- mai
- ml
- mr
- mni
- ne
- or
- pa
- sa
- sat
- sd
- ta
- te
- ur
language_details: >-
  asm_Beng, ben_Beng, brx_Deva, doi_Deva, eng_Latn, gom_Deva, guj_Gujr,
  hin_Deva, kan_Knda, kas_Arab, mai_Deva, mal_Mlym, mar_Deva, mni_Mtei, 
  npi_Deva, ory_Orya, pan_Guru, san_Deva, sat_Olck, snd_Deva, tam_Taml, 
  tel_Telu, urd_Arab
license: cc-by-4.0
language_creators:
- expert-generated
multilinguality:
- multilingual
- translation
pretty_name: in22-conv-doc
size_categories:
- 1K<n<10K
task_categories:
- translation
---

This dataset was constructed by merging individual conversations from the [IN22-Conv](https://huggingface.co/datasets/ai4bharat/IN22-Conv) dataset to create a long-context, document-level parallel benchmark. For further information on domains and statistics, please refer to the original [paper](https://openreview.net/forum?id=vfT4YuzAYA) and [dataset](https://huggingface.co/datasets/ai4bharat/IN22-Conv).