Dataset Card for ilist

Dataset Summary

This dataset is introduced in a task which aimed at identifying 5 closely-related languages of Indo-Aryan language family: Hindi (also known as Khari Boli), Braj Bhasha, Awadhi, Bhojpuri and Magahi. These languages form part of a continuum starting from Western Uttar Pradesh (Hindi and Braj Bhasha) to Eastern Uttar Pradesh (Awadhi and Bhojpuri) and the neighbouring Eastern state of Bihar (Bhojpuri and Magahi).

For this task, participants were provided with a dataset of approximately 15,000 sentences in each language, mainly from the domain of literature, published over the web as well as in print.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

Hindi, Braj Bhasha, Awadhi, Bhojpuri and Magahi

Dataset Structure

Data Instances

{
    "language_id": 4,
    "text": 'तभी बारिश हुई थी जिसका गीलापन इन मूर्तियों को इन तस्वीरों में एक अलग रूप देता है .'
}

Data Fields

• text: text which you want to classify
• language_id: label for the text as an integer from 0 to 4 The language ids correspond to the following languages: "AWA", "BRA", "MAG", "BHO", "HIN".

Data Splits

	train	valid	test
# of input sentences	70351	9692	10329

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

The data for this task was collected from both hard printed and digital sources. Printed materials were obtained from different institutions that promote these languages. We also gathered data from libraries, as well as from local literary and cultural groups. We collected printed stories, novels and essays in books, magazines, and newspapers.

Initial Data Collection and Normalization

We scanned the printed materials, then we performed OCR, and finally we asked native speakers of the respective languages to correct the OCR output. Since there are no specific OCR models available for these languages, we used the Google OCR for Hindi, part of the Drive API. Since all the languages used the Devanagari script, we expected the OCR to work reasonably well, and overall it did. We further managed to get some blogs in Magahi and Bhojpuri.

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

This work is licensed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0/

Citation Information

@inproceedings{zampieri-etal-2018-language,
    title = "Language Identification and Morphosyntactic Tagging: The Second {V}ar{D}ial Evaluation Campaign",
    author = {Zampieri, Marcos  and
      Malmasi, Shervin  and
      Nakov, Preslav  and
      Ali, Ahmed  and
      Shon, Suwon  and
      Glass, James  and
      Scherrer, Yves  and
      Samard{\v{z}}i{\'c}, Tanja  and
      Ljube{\v{s}}i{\'c}, Nikola  and
      Tiedemann, J{\"o}rg  and
      van der Lee, Chris  and
      Grondelaers, Stefan  and
      Oostdijk, Nelleke  and
      Speelman, Dirk  and
      van den Bosch, Antal  and
      Kumar, Ritesh  and
      Lahiri, Bornini  and
      Jain, Mayank},
    booktitle = "Proceedings of the Fifth Workshop on {NLP} for Similar Languages, Varieties and Dialects ({V}ar{D}ial 2018)",
    month = aug,
    year = "2018",
    address = "Santa Fe, New Mexico, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W18-3901",
    pages = "1--17",
}

Contributions

Thanks to @vasudevgupta7 for adding this dataset.