README.md

metadata

task_categories:
  - sequence-modeling
multilinguality:
  - translation
task_ids:
  - language-modeling
languages:
  - hi
  - te
  - ta
  - ml
  - gu
  - ur
  - bn
  - or
  - mr
  - pa
  - en
annotations_creators:
  - no-annotation
source_datasets:
  - original
size_categories:
  bn-en:
    - 1K<n<10K
  bn-gu:
    - 1K<n<10K
  bn-hi:
    - 1K<n<10K
  bn-ml:
    - 1K<n<10K
  bn-mr:
    - 1K<n<10K
  bn-or:
    - n<1K
  bn-ta:
    - 1K<n<10K
  bn-te:
    - 1K<n<10K
  bn-ur:
    - n<1K
  en-gu:
    - 1K<n<10K
  en-hi:
    - 1K<n<10K
  en-ml:
    - 1K<n<10K
  en-mr:
    - 1K<n<10K
  en-or:
    - n<1K
  en-ta:
    - 1K<n<10K
  en-te:
    - 1K<n<10K
  en-ur:
    - 1K<n<10K
  gu-hi:
    - 1K<n<10K
  gu-ml:
    - 1K<n<10K
  gu-mr:
    - 1K<n<10K
  gu-or:
    - n<1K
  gu-ta:
    - 1K<n<10K
  gu-te:
    - 1K<n<10K
  gu-ur:
    - n<1K
  hi-ml:
    - 1K<n<10K
  hi-mr:
    - 1K<n<10K
  hi-or:
    - n<1K
  hi-ta:
    - 1K<n<10K
  hi-te:
    - 1K<n<10K
  hi-ur:
    - n<1K
  ml-mr:
    - 1K<n<10K
  ml-or:
    - n<1K
  ml-ta:
    - 1K<n<10K
  ml-te:
    - 1K<n<10K
  ml-ur:
    - n<1K
  mr-or:
    - n<1K
  mr-ta:
    - 1K<n<10K
  mr-te:
    - 1K<n<10K
  mr-ur:
    - n<1K
  or-ta:
    - n<1K
  or-te:
    - n<1K
  or-ur:
    - n<1K
  ta-te:
    - 1K<n<10K
  ta-ur:
    - n<1K
  te-ur:
    - n<1K
licenses:
  - cc-by-4-0

Dataset Card Creation Guide

Table of Contents

• Dataset Card Creation Guide
  • Table of Contents
  • Dataset Description
    • Dataset Summary
    • Supported Tasks and Leaderboards
    • Languages
  • Dataset Structure
    • Data Instances
    • Data Fields
    • Data Splits
  • Dataset Creation
    • Curation Rationale
    • Source Data
      • Initial Data Collection and Normalization
      • Who are the source language producers?
    • Annotations
      • Annotation process
      • Who are the annotators?
    • Personal and Sensitive Information
  • Considerations for Using the Data
    • Social Impact of Dataset
    • Discussion of Biases
    • Other Known Limitations
  • Additional Information
    • Dataset Curators
    • Licensing Information
    • Citation Information

Dataset Description

• Homepage: Link
• Repository:
• Paper: ARXIV
• Leaderboard:
• Point of Contact: cvit-bhasha@googlegroups.com

Dataset Summary

Indian Prime Minister's speeches - Mann Ki Baat, on All India Radio, translated into many languages.

Supported Tasks and Leaderboards

[MORE INFORMATION NEEDED]

Languages

Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English

Dataset Structure

Data Instances

[MORE INFORMATION NEEDED]

Data Fields

• src_tag: string text in source language
• tgt_tag: string translation of source language in target language

Data Splits

[MORE INFORMATION NEEDED]

Dataset Creation

Curation Rationale

[MORE INFORMATION NEEDED]

Source Data

[MORE INFORMATION NEEDED]

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

The datasets and pretrained models provided here are licensed under Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Information

@misc{siripragada2020multilingual,
      title={A Multilingual Parallel Corpora Collection Effort for Indian Languages},
      author={Shashank Siripragada and Jerin Philip and Vinay P. Namboodiri and C V Jawahar},
      year={2020},
      eprint={2007.07691},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Contributions

Thanks to @vasudevgupta7 for adding this dataset.