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---
task_categories:
- sequence-modeling
task_ids:
- language-modeling
multilinguality:
- translation
languages:
- en
- hi
- ta
- te
- ml
- ur
- bn
- mr
- gu
- or
- pa
language_creators:
- other
annotations_creators:
- no-annotation
source_datasets:
- original
size_categories:
bn-en:
- 10K<n<100K
bn-gu:
- 1K<n<10K
bn-hi:
- 10K<n<100K
bn-ml:
- 1K<n<10K
bn-mr:
- 1K<n<10K
bn-or:
- n<1K
bn-pa:
- 1K<n<10K
bn-ta:
- 1K<n<10K
bn-te:
- n<1K
bn-ur:
- 1K<n<10K
en-gu:
- 10K<n<100K
en-hi:
- 100K<n<1M
en-ml:
- 10K<n<100K
en-mr:
- 10K<n<100K
en-or:
- 1K<n<10K
en-pa:
- 10K<n<100K
en-ta:
- 10K<n<100K
en-te:
- 1K<n<10K
en-ur:
- 10K<n<100K
gu-hi:
- 10K<n<100K
gu-ml:
- 1K<n<10K
gu-mr:
- 1K<n<10K
gu-or:
- n<1K
gu-pa:
- 1K<n<10K
gu-ta:
- 1K<n<10K
gu-te:
- 1K<n<10K
gu-ur:
- 1K<n<10K
hi-ml:
- 1K<n<10K
hi-mr:
- 10K<n<100K
hi-or:
- 1K<n<10K
hi-pa:
- 1K<n<10K
hi-ta:
- 10K<n<100K
hi-te:
- 1K<n<10K
hi-ur:
- 1K<n<10K
ml-mr:
- 1K<n<10K
ml-or:
- n<1K
ml-pa:
- 1K<n<10K
ml-ta:
- 1K<n<10K
ml-te:
- 1K<n<10K
ml-ur:
- 1K<n<10K
mr-or:
- n<1K
mr-pa:
- 1K<n<10K
mr-ta:
- 10K<n<100K
mr-te:
- n<1K
mr-ur:
- 1K<n<10K
or-pa:
- n<1K
or-ta:
- n<1K
or-te:
- n<1K
or-ur:
- n<1K
pa-ta:
- 1K<n<10K
pa-te:
- 1K<n<10K
pa-ur:
- 1K<n<10K
ta-te:
- 1K<n<10K
ta-ur:
- 1K<n<10K
te-ur:
- n<1K
licenses:
- cc-by-4-0
paperswithcode_id: null
pretty_name: CVIT PIB
---
# Dataset Card for CVIT PIB
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
### Dataset Description
- **Homepage:** http://preon.iiit.ac.in/~jerin/bhasha/
- **Paper:** https://arxiv.org/abs/2008.04860
- **Point of Contact:** [Mailing List](cvit-bhasha@googlegroups.com)
### Dataset Summary
This dataset is the large scale sentence aligned corpus in 11 Indian languages, viz. CVIT-PIB corpus that is the largest multilingual corpus available for Indian languages.
### Languages
Parallel data for following languages [en, bn, gu, hi, ml, mr, pa, or, ta, te, ur] are covered.
### Citation Information
```
@InProceedings{cvit-pib:multilingual-corpus,
title = {Revisiting Low Resource Status of Indian Languages in Machine Translation},
authors={Jerin Philip, Shashank Siripragada, Vinay P. Namboodiri, C.V. Jawahar
},
year={2020}
}
```
### Contributions
Thanks to [@vasudevgupta7](https://github.com/vasudevgupta7) for adding this dataset. |