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README.md
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---
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annotations_creators:
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- other
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language_creators:
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- found
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language:
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- bg
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- cs
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- da
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- de
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- el
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- en
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- es
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- et
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- fi
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- fr
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- ga
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- hr
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- hu
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- it
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- lt
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- lv
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- mt
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- nl
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- pl
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- sv
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license:
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- cc-by-4.0
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multilinguality:
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- multilingual
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paperswithcode_id: null
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pretty_name: "LEXTREME: A Multilingual Legal Benchmark for Natural Language Understanding"
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size_categories:
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- 10K<n<100K
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source_datasets:
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- extended
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task_categories:
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- text-classification
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- token-classification
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task_ids:
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- multi-class-classification
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- multi-label-classification
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- topic-classification
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- text-classification-other-judgement-prediction
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- named-entity-recognition
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- named entity recognition and classification (NERC)
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---
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# Dataset Card for LEXTREME: A Multilingual Legal Benchmark for Natural Language Understanding
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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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- **Homepage:**
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:** [Joel Niklaus](mailto:joel.niklaus.2@bfh.ch)
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### Dataset Summary
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The dataset consists of 11 diverse multilingual legal NLU tasks. 6 tasks have one single configuration and 5 tasks have two or three configurations. This leads to a total of 18 tasks (8 single-label text classification tasks, 5 multi-label text classification tasks and 5 token-classification tasks).
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Use the dataset like this:
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```python
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from datasets import load_dataset
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dataset = load_dataset("joelito/lextreme", "swiss_judgment_prediction")
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```
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### Supported Tasks and Leaderboards
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The dataset supports the tasks of text classification and token classification.
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In detail, we support the folliwing tasks and configurations:
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| task | task type | configurations | link |
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|:---------------------------|--------------------------:|--------------------------------:|-------------------------------------------------------------------------------------------------------:|
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| Brazilian Court Decisions | Judgment Prediction | (judgment, unanimity) | [joelito/brazilian_court_decisions](https://huggingface.co/datasets/joelito/brazilian_court_decisions) |
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| Swiss Judgment Prediction | Judgment Prediction | default | [joelito/swiss_judgment_prediction](https://huggingface.co/datasets/swiss_judgment_prediction) |
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| German Argument Mining | Argument Mining | default | [joelito/german_argument_mining](https://huggingface.co/datasets/joelito/german_argument_mining) |
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| Greek Legal Code | Topic Classification | (volume, chapter, subject) | [greek_legal_code](https://huggingface.co/datasets/greek_legal_code) |
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| Online Terms of Service | Unfairness Classification | (unfairness level, claus topic) | [online_terms_of_service](https://huggingface.co/datasets/joelito/online_terms_of_service) |
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| Covid 19 Emergency Event | Event Classification | default | [covid19_emergency_event](https://huggingface.co/datasets/joelito/covid19_emergency_event) |
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| MultiEURLEX | Topic Classification | (level 1, level 2, level 3) | [multi_eurlex](https://huggingface.co/datasets/multi_eurlex) |
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| LeNER BR | Named Entity Recognition | default | [lener_br](https://huggingface.co/datasets/lener_br) |
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| LegalNERo | Named Entity Recognition | default | [legalnero](https://huggingface.co/datasets/joelito/legalnero) |
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| Greek Legal NER | Named Entity Recognition | default | [greek_legal_ner](https://huggingface.co/datasets/joelito/greek_legal_ner) |
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| MAPA | Named Entity Recognition | (coarse, fine) | [mapa](https://huggingface.co/datasets/joelito/mapa) |
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### Languages
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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
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## Dataset Structure
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### Data Instances
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The file format is jsonl and three data splits are present for each configuration (train, validation and test).
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### Data Fields
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[More Information Needed]
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### Data Splits
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[More Information Needed]
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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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```
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TODO add citation
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```
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### Contributions
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Thanks to [@JoelNiklaus](https://github.com/joelniklaus) for adding this dataset.
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brazilian_court_decisions_judgment/lextreme-test.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd491ab1779b1f2cafa6d25d94629ab0e6730ce4133d430adcf4a3657e066174
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size 194980
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brazilian_court_decisions_judgment/lextreme-train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:84f9998f4f903b13938004c9dd2a7c8e3ad91de322c0e2064ef4e83fa4e8192d
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size 1538647
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brazilian_court_decisions_judgment/lextreme-validation.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:8933b3a40bd1ba8adff07c4f2893e3725defa24d72604dd79cdaf975d8f7b149
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size 201238
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lextreme.py
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