Datasets:
Tasks:
sentiment-classification
Task Categories:
text-classification
Languages:
ur
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Licenses:
unknown
Language Creators:
crowdsourced
Annotations Creators:
expert-generated
Source Datasets:
original
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Dataset Card for Urdu Sentiment Corpus (USC)
Dataset Summary
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Supported Tasks and Leaderboards
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Languages
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Dataset Structure
Data Instances
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Data Fields
- sentences: The Urdu tweet
- sentiment: The sentiment that was exhibited in the tweet, which can be Positive(P) or Negative(N) or Objective(O).
Data Splits
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Dataset Creation
Curation Rationale
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Source Data
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
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Contributions
Thanks to @chaitnayabasava for adding this dataset.