README.md

metadata

annotations_creators:
  - no-annotation
language_creators:
  - other
language:
  - en
  - ur
license:
  - unknown
multilinguality:
  - multilingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - translation
task_ids: []
paperswithcode_id: umc005-english-urdu
pretty_name: UMC005 English-Urdu
dataset_info:
  - config_name: all
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - ur
              - en
    splits:
      - name: train
        num_bytes: 5360817
        num_examples: 13400
      - name: validation
        num_bytes: 160035
        num_examples: 514
      - name: test
        num_bytes: 151809
        num_examples: 457
    download_size: 2805950
    dataset_size: 5672661
  - config_name: bible
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - ur
              - en
    splits:
      - name: train
        num_bytes: 2350730
        num_examples: 7400
      - name: validation
        num_bytes: 113476
        num_examples: 300
      - name: test
        num_bytes: 104678
        num_examples: 257
    download_size: 3683565
    dataset_size: 2568884
  - config_name: quran
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - ur
              - en
    splits:
      - name: train
        num_bytes: 2929711
        num_examples: 6000
      - name: validation
        num_bytes: 43499
        num_examples: 214
      - name: test
        num_bytes: 44413
        num_examples: 200
    download_size: 3683565
    dataset_size: 3017623
configs:
  - config_name: all
    data_files:
      - split: train
        path: all/train-*
      - split: validation
        path: all/validation-*
      - split: test
        path: all/test-*
    default: true

Dataset Card for UMC005 English-Urdu

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

• Homepage: http://ufal.ms.mff.cuni.cz/umc/005-en-ur/
• Repository: None
• Paper: https://www.researchgate.net/publication/268008206_Word-Order_Issues_in_English-to-Urdu_Statistical_Machine_Translation
• Leaderboard: If the dataset supports an active leaderboard, add link here
• Point of Contact: Bushra Jawaid and Daniel Zeman

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

[More Information Needed]

Data Splits

[More Information Needed]

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

[More Information Needed]

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 @abhishekkrthakur for adding this dataset.