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Dataset Card for "IndicWikiBio"

Dataset Summary

The WikiBio dataset released as part of IndicNLG Suite. Each example has four fields: id, infobox, serialized infobox and summary. We create this dataset in nine languages including as, bn, hi, kn, ml, or, pa, ta, te. The total size of the dataset is 57,426.

Supported Tasks and Leaderboards

Tasks: WikiBio

Leaderboards: Currently there is no Leaderboard for this dataset.

Languages

  • Assamese (as)
  • Bengali (bn)
  • Kannada (kn)
  • Hindi (hi)
  • Malayalam (ml)
  • Oriya (or)
  • Punjabi (pa)
  • Tamil (ta)
  • Telugu (te)

Dataset Structure

Data Instances

One random example from the hi dataset is given below in JSON format.

{
"id": 26, 
"infobox": "name_1:सी॰\tname_2:एल॰\tname_3:रुआला\toffice_1:सांसद\toffice_2:-\toffice_3:मिजोरम\toffice_4:लोक\toffice_5:सभा\toffice_6:निर्वाचन\toffice_7:क्षेत्र\toffice_8:।\toffice_9:मिजोरम\tterm_1:2014\tterm_2:से\tterm_3:2019\tnationality_1:भारतीय", 
"serialized_infobox": "<TAG> name </TAG> सी॰ एल॰ रुआला <TAG> office </TAG> सांसद - मिजोरम लोक सभा निर्वाचन क्षेत्र । मिजोरम <TAG> term </TAG> 2014 से 2019 <TAG> nationality </TAG> भारतीय", 
"summary": "सी॰ एल॰ रुआला भारत की सोलहवीं लोक सभा के सांसद हैं।"
}

Data Fields

  • id (string): Unique identifier.
  • infobox (string): Raw Infobox.
  • serialized_infobox (string): Serialized Infobox as input.
  • summary (string): Summary of Infobox/First line of Wikipedia page.

Data Splits

Here is the number of samples in each split for all the languages.

Language ISO 639-1 Code Train Test Val
Assamese as 1,300 391 381
Bengali bn 4,615 1,521 1,567
Hindi hi 5,684 1,919 1,853
Kannada kn 1,188 389 383
Malayalam ml 5,620 1,835 1,896
Oriya or 1,687 558 515
Punjabi pa 3,796 1,227 1,331
Tamil ta 8,169 2,701 2,632
Telugu te 2,594 854 820

Dataset Creation

Curation Rationale

Detailed in the paper

Source Data

None

Initial Data Collection and Normalization

Detailed in the paper

Who are the source language producers?

Detailed in the paper

Annotations

[More information needed]

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

Contents of this repository are restricted to only non-commercial research purposes under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). Copyright of the dataset contents belongs to the original copyright holders.

Citation Information

If you use any of the datasets, models or code modules, please cite the following paper:

@inproceedings{Kumar2022IndicNLGSM,
  title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
  author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
  year={2022},
  url = "https://arxiv.org/abs/2203.05437",     

Contributions

Detailed in the paper

Models trained or fine-tuned on ai4bharat/IndicWikiBio