Datasets:
Tasks:
Fill-Mask
Multilinguality:
multilingual
Size Categories:
10M<n<100M
Language Creators:
found
Annotations Creators:
other
Source Datasets:
original
Tags:
License:
annotations_creators: | |
- other | |
language_creators: | |
- found | |
language: | |
- bg | |
- cs | |
- da | |
- de | |
- el | |
- en | |
- es | |
- et | |
- fi | |
- fr | |
- ga | |
- hu | |
- it | |
- lt | |
- lv | |
- mt | |
- nl | |
- pl | |
- pt | |
- ro | |
- sk | |
- sl | |
- sv | |
license: | |
- cc-by-4.0 | |
multilinguality: | |
- multilingual | |
paperswithcode_id: null | |
pretty_name: "MC4_Legal: A Corpus Covering the Legal Part of MC4 for European Languages" | |
size_categories: | |
- 10M<n<100M | |
source_datasets: | |
- original | |
task_categories: | |
- fill-mask | |
# Dataset Card for MC4_Legal: A Corpus Covering the Legal Part of MC4 for European Languages | |
## 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:** [GitHub](https://github.com/JoelNiklaus/LegalDatasets/tree/main/pretrain/mc4_legal) | |
- **Paper:** | |
- **Leaderboard:** | |
- **Point of Contact:** [Joel Niklaus](mailto:joel.niklaus.2@bfh.ch) | |
### Dataset Summary | |
This dataset contains large text resources (~133GB in total) from mc4 filtered for legal data that can be used for pretraining language models. | |
Use the dataset like this: | |
```python | |
from datasets import load_dataset | |
dataset = load_dataset("joelito/mc4_legal", "de", split='train', streaming=True) | |
``` | |
### Supported Tasks and Leaderboards | |
The dataset supports the task of masked language modeling. | |
### Languages | |
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 | |
## Dataset Structure | |
### Data Instances | |
The file format is jsonl.xz and there is one split available ("train"). | |
| Source | Size (MB) | Words | Documents | Words/Document | | |
|:---------|------------:|------------:|------------:|-----------------:| | |
| all | 448980 | 28599300521 | 9873288 | 2896 | | |
| bg | 57 | 2390349 | 379 | 6306 | | |
| cs | 31005 | 1840827375 | 677796 | 2715 | | |
| da | 162 | 10466716 | 3231 | 3239 | | |
| de | 105739 | 6184578784 | 3164461 | 1954 | | |
| el | 30 | 1155977 | 307 | 3765 | | |
| en | 13734 | 966539309 | 359283 | 2690 | | |
| es | 132053 | 9058939804 | 2281888 | 3969 | | |
| et | 2059 | 110198368 | 49987 | 2204 | | |
| fi | 1270 | 62799074 | 44875 | 1399 | | |
| fr | 30878 | 2117306229 | 598983 | 3534 | | |
| ga | 1 | 32772 | 8 | 4096 | | |
| hu | 4677 | 244911748 | 58857 | 4161 | | |
| it | 46957 | 3053920779 | 990823 | 3082 | | |
| lt | 156 | 9142223 | 1529 | 5979 | | |
| lv | 1 | 58702 | 16 | 3668 | | |
| mt | 65 | 3479869 | 731 | 4760 | | |
| nl | 326 | 21962633 | 6875 | 3194 | | |
| pl | 37950 | 2235839721 | 827641 | 2701 | | |
| pt | 20120 | 1338147828 | 382173 | 3501 | | |
| ro | 8816 | 551372510 | 136513 | 4038 | | |
| sk | 5850 | 349265172 | 130701 | 2672 | | |
| sl | 1742 | 107493024 | 32574 | 3299 | | |
| sv | 5332 | 328471555 | 123657 | 2656 | | |
### Data Fields | |
[More Information Needed] | |
### Data Splits | |
[More Information Needed] | |
## Dataset Creation | |
The dataset was created by filtering mc4 for legal data. | |
We used terms indicating legal citations to get the texts. | |
Note that this dataset can be quite noisy, and the quality is not known. | |
### 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 | |
[More Information Needed] | |
### Contributions | |
Thanks to [@JoelNiklaus](https://github.com/joelniklaus) for adding this dataset. | |