Each row consists of a short Urdu text, followed by a sentiment label. The labels are one of Positive, Negative, and Neutral. Note that the original source file is a comma-separated values file.

sentence: A short Urdu text
label: One of Positive, Negative, and Neutral, indicating the polarity of the sentiment expressed in the sentence

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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Annotations

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

@InProceedings{Sharf:2018,
  title     = "Performing Natural Language Processing on Roman Urdu Datasets",
  authors   = "Zareen Sharf and Saif Ur Rahman",
  booktitle = "International Journal of Computer Science and Network Security",
  volume    = "18",
  number    = "1",
  pages     = "141-148",
  year      = "2018"
}

@misc{Dua:2019,
  author      = "Dua, Dheeru and Graff, Casey",
  year        = "2017",
  title       = "{UCI} Machine Learning Repository",
  url         = "http://archive.ics.uci.edu/ml",
  institution = "University of California, Irvine, School of Information and Computer Sciences"
}

Contributions

Thanks to @jaketae for adding this dataset.

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Repository:

UCI Machine Learning Repository