Datasets:

joelniklaus
/

lextreme

	---
	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: "LEXTREME: A Multilingual Legal Benchmark for Natural Language Understanding"
	size_categories:
	- 10K<n<100K
	source_datasets:
	- extended
	task_categories:
	- text-classification
	- token-classification
	task_ids:
	- multi-class-classification
	- multi-label-classification
	- topic-classification
	- text-classification-other-judgement-prediction
	- named-entity-recognition
	- named entity recognition and classification (NERC)

	---

	# Dataset Card for LEXTREME: A Multilingual Legal Benchmark for Natural Language Understanding

	## Table of Contents

	- [Table of Contents](#table-of-contents)
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage:
	- Repository:
	- Paper:
	- Leaderboard:
	- Point of Contact: [Joel Niklaus](mailto:joel.niklaus.2@bfh.ch)

	### Dataset Summary

	The dataset consists of 11 diverse multilingual legal NLU datasets. 6 datasets have one single configuration and 5 datasets 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).

	Use the dataset like this:
	```python
	from datasets import load_dataset
	dataset = load_dataset("joelito/lextreme", "swiss_judgment_prediction")
	```

	### Supported Tasks and Leaderboards

	The dataset supports the tasks of text classification and token classification.
	In detail, we support the folliwing tasks and configurations:


	\| task \| task type \| configurations \| link \|
	\|:---------------------------\|--------------------------:\|--------------------------------:\|-------------------------------------------------------------------------------------------------------:\|
	\| Brazilian Court Decisions \| Judgment Prediction \| (judgment, unanimity) \| [joelito/brazilian_court_decisions](https://huggingface.co/datasets/joelito/brazilian_court_decisions) \|
	\| Swiss Judgment Prediction \| Judgment Prediction \| default \| [joelito/swiss_judgment_prediction](https://huggingface.co/datasets/swiss_judgment_prediction) \|
	\| German Argument Mining \| Argument Mining \| default \| [joelito/german_argument_mining](https://huggingface.co/datasets/joelito/german_argument_mining) \|
	\| Greek Legal Code \| Topic Classification \| (volume, chapter, subject) \| [greek_legal_code](https://huggingface.co/datasets/greek_legal_code) \|
	\| Online Terms of Service \| Unfairness Classification \| (unfairness level, claus topic) \| [online_terms_of_service](https://huggingface.co/datasets/joelito/online_terms_of_service) \|
	\| Covid 19 Emergency Event \| Event Classification \| default \| [covid19_emergency_event](https://huggingface.co/datasets/joelito/covid19_emergency_event) \|
	\| MultiEURLEX \| Topic Classification \| (level 1, level 2, level 3) \| [multi_eurlex](https://huggingface.co/datasets/multi_eurlex) \|
	\| LeNER BR \| Named Entity Recognition \| default \| [lener_br](https://huggingface.co/datasets/lener_br) \|
	\| LegalNERo \| Named Entity Recognition \| default \| [legalnero](https://huggingface.co/datasets/joelito/legalnero) \|
	\| Greek Legal NER \| Named Entity Recognition \| default \| [greek_legal_ner](https://huggingface.co/datasets/joelito/greek_legal_ner) \|
	\| MAPA \| Named Entity Recognition \| (coarse, fine) \| [mapa](https://huggingface.co/datasets/joelito/mapa) \|


	### 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 and three data splits are present for each configuration (train, validation and test).

	### 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

	How can I contribute a dataset to lextreme?
	Please follow the following steps:
	1. Make sure your dataset is available on the huggingface hub and has a train, validation and test split.
	2. Create a pull request to the lextreme repository by adding the following to the lextreme.py file:
	- Create a dict _{YOUR_DATASET_NAME} (similar to _BRAZILIAN_COURT_DECISIONS_JUDGMENT) containing all the necessary information about your dataset (task_type, input_col, label_col, etc.)
	- Add your dataset to the BUILDER_CONFIGS list: `LextremeConfig(name="{your_dataset_name}", **_{YOUR_DATASET_NAME})`
	- Test that it works correctly by loading your subset with `load_dataset("lextreme", "{your_dataset_name}")` and inspecting a few examples.

	### Dataset Curators

	[More Information Needed]

	### Licensing Information

	[More Information Needed]

	### Citation Information

	```
	@misc{niklaus2023lextreme,
	title={LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain},
	author={Joel Niklaus and Veton Matoshi and Pooja Rani and Andrea Galassi and Matthias Stürmer and Ilias Chalkidis},
	year={2023},
	eprint={2301.13126},
	archivePrefix={arXiv},
	primaryClass={cs.CL}
	}
	```

	### Contributions

	Thanks to [@JoelNiklaus](https://github.com/joelniklaus) for adding this dataset.