Datasets:

Multilinguality:
translation
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
License:
opus_xhosanavy / README.md
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Align more metadata with other repo types (models,spaces) (#4607)
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metadata
annotations_creators:
  - found
language_creators:
  - found
language:
  - en
  - xh
license:
  - unknown
multilinguality:
  - translation
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - translation
task_ids: []
paperswithcode_id: null
pretty_name: OpusXhosanavy

Dataset Card for [Dataset Name]

Table of Contents

Dataset Description

  • Homepage:XhosaNavy
  • Repository:
  • Paper:
  • Leaderboard:
  • Point of Contact:

Dataset Summary

This corpus is part of OPUS - the open collection of parallel corpora OPUS Website: http://opus.nlpl.eu

Supported Tasks and Leaderboards

The underlying task is machine translation from English to Xhosa

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

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

J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)

Contributions

Thanks to @lhoestq, @spatil6 for adding this dataset.