Commit
•
5fbc120
1
Parent(s):
8664ace
added loading script and dataset card
Browse files- README.md +261 -0
- legal-mc4.py +133 -0
README.md
ADDED
@@ -0,0 +1,261 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
annotations_creators:
|
3 |
+
- other
|
4 |
+
language_creators:
|
5 |
+
- found
|
6 |
+
language:
|
7 |
+
- bg
|
8 |
+
- cs
|
9 |
+
- da
|
10 |
+
- de
|
11 |
+
- el
|
12 |
+
- en
|
13 |
+
- es
|
14 |
+
- et
|
15 |
+
- fi
|
16 |
+
- fr
|
17 |
+
- ga
|
18 |
+
- hu
|
19 |
+
- it
|
20 |
+
- lt
|
21 |
+
- lv
|
22 |
+
- mt
|
23 |
+
- nl
|
24 |
+
- pl
|
25 |
+
- pt
|
26 |
+
- ro
|
27 |
+
- sk
|
28 |
+
- sl
|
29 |
+
- sv
|
30 |
+
license:
|
31 |
+
- cc-by-4.0
|
32 |
+
multilinguality:
|
33 |
+
- multilingual
|
34 |
+
paperswithcode_id: null
|
35 |
+
pretty_name: "MC4_Legal: A Corpus Covering the Legal Part of MC4 for European Languages"
|
36 |
+
size_categories:
|
37 |
+
- 10M<n<100M
|
38 |
+
source_datasets:
|
39 |
+
- original
|
40 |
+
task_categories:
|
41 |
+
- fill-mask
|
42 |
+
|
43 |
+
---
|
44 |
+
|
45 |
+
# Dataset Card for MC4_Legal: A Corpus Covering the Legal Part of MC4 for European Languages
|
46 |
+
|
47 |
+
## Table of Contents
|
48 |
+
|
49 |
+
- [Table of Contents](#table-of-contents)
|
50 |
+
- [Dataset Description](#dataset-description)
|
51 |
+
- [Dataset Summary](#dataset-summary)
|
52 |
+
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
|
53 |
+
- [Languages](#languages)
|
54 |
+
- [Dataset Structure](#dataset-structure)
|
55 |
+
- [Data Instances](#data-instances)
|
56 |
+
- [Data Fields](#data-fields)
|
57 |
+
- [Data Splits](#data-splits)
|
58 |
+
- [Dataset Creation](#dataset-creation)
|
59 |
+
- [Curation Rationale](#curation-rationale)
|
60 |
+
- [Source Data](#source-data)
|
61 |
+
- [Annotations](#annotations)
|
62 |
+
- [Personal and Sensitive Information](#personal-and-sensitive-information)
|
63 |
+
- [Considerations for Using the Data](#considerations-for-using-the-data)
|
64 |
+
- [Social Impact of Dataset](#social-impact-of-dataset)
|
65 |
+
- [Discussion of Biases](#discussion-of-biases)
|
66 |
+
- [Other Known Limitations](#other-known-limitations)
|
67 |
+
- [Additional Information](#additional-information)
|
68 |
+
- [Dataset Curators](#dataset-curators)
|
69 |
+
- [Licensing Information](#licensing-information)
|
70 |
+
- [Citation Information](#citation-information)
|
71 |
+
- [Contributions](#contributions)
|
72 |
+
|
73 |
+
## Dataset Description
|
74 |
+
|
75 |
+
- **Homepage:**
|
76 |
+
- **Repository:** [GitHub](https://github.com/JoelNiklaus/LegalDatasets/tree/main/pretrain/mc4_legal)
|
77 |
+
- **Paper:**
|
78 |
+
- **Leaderboard:**
|
79 |
+
- **Point of Contact:** [Joel Niklaus](mailto:joel@niklaus.ai)
|
80 |
+
|
81 |
+
### Dataset Summary
|
82 |
+
|
83 |
+
This dataset contains large text resources (~106GB in total) from mc4 filtered for legal data that can be used for pretraining language models.
|
84 |
+
|
85 |
+
This dataset uses a different filtering method compared to [mc4_legal](https://huggingface.co/datasets/joelito/mc4_legal) and uses the smaller filtered [c4](https://huggingface.co/datasets/c4) dataset for the English split to speed up the filtering.
|
86 |
+
|
87 |
+
Use the dataset like this:
|
88 |
+
```python
|
89 |
+
from datasets import load_dataset
|
90 |
+
dataset = load_dataset("joelito/mc4_legal", "de", split='train', streaming=True)
|
91 |
+
```
|
92 |
+
|
93 |
+
### Supported Tasks and Leaderboards
|
94 |
+
|
95 |
+
The dataset supports the task of masked language modeling.
|
96 |
+
|
97 |
+
### Languages
|
98 |
+
|
99 |
+
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
|
100 |
+
|
101 |
+
## Dataset Structure
|
102 |
+
|
103 |
+
### Data Instances
|
104 |
+
|
105 |
+
The file format is jsonl.xz and there is a validation and train split available.
|
106 |
+
|
107 |
+
### Data Fields
|
108 |
+
|
109 |
+
[More Information Needed]
|
110 |
+
|
111 |
+
### Data Splits
|
112 |
+
|
113 |
+
#### Data Size
|
114 |
+
|
115 |
+
```bash
|
116 |
+
$ xz --list data/*.xz
|
117 |
+
Strms Blocks Compressed Uncompressed Ratio Check Filename
|
118 |
+
1 1 2,080.7 KiB 33.4 MiB 0.061 CRC64 data/bg.train.0.jsonl.xz
|
119 |
+
1 1 22.8 KiB 315.9 KiB 0.072 CRC64 data/bg.validation.0.jsonl.xz
|
120 |
+
1 1 608.0 MiB 3,881.0 MiB 0.157 CRC64 data/cs.train.0.jsonl.xz
|
121 |
+
1 1 608.0 MiB 3,902.6 MiB 0.156 CRC64 data/cs.train.1.jsonl.xz
|
122 |
+
1 1 256.1 MiB 1,644.5 MiB 0.156 CRC64 data/cs.train.2.jsonl.xz
|
123 |
+
1 1 1,450.6 KiB 8,690.7 KiB 0.167 CRC64 data/cs.validation.0.jsonl.xz
|
124 |
+
1 1 7,578.6 KiB 38.3 MiB 0.193 CRC64 data/da.train.0.jsonl.xz
|
125 |
+
1 1 19.7 KiB 82.3 KiB 0.240 CRC64 data/da.validation.0.jsonl.xz
|
126 |
+
1 1 608.0 MiB 3,026.9 MiB 0.201 CRC64 data/de.train.0.jsonl.xz
|
127 |
+
1 1 608.0 MiB 3,038.7 MiB 0.200 CRC64 data/de.train.1.jsonl.xz
|
128 |
+
1 1 608.0 MiB 3,036.1 MiB 0.200 CRC64 data/de.train.2.jsonl.xz
|
129 |
+
1 1 608.0 MiB 3,040.3 MiB 0.200 CRC64 data/de.train.3.jsonl.xz
|
130 |
+
1 1 608.0 MiB 3,038.6 MiB 0.200 CRC64 data/de.train.4.jsonl.xz
|
131 |
+
1 1 608.0 MiB 3,044.2 MiB 0.200 CRC64 data/de.train.5.jsonl.xz
|
132 |
+
1 1 608.0 MiB 3,043.8 MiB 0.200 CRC64 data/de.train.6.jsonl.xz
|
133 |
+
1 1 608.0 MiB 3,038.2 MiB 0.200 CRC64 data/de.train.7.jsonl.xz
|
134 |
+
1 1 55.1 MiB 274.7 MiB 0.201 CRC64 data/de.train.8.jsonl.xz
|
135 |
+
1 1 5,033.5 KiB 24.5 MiB 0.201 CRC64 data/de.validation.0.jsonl.xz
|
136 |
+
1 1 1,280.9 KiB 17.0 MiB 0.073 CRC64 data/el.train.0.jsonl.xz
|
137 |
+
1 1 5,552 B 15.7 KiB 0.346 CRC64 data/el.validation.0.jsonl.xz
|
138 |
+
1 1 608.0 MiB 2,602.1 MiB 0.234 CRC64 data/en.train.0.jsonl.xz
|
139 |
+
1 1 90.0 MiB 386.5 MiB 0.233 CRC64 data/en.train.1.jsonl.xz
|
140 |
+
1 1 826.6 KiB 3,298.8 KiB 0.251 CRC64 data/en.validation.0.jsonl.xz
|
141 |
+
1 1 608.0 MiB 3,106.5 MiB 0.196 CRC64 data/es.train.0.jsonl.xz
|
142 |
+
1 1 608.0 MiB 3,118.1 MiB 0.195 CRC64 data/es.train.1.jsonl.xz
|
143 |
+
1 1 608.0 MiB 3,113.6 MiB 0.195 CRC64 data/es.train.2.jsonl.xz
|
144 |
+
1 1 608.0 MiB 3,122.5 MiB 0.195 CRC64 data/es.train.3.jsonl.xz
|
145 |
+
1 1 608.0 MiB 3,121.5 MiB 0.195 CRC64 data/es.train.4.jsonl.xz
|
146 |
+
1 1 608.0 MiB 3,122.9 MiB 0.195 CRC64 data/es.train.5.jsonl.xz
|
147 |
+
1 1 608.0 MiB 3,128.4 MiB 0.194 CRC64 data/es.train.6.jsonl.xz
|
148 |
+
1 1 608.0 MiB 3,129.5 MiB 0.194 CRC64 data/es.train.7.jsonl.xz
|
149 |
+
1 1 608.0 MiB 3,132.2 MiB 0.194 CRC64 data/es.train.8.jsonl.xz
|
150 |
+
1 1 528.5 MiB 2,722.5 MiB 0.194 CRC64 data/es.train.9.jsonl.xz
|
151 |
+
1 1 6,159.9 KiB 30.7 MiB 0.196 CRC64 data/es.validation.0.jsonl.xz
|
152 |
+
1 1 93.5 MiB 506.2 MiB 0.185 CRC64 data/et.train.0.jsonl.xz
|
153 |
+
1 1 136.2 KiB 571.3 KiB 0.238 CRC64 data/et.validation.0.jsonl.xz
|
154 |
+
1 1 60.6 MiB 312.6 MiB 0.194 CRC64 data/fi.train.0.jsonl.xz
|
155 |
+
1 1 63.2 KiB 262.4 KiB 0.241 CRC64 data/fi.validation.0.jsonl.xz
|
156 |
+
1 1 608.0 MiB 3,400.7 MiB 0.179 CRC64 data/fr.train.0.jsonl.xz
|
157 |
+
1 1 608.0 MiB 3,405.5 MiB 0.179 CRC64 data/fr.train.1.jsonl.xz
|
158 |
+
1 1 135.9 MiB 763.7 MiB 0.178 CRC64 data/fr.train.2.jsonl.xz
|
159 |
+
1 1 1,414.3 KiB 7,626.1 KiB 0.185 CRC64 data/fr.validation.0.jsonl.xz
|
160 |
+
1 1 31.2 KiB 146.4 KiB 0.213 CRC64 data/ga.train.0.jsonl.xz
|
161 |
+
1 0 32 B 0 B --- CRC64 data/ga.validation.0.jsonl.xz
|
162 |
+
1 1 211.5 MiB 1,407.3 MiB 0.150 CRC64 data/hu.train.0.jsonl.xz
|
163 |
+
1 1 212.9 KiB 1,287.6 KiB 0.165 CRC64 data/hu.validation.0.jsonl.xz
|
164 |
+
1 1 608.0 MiB 2,963.4 MiB 0.205 CRC64 data/it.train.0.jsonl.xz
|
165 |
+
1 1 608.0 MiB 2,970.0 MiB 0.205 CRC64 data/it.train.1.jsonl.xz
|
166 |
+
1 1 608.0 MiB 2,973.7 MiB 0.204 CRC64 data/it.train.2.jsonl.xz
|
167 |
+
1 1 315.2 MiB 1,541.6 MiB 0.204 CRC64 data/it.train.3.jsonl.xz
|
168 |
+
1 1 2,419.3 KiB 11.2 MiB 0.211 CRC64 data/it.validation.0.jsonl.xz
|
169 |
+
1 1 9,966.7 KiB 38.2 MiB 0.255 CRC64 data/lt.train.0.jsonl.xz
|
170 |
+
1 1 17.2 KiB 84.7 KiB 0.203 CRC64 data/lt.validation.0.jsonl.xz
|
171 |
+
1 1 66.4 KiB 326.7 KiB 0.203 CRC64 data/lv.train.0.jsonl.xz
|
172 |
+
1 0 32 B 0 B --- CRC64 data/lv.validation.0.jsonl.xz
|
173 |
+
1 1 2,851.6 KiB 16.7 MiB 0.167 CRC64 data/mt.train.0.jsonl.xz
|
174 |
+
1 1 2,092 B 5,079 B 0.412 CRC64 data/mt.validation.0.jsonl.xz
|
175 |
+
1 1 14.6 MiB 71.6 MiB 0.203 CRC64 data/nl.train.0.jsonl.xz
|
176 |
+
1 1 23.5 KiB 79.2 KiB 0.296 CRC64 data/nl.validation.0.jsonl.xz
|
177 |
+
1 1 608.0 MiB 3,635.5 MiB 0.167 CRC64 data/pl.train.0.jsonl.xz
|
178 |
+
1 1 608.0 MiB 3,646.0 MiB 0.167 CRC64 data/pl.train.1.jsonl.xz
|
179 |
+
1 1 401.9 MiB 2,409.0 MiB 0.167 CRC64 data/pl.train.2.jsonl.xz
|
180 |
+
1 1 1,870.5 KiB 10.5 MiB 0.173 CRC64 data/pl.validation.0.jsonl.xz
|
181 |
+
1 1 608.0 MiB 3,173.1 MiB 0.192 CRC64 data/pt.train.0.jsonl.xz
|
182 |
+
1 1 329.1 MiB 1,721.6 MiB 0.191 CRC64 data/pt.train.1.jsonl.xz
|
183 |
+
1 1 989.0 KiB 4,841.2 KiB 0.204 CRC64 data/pt.validation.0.jsonl.xz
|
184 |
+
1 1 365.2 MiB 2,237.9 MiB 0.163 CRC64 data/ro.train.0.jsonl.xz
|
185 |
+
1 1 419.2 KiB 2,320.4 KiB 0.181 CRC64 data/ro.validation.0.jsonl.xz
|
186 |
+
1 1 266.1 MiB 1,668.1 MiB 0.160 CRC64 data/sk.train.0.jsonl.xz
|
187 |
+
1 1 304.1 KiB 1,618.2 KiB 0.188 CRC64 data/sk.validation.0.jsonl.xz
|
188 |
+
1 1 81.6 MiB 416.1 MiB 0.196 CRC64 data/sl.train.0.jsonl.xz
|
189 |
+
1 1 101.0 KiB 416.6 KiB 0.242 CRC64 data/sl.validation.0.jsonl.xz
|
190 |
+
1 1 252.0 MiB 1,423.2 MiB 0.177 CRC64 data/sv.train.0.jsonl.xz
|
191 |
+
1 1 210.8 KiB 1,091.2 KiB 0.193 CRC64 data/sv.validation.0.jsonl.xz
|
192 |
+
-------------------------------------------------------------------------------
|
193 |
+
74 72 20.0 GiB 106.2 GiB 0.189 CRC64 74 files
|
194 |
+
```
|
195 |
+
|
196 |
+
## Dataset Creation
|
197 |
+
|
198 |
+
The dataset was created by filtering mc4 for legal data.
|
199 |
+
We used terms indicating legal citations to get the texts.
|
200 |
+
Note that this dataset can be quite noisy, and the quality is not known.
|
201 |
+
|
202 |
+
### Curation Rationale
|
203 |
+
|
204 |
+
[More Information Needed]
|
205 |
+
|
206 |
+
### Source Data
|
207 |
+
|
208 |
+
#### Initial Data Collection and Normalization
|
209 |
+
|
210 |
+
[More Information Needed]
|
211 |
+
|
212 |
+
#### Who are the source language producers?
|
213 |
+
|
214 |
+
[More Information Needed]
|
215 |
+
|
216 |
+
|
217 |
+
### Annotations
|
218 |
+
|
219 |
+
#### Annotation process
|
220 |
+
|
221 |
+
[More Information Needed]
|
222 |
+
|
223 |
+
#### Who are the annotators?
|
224 |
+
|
225 |
+
[More Information Needed]
|
226 |
+
|
227 |
+
### Personal and Sensitive Information
|
228 |
+
|
229 |
+
[More Information Needed]
|
230 |
+
|
231 |
+
## Considerations for Using the Data
|
232 |
+
|
233 |
+
### Social Impact of Dataset
|
234 |
+
|
235 |
+
[More Information Needed]
|
236 |
+
|
237 |
+
### Discussion of Biases
|
238 |
+
|
239 |
+
[More Information Needed]
|
240 |
+
|
241 |
+
### Other Known Limitations
|
242 |
+
|
243 |
+
[More Information Needed]
|
244 |
+
|
245 |
+
## Additional Information
|
246 |
+
|
247 |
+
### Dataset Curators
|
248 |
+
|
249 |
+
[More Information Needed]
|
250 |
+
|
251 |
+
### Licensing Information
|
252 |
+
|
253 |
+
[More Information Needed]
|
254 |
+
|
255 |
+
### Citation Information
|
256 |
+
|
257 |
+
[More Information Needed]
|
258 |
+
|
259 |
+
### Contributions
|
260 |
+
|
261 |
+
Thanks to [@JoelNiklaus](https://github.com/joelniklaus) for adding this dataset.
|
legal-mc4.py
ADDED
@@ -0,0 +1,133 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
"""Legal MC4"""
|
2 |
+
import ast
|
3 |
+
import json
|
4 |
+
|
5 |
+
import datasets
|
6 |
+
from huggingface_hub.file_download import hf_hub_url
|
7 |
+
|
8 |
+
try:
|
9 |
+
import lzma as xz
|
10 |
+
except ImportError:
|
11 |
+
import pylzma as xz
|
12 |
+
|
13 |
+
datasets.logging.set_verbosity_info()
|
14 |
+
logger = datasets.logging.get_logger(__name__)
|
15 |
+
|
16 |
+
_DESCRIPTION = """
|
17 |
+
Legal-MC4: A Corpus Covering the Legal Part of MC4 for European Languages
|
18 |
+
"""
|
19 |
+
|
20 |
+
_CITATION = """
|
21 |
+
"""
|
22 |
+
|
23 |
+
_REPO_ID = "joelito/legal-mc4"
|
24 |
+
_URL = f"https://huggingface.co/datasets/{_REPO_ID}"
|
25 |
+
|
26 |
+
_LANGUAGES = {
|
27 |
+
"bg": 0,
|
28 |
+
"cs": 2,
|
29 |
+
"da": 0,
|
30 |
+
"de": 8,
|
31 |
+
"el": 0,
|
32 |
+
"en": 1,
|
33 |
+
"es": 9,
|
34 |
+
"et": 1,
|
35 |
+
"fi": 0,
|
36 |
+
"fr": 2,
|
37 |
+
"ga": 0,
|
38 |
+
# "hr", # hr is not present in mc4
|
39 |
+
"hu": 0,
|
40 |
+
"it": 3,
|
41 |
+
"lt": 0,
|
42 |
+
"lv": 0,
|
43 |
+
"mt": 0,
|
44 |
+
"nl": 0,
|
45 |
+
"pl": 2,
|
46 |
+
"pt": 1,
|
47 |
+
"ro": 0,
|
48 |
+
"sk": 0,
|
49 |
+
"sl": 0,
|
50 |
+
"sv": 0,
|
51 |
+
}
|
52 |
+
_LANGS = list(_LANGUAGES.keys())
|
53 |
+
|
54 |
+
|
55 |
+
class LegalMC4Config(datasets.BuilderConfig):
|
56 |
+
"""BuilderConfig for Legal-MC4."""
|
57 |
+
|
58 |
+
def __init__(self, name: str, **kwargs):
|
59 |
+
"""BuilderConfig for Legal-MC4.
|
60 |
+
Args:
|
61 |
+
name: One of bg,cs,da,de,el,en,es,et,fi,fr,ga,hu,it,lt,lv,mt,nl,pl,pt,ro,sk,sl,sv or all
|
62 |
+
**kwargs: keyword arguments forwarded to super.
|
63 |
+
"""
|
64 |
+
super(LegalMC4Config, self).__init__(**kwargs)
|
65 |
+
self.name = name
|
66 |
+
|
67 |
+
|
68 |
+
class MC4Legal(datasets.GeneratorBasedBuilder):
|
69 |
+
"""Legal-MC4: A Corpus Covering the Legal Part of MC4 for European Languages"""
|
70 |
+
|
71 |
+
BUILDER_CONFIGS = [LegalMC4Config(language) for language in _LANGS + ["all"]]
|
72 |
+
|
73 |
+
def _info(self):
|
74 |
+
return datasets.DatasetInfo(
|
75 |
+
description=_DESCRIPTION,
|
76 |
+
features=datasets.Features(
|
77 |
+
{
|
78 |
+
"index": datasets.Value("int32"),
|
79 |
+
"url": datasets.Value("string"),
|
80 |
+
"timestamp": datasets.Value("timestamp[s]"),
|
81 |
+
"matches": datasets.Sequence(datasets.Value("string")),
|
82 |
+
"text": datasets.Value("string"),
|
83 |
+
}
|
84 |
+
),
|
85 |
+
supervised_keys=None,
|
86 |
+
homepage=_URL,
|
87 |
+
citation=_CITATION,
|
88 |
+
)
|
89 |
+
|
90 |
+
def _split_generators(self, dl_manager):
|
91 |
+
def get_url(file_name):
|
92 |
+
return hf_hub_url(repo_id=_REPO_ID, filename=f"data/{file_name}.jsonl.xz", repo_type="dataset")
|
93 |
+
|
94 |
+
data_urls = []
|
95 |
+
languages = _LANGS if self.config.name == "all" else [self.config.name]
|
96 |
+
split_generators = []
|
97 |
+
for split in [datasets.Split.TRAIN, datasets.Split.VALIDATION]:
|
98 |
+
for language in languages:
|
99 |
+
shards = range(_LANGUAGES[language] + 1) if split == datasets.Split.TRAIN else [0]
|
100 |
+
for shard in shards:
|
101 |
+
data_urls.append(get_url(f"{language}.{str(split)}.{shard}"))
|
102 |
+
|
103 |
+
downloaded_files = dl_manager.download(data_urls)
|
104 |
+
split_generators.append(
|
105 |
+
datasets.SplitGenerator(name=split, gen_kwargs={"filepaths": downloaded_files})
|
106 |
+
)
|
107 |
+
return split_generators
|
108 |
+
|
109 |
+
def _generate_examples(self, filepaths):
|
110 |
+
"""This function returns the examples in the raw (text) form by iterating on all the files."""
|
111 |
+
id_ = 0
|
112 |
+
for filepath in filepaths:
|
113 |
+
logger.info("Generating examples from = %s", filepath)
|
114 |
+
try:
|
115 |
+
with xz.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
|
116 |
+
for line in f:
|
117 |
+
if line:
|
118 |
+
example = json.loads(line)
|
119 |
+
if example is not None and isinstance(example, dict):
|
120 |
+
timestamp = example.get("timestamp", "")
|
121 |
+
# remove the Z at the end (time zone)
|
122 |
+
if isinstance(timestamp, str) and timestamp.endswith("Z"):
|
123 |
+
timestamp = timestamp[:-1]
|
124 |
+
yield id_, {
|
125 |
+
"index": example.get("index", ""),
|
126 |
+
"url": example.get("url", ""),
|
127 |
+
"timestamp": timestamp,
|
128 |
+
"matches": ast.literal_eval(example.get("matches", "")),
|
129 |
+
"text": example.get("text", ""),
|
130 |
+
}
|
131 |
+
id_ += 1
|
132 |
+
except Exception:
|
133 |
+
logger.exception("Error while processing file %s", filepath)
|