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--- |
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annotations_creators: |
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- expert-generated |
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- found |
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language_creators: |
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- found |
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- expert-generated |
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license: [] |
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multilinguality: |
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- translation |
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pretty_name: opus |
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size_categories: [] |
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source_datasets: [] |
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tags: |
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- parallel-corpus |
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task_categories: |
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- translation |
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task_ids: [] |
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--- |
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# Dataset Card for [opus] |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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**Disclaimer.** Loading of dataset is slow, thus it may not be feasible when loading at scale. I'd suggest to use the other OPUS datasets on Huggingface which loads a specific corpus. |
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Loads [OPUS](https://opus.nlpl.eu/) as HuggingFace dataset. OPUS is an open parallel corpus covering 700+ languages and 1100+ datasets. |
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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 |
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**Requirements**. |
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``` |
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pip install pandas |
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# pip install my fork of `opustools` |
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git clone https://github.com/larrylawl/OpusTools.git |
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pip install -e OpusTools/opustools_pkg |
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``` |
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**Example Usage**. |
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``` |
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# args follows `opustools`: https://pypi.org/project/opustools/ |
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src="en" |
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tgt="id" |
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download_dir="data" # dir to save downloaded files |
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corpus="bible-uedin" # corpus name. Leave as `None` to download all available corpus for the src-tgt pair. |
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dataset = load_dataset("larrylawl/opus", |
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src=src, |
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tgt=tgt, |
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download_dir=download_dir, |
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corpus=corpus) |
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) |
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``` |
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**Disclaimer**. |
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This repository is still in active development. Do make a PR if there're any issues! |
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### Dataset Summary |
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[More Information Needed] |
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### Supported Tasks and Leaderboards |
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[More Information Needed] |
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### Languages |
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Available languages can be viewed on the [OPUS API](https://opus.nlpl.eu/opusapi/?languages=True) |
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## Dataset Structure |
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### Data Instances |
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``` |
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{'src': 'In the beginning God created the heavens and the earth .', |
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'tgt': 'Pada mulanya , waktu Allah mulai menciptakan alam semesta'} |
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``` |
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### Data Fields |
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``` |
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features = { |
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"src": datasets.Value("string"), |
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"tgt": datasets.Value("string"), |
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} |
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``` |
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### Data Splits |
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Merged all data into train split. |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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[More Information Needed] |
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### Contributions |
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Thanks to [@larrylawl](https://larrylawl.github.io/) for adding this dataset. |
