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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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- pt |
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- ro |
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- sk |
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- sl |
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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: "MultiLegalPile_Wikipedia_Filtered: A filtered version of the MultiLegalPile dataset, together with wikipedia articles." |
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size_categories: |
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- 10M<n<100M |
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source_datasets: |
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- original |
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task_categories: |
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- fill-mask |
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--- |
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# Dataset Card for MultiLegalPile_Wikipedia_Filtered: A filtered version of the MultiLegalPile dataset, together with wikipedia articles |
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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 Multi_Legal_Pile is a large-scale multilingual legal dataset suited for pretraining language models. |
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It spans over 24 languages and four legal text types. |
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### Supported Tasks and Leaderboards |
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The dataset supports the tasks of fill-mask. |
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### Languages |
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The following languages are supported: |
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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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It is structured in the following format: {language}_{text_type}_{shard}.jsonl.xz |
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text_type is one of the following: |
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- caselaw |
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- contracts |
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- legislation |
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- other |
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- wikipedia |
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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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config = 'en_contracts' # {language}_{text_type} |
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dataset = load_dataset('joelito/Multi_Legal_Pile', config, split='train', streaming=True) |
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``` |
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'config' is a combination of language and text_type, e.g. 'en_contracts' or 'de_caselaw'. |
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To load all the languages or all the text_types, use 'all' instead of the language or text_type (e.g., ' |
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all_legislation'). |
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### Data Instances |
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The file format is jsonl.xz and there is a `train` and `validation` split available. |
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Since some configurations are very small or non-existent, they might not contain a train split or not be present at all. |
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The complete dataset consists of five large subsets: |
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- [Native Multi Legal Pile](https://huggingface.co/datasets/joelito/Multi_Legal_Pile) |
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- [Eurlex Resources](https://huggingface.co/datasets/joelito/eurlex_resources) |
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- [MC4 Legal](https://huggingface.co/datasets/joelito/mc4_legal) |
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- [Pile of Law](https://huggingface.co/datasets/pile-of-law/pile-of-law) |
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- [EU Wikipedias](https://huggingface.co/datasets/joelito/EU_Wikipedias) |
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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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This dataset has been created by combining the following datasets: |
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Native Multi Legal Pile, Eurlex Resources, MC4 Legal, Pile of Law, EU Wikipedias. |
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It has been filtered to remove short documents (less than 64 whitespace-separated tokens) and |
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documents with more than 30% punctuation or numbers (see prepare_legal_data.py for more details). |
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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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