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README.md

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----
-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 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).
-
-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
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[More Information Needed]
-
-### Citation Information
-
-```
-TODO add citation
-```
-
-### Contributions
-
-Thanks to [@JoelNiklaus](https://github.com/joelniklaus) for adding this dataset.

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