Task Categories: text-classification
Multilinguality: multilingual
Size Categories: 10K<n<100K
Licenses: unknown
Annotations Creators: unknown
Source Datasets: original
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Dataset Card Creation Guide

Dataset Summary

This datasets 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

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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

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Source Data

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Initial Data Collection and Normalization

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Who are the source language producers?

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Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

    title = "Proceedings of the Fifth Workshop on {NLP} for Similar Languages, Varieties and Dialects ({V}ar{D}ial 2018)",
    editor = {Zampieri, Marcos  and
      Nakov, Preslav  and
      Ljube{\v{s}}i{\'c}, Nikola  and
      Tiedemann, J{\"o}rg  and
      Malmasi, Shervin  and
      Ali, Ahmed},
    month = aug,
    year = "2018",
    address = "Santa Fe, New Mexico, USA",
    publisher = "Association for Computational Linguistics",
    url = "",


Thanks to @vasudevgupta7 for adding this dataset.

Update on GitHub

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