imdb_urdu_reviews / README.md
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metadata
annotations_creators:
  - found
language_creators:
  - machine-generated
language:
  - ur
license:
  - odbl
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - sentiment-classification
pretty_name: ImDB Urdu Reviews
dataset_info:
  features:
    - name: sentence
      dtype: string
    - name: sentiment
      dtype:
        class_label:
          names:
            '0': positive
            '1': negative
  splits:
    - name: train
      num_bytes: 114670791
      num_examples: 50000
  download_size: 56234303
  dataset_size: 114670791
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for ImDB Urdu Reviews

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

  • sentence: The movie review which was translated into Urdu.
  • sentiment: The sentiment exhibited in the review, either positive or negative.

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.