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Dataset Card for CVIT PIB

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.

Supported Tasks and Leaderboards

  • Machine Translation

Languages

Parallel data for following languages [en, bn, gu, hi, ml, mr, pa, or, ta, te, ur] are covered.

Dataset Structure

Data Instances

An example for the "gu-pa" language pair:

{
  'translation': {
    'gu': 'એવો નિર્ણય લેવાયો હતો કે ખંતપૂર્વકની કામગીરી હાથ ધરવા, કાયદેસર અને ટેકનિકલ મૂલ્યાંકન કરવા, વેન્ચર કેપિટલ ઇન્વેસ્ટમેન્ટ સમિતિની બેઠક યોજવા વગેરે એઆઇએફને કરવામાં આવેલ પ્રતિબદ્ધતાના 0.50 ટકા સુધી અને બાકીની રકમ એફએફએસને પૂર્ણ કરવામાં આવશે.',
    'pa': 'ਇਹ ਵੀ ਫੈਸਲਾ ਕੀਤਾ ਗਿਆ ਕਿ ਐੱਫਆਈਆਈ ਅਤੇ ਬਕਾਏ ਲਈ ਕੀਤੀਆਂ ਗਈਆਂ ਵਚਨਬੱਧਤਾਵਾਂ ਦੇ 0.50 % ਦੀ ਸੀਮਾ ਤੱਕ ਐੱਫਈਐੱਸ ਨੂੰ ਮਿਲਿਆ ਜਾਏਗਾ, ਇਸ ਨਾਲ ਉੱਦਮ ਪੂੰਜੀ ਨਿਵੇਸ਼ ਕਮੇਟੀ ਦੀ ਬੈਠਕ ਦਾ ਆਯੋਜਨ ਉਚਿਤ ਸਾਵਧਾਨੀ, ਕਾਨੂੰਨੀ ਅਤੇ ਤਕਨੀਕੀ ਮੁੱਲਾਂਕਣ ਲਈ ਸੰਚਾਲਨ ਖਰਚ ਆਦਿ ਦੀ ਪੂਰਤੀ ਹੋਵੇਗੀ।'
  }
}

Data Fields

  • translation: Translation field containing the parallel text for the pair of languages.

Data Splits

The dataset is in a single "train" split.

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

Creative Commons Attribution-ShareAlike 4.0 International license.

Citation Information

@inproceedings{siripragada-etal-2020-multilingual,
    title = "A Multilingual Parallel Corpora Collection Effort for {I}ndian Languages",
    author = "Siripragada, Shashank  and
      Philip, Jerin  and
      Namboodiri, Vinay P.  and
      Jawahar, C V",
    booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.lrec-1.462",
    pages = "3743--3751",
    language = "English",
    ISBN = "979-10-95546-34-4",
}
@article{2020,
   title={Revisiting Low Resource Status of Indian Languages in Machine Translation},
   url={http://dx.doi.org/10.1145/3430984.3431026},
   DOI={10.1145/3430984.3431026},
   journal={8th ACM IKDD CODS and 26th COMAD},
   publisher={ACM},
   author={Philip, Jerin and Siripragada, Shashank and Namboodiri, Vinay P. and Jawahar, C. V.},
   year={2020},
   month={Dec}
}

Contributions

Thanks to @vasudevgupta7 for adding this dataset, and @albertvillanova for updating its version.

Update on GitHub

Models trained or fine-tuned on pib