eurlex_resources / README.md
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metadata
annotations_creators:
  - other
language_creators:
  - found
language:
  - bg
  - cs
  - da
  - de
  - el
  - en
  - es
  - et
  - fi
  - fr
  - ga
  - hr
  - hu
  - it
  - lt
  - lv
  - mt
  - nl
  - pl
  - pt
  - ro
  - sk
  - sl
  - sv
license:
  - cc-by-4.0
multilinguality:
  - multilingual
paperswithcode_id: null
pretty_name: 'EurlexResources: A Corpus Covering the Largest EURLEX Resources'
size_categories:
  - 10M<n<100M
source_datasets:
  - original
task_categories:
  - fill-mask

Dataset Card for EurlexResources: A Corpus Covering the Largest EURLEX Resources

Table of Contents

Dataset Description

  • Homepage:
  • Repository:
  • Paper:
  • Leaderboard:
  • Point of Contact: Joel Niklaus

Dataset Summary

This dataset contains large text resources from EURLEX that can be used for pretraining language models.

Supported Tasks and Leaderboards

The dataset supports the tasks of masked language modeling.

Languages

The following languages are supported: bg, cs, da, de, el, en, es, et, fi, fr, ga, hr, hu, it, lt, lv, mt, nl, pl, pt, ro, sk, sl, sv

Dataset Structure

Data Instances

The file format is jsonl.xz and there is one split available ("train"). The following resource types are supported: caselaw, decision, directive, intagr, proposal, recommendation, regulation

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

[More Information Needed]

Contributions

Thanks to @JoelNiklaus for adding this dataset.