数据集:
joelito/mc4_legal
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:
from datasets import load_dataset dataset = load_dataset("joelito/mc4_legal", "de", split='train', streaming=True)
The dataset supports the task of masked language modeling.
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
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 |
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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.
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Who are the source language producers?[More Information Needed]
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Who are the annotators?[More Information Needed]
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Thanks to @JoelNiklaus for adding this dataset.