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metadata
annotations_creators:
  - expert-generated
language_creators:
  - crowdsourced
language:
  - ur
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - sentiment-classification
paperswithcode_id: urdu-sentiment-corpus
pretty_name: Urdu Sentiment Corpus (USC)
dataset_info:
  features:
    - name: sentence
      dtype: string
    - name: sentiment
      dtype:
        class_label:
          names:
            '0': P
            '1': 'N'
            '2': O
  splits:
    - name: train
      num_bytes: 161190
      num_examples: 1000
  download_size: 51583
  dataset_size: 161190

Dataset Card for Urdu Sentiment Corpus (USC)

Table of Contents

Dataset Description

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

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

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

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

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @chaitnayabasava for adding this dataset.