README.md

metadata

annotations_creators:
  - expert-generated
  - found
language_creators:
  - found
  - expert-generated
license: []
multilinguality:
  - translation
pretty_name: opus
size_categories: []
source_datasets: []
tags:
  - parallel-corpus
task_categories:
  - translation
task_ids: []

Dataset Card for [opus]

Table of Contents

• 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

Loads OPUS as HuggingFace dataset. OPUS is an open parallel corpus covering 700+ languages and 1100+ datasets.

Given a src and tgt language, this repository can load all available parallel corpus. To my knowledge, other OPUS datasets on Huggingface loads a specific corpus

Requirements. Pip install my fork of OpusTools.

git clone https://github.com/larrylawl/OpusTools.git
pip install -e OpusTools/opustools_pkg

Example Usage.

# args follows `opustools`: https://pypi.org/project/opustools/

src="en"
tgt="id"
download_dir="data"  # dir to save downloaded files
corpus="bible-uedin" # corpus name. Leave as `None` to download all available corpus for the src-tgt pair.


dataset = load_dataset("larrylawl/opus", 
                       src=src, 
                       tgt=tgt,
                       download_dir=download_dir,
                       corpus=corpus)
                       )

Disclaimer.

This repository is still in active development. Do make a PR if there're any issues!

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Languages

Available languages can be viewed on the OPUS API

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

features = {
            "src": datasets.Value("string"),
            "tgt": datasets.Value("string"),
        }

Data Splits

Merged all data into train split.

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 @larrylawl for adding this dataset.