README.md

metadata

annotations_creators:
  - crowdsourced
language_creators:
  - found
language:
  - ur
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - sentiment-classification
paperswithcode_id: roman-urdu-data-set
pretty_name: Roman Urdu Dataset
dataset_info:
  features:
    - name: sentence
      dtype: string
    - name: sentiment
      dtype:
        class_label:
          names:
            '0': Positive
            '1': Negative
            '2': Neutral
  splits:
    - name: train
      num_bytes: 1633411
      num_examples: 20229
  download_size: 1060033
  dataset_size: 1633411
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for Roman Urdu Dataset

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Repository: UCI Machine Learning Repository
• Point of Contact: Zareen Sharf

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Languages

Urdu

Dataset Structure

[More Information Needed]

Data Instances

Wah je wah,Positive,

Data Fields

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

[More Information Needed]

Source Data

[More Information Needed]

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

@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.