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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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- 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: "MC4_Legal: A Corpus Covering the Legal Part of MC4 for European Languages" |
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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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--- |
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# Dataset Card for MC4_Legal: A Corpus Covering the Legal Part of MC4 for European Languages |
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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:** [GitHub](https://github.com/JoelNiklaus/LegalDatasets/tree/main/pretrain/mc4_legal) |
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- **Paper:** |
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- **Leaderboard:** |
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- **Point of Contact:** [Joel Niklaus](mailto:[email protected]) |
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### Dataset Summary |
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This dataset contains large text resources (~133GB in total) from mc4 filtered for legal data that can be used for pretraining language models. |
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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/mc4_legal", "de", split='train', streaming=True) |
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``` |
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### Supported Tasks and Leaderboards |
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The dataset supports the task of masked language modeling. |
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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, 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.xz and there is one split available ("train"). |
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| Source | Size (MB) | Words | Documents | Words/Document | |
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|:---------|------------:|------------:|------------:|-----------------:| |
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| all | 448980 | 28599300521 | 9873288 | 2896 | |
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| bg | 57 | 2390349 | 379 | 6306 | |
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| cs | 31005 | 1840827375 | 677796 | 2715 | |
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| da | 162 | 10466716 | 3231 | 3239 | |
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| de | 105739 | 6184578784 | 3164461 | 1954 | |
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| el | 30 | 1155977 | 307 | 3765 | |
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| en | 13734 | 966539309 | 359283 | 2690 | |
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| es | 132053 | 9058939804 | 2281888 | 3969 | |
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| et | 2059 | 110198368 | 49987 | 2204 | |
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| fi | 1270 | 62799074 | 44875 | 1399 | |
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| fr | 30878 | 2117306229 | 598983 | 3534 | |
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| ga | 1 | 32772 | 8 | 4096 | |
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| hu | 4677 | 244911748 | 58857 | 4161 | |
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| it | 46957 | 3053920779 | 990823 | 3082 | |
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| lt | 156 | 9142223 | 1529 | 5979 | |
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| lv | 1 | 58702 | 16 | 3668 | |
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| mt | 65 | 3479869 | 731 | 4760 | |
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| nl | 326 | 21962633 | 6875 | 3194 | |
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| pl | 37950 | 2235839721 | 827641 | 2701 | |
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| pt | 20120 | 1338147828 | 382173 | 3501 | |
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| ro | 8816 | 551372510 | 136513 | 4038 | |
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| sk | 5850 | 349265172 | 130701 | 2672 | |
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| sl | 1742 | 107493024 | 32574 | 3299 | |
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| sv | 5332 | 328471555 | 123657 | 2656 | |
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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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The dataset was created by filtering mc4 for legal data. |
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We used terms indicating legal citations to get the texts. |
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Note that this dataset can be quite noisy, and the quality is not known. |
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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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[More Information Needed] |
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### Contributions |
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Thanks to [@JoelNiklaus](https://github.com/joelniklaus) for adding this dataset. |
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