joelniklaus commited on
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1 Parent(s): f885dee

added first version of the Multi_Legal_Pile

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.gitattributes CHANGED
@@ -49,3 +49,26 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.jpg filter=lfs diff=lfs merge=lfs -text
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  *.jpeg filter=lfs diff=lfs merge=lfs -text
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  *.webp filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  *.jpg filter=lfs diff=lfs merge=lfs -text
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  *.jpeg filter=lfs diff=lfs merge=lfs -text
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  *.webp filter=lfs diff=lfs merge=lfs -text
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+ data/da/legislation/denmark_ddsc.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/fr/caselaw/belgium_jurportal.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/fr/caselaw/france_cass.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/fr/legislation/belgium_ejustice.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/fr/legislation/switzerland_lexfind.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/hu/caselaw/hungary_marcell.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/bg/legislation/bulgaria_marcell.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/cs/caselaw/czechia_supreme_court.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/nl/legislation/belgium_ejustice.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/ro/legislation/romania_marcell.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/de/legislation/switzerland_lexfind.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/fr/caselaw/luxembourg_judoc.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/de/legislation/germany_openlegaldata.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/en/legislation/switzerland_lexfind.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/it/legislation/switzerland_lexfind.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/pl/legislation/poland_marcell.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/sk/legislation/slovakia_marcell.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/da/caselaw/denmark_ddsc.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/de/caselaw/germany_openlegaldata.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/pt/caselaw/brazil_rulingbr.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/sl/legislation/slovenia_marcell.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/cs/caselaw/czechia_constitutional_court.jsonl.xz filter=lfs diff=lfs merge=lfs -text
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+ data/cs/caselaw/czechia_supreme_administrative_court.jsonl.xz filter=lfs diff=lfs merge=lfs -text
Multi_Legal_Pile.py ADDED
@@ -0,0 +1,396 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Multi Legal Pile"""
2
+
3
+ import json
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+
5
+ import datasets
6
+ from huggingface_hub.file_download import hf_hub_url
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+
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
+ """
18
+
19
+ _CITATION = """
20
+ """
21
+
22
+ _URL = "https://huggingface.co/datasets/joelito/Multi_Legal_Pile"
23
+
24
+ # Specific Data
25
+ _DATA_NAME = {
26
+ "bg": {
27
+ "legislation": ["bulgaria_marcell"],
28
+ },
29
+ "cs": {
30
+ "caselaw": ["czechia_constitutional_court", "czechia_supreme_administrative_court", "czechia_supreme_court"],
31
+ },
32
+ "da": {
33
+ "caselaw": ["denmark_ddsc"],
34
+ "legislation": ["denmark_ddsc"],
35
+ },
36
+ "de": {
37
+ "caselaw": ["germany_openlegaldata"],
38
+ "legislation": ["germany_openlegaldata", "switzerland_lexfind"],
39
+ },
40
+ "en": {
41
+ "legislation": ["switzerland_lexfind"],
42
+ },
43
+ "fr": {
44
+ "caselaw": ["belgium_jurportal", "france_cass", "luxembourg_judoc"],
45
+ "legislation": ["belgium_ejustice", "switzerland_lexfind"],
46
+ },
47
+ "hu": {
48
+ "caselaw": ["hungary_marcell"],
49
+ },
50
+ "it": {
51
+ "legislation": ["switzerland_lexfind"],
52
+ },
53
+ "nl": {
54
+ "legislation": ["belgium_ejustice"],
55
+ },
56
+ "pl": {
57
+ "legislation": ["poland_marcell"],
58
+ },
59
+ "pt": {
60
+ "caselaw": ["barzil_ruling_br"],
61
+ },
62
+ "ro": {
63
+ "legislation": ["romania_marcell"],
64
+ },
65
+ "sk": {
66
+ "legislation": ["slovakia_marcell"],
67
+ },
68
+ "sl": {
69
+ "legislation": ["slovenia_marcell"],
70
+ },
71
+ }
72
+
73
+ _PILE_OF_LAW_NAMES = {
74
+ "caselaw": {
75
+ "courtlistener_docket_entry_documents": {
76
+ "train": [
77
+ "train.courtlistenerdocketentries.0",
78
+ "train.courtlistenerdocketentries.1",
79
+ "train.courtlistenerdocketentries.2",
80
+ "train.courtlistenerdocketentries.3"
81
+ ],
82
+ "validation": [
83
+ "validation.courtlistenerdocketentries.0",
84
+ "validation.courtlistenerdocketentries.1"
85
+ ]
86
+ },
87
+ "courtlistener_opinions": {
88
+ "train": [
89
+ "train.courtlisteneropinions.0",
90
+ "train.courtlisteneropinions.1",
91
+ "train.courtlisteneropinions.2",
92
+ "train.courtlisteneropinions.3",
93
+ "train.courtlisteneropinions.4",
94
+ "train.courtlisteneropinions.5",
95
+ "train.courtlisteneropinions.6",
96
+ "train.courtlisteneropinions.7",
97
+ "train.courtlisteneropinions.8",
98
+ "train.courtlisteneropinions.9",
99
+ ],
100
+ "validation": [
101
+ "validation.courtlisteneropinions.0",
102
+ "validation.courtlisteneropinions.1",
103
+ "validation.courtlisteneropinions.2",
104
+ "validation.courtlisteneropinions.3"
105
+ ]
106
+ },
107
+ "ftc_advisory_opinions": {
108
+ "train": ["train.ftc_advisory_opinions"],
109
+ "validation": ["validation.ftc_advisory_opinions"]
110
+ },
111
+ "eoir": {
112
+ "train": ["train.eoir"],
113
+ "validation": ["validation.eoir"]
114
+ },
115
+ "bva_opinions": {
116
+ "train": ["train.bva"],
117
+ "validation": ["validation.bva"]
118
+ },
119
+ "tax_rulings": {
120
+ "train": ["train.taxrulings"],
121
+ "validation": ["validation.taxrulings"]
122
+ },
123
+ "scotus_filings": {
124
+ "train": ["train.scotus_docket_entries"],
125
+ "validation": ["validation.scotus_docket_entries"]
126
+ },
127
+ "nlrb_decisions": {
128
+ "train": ["train.nlrb_decisions"],
129
+ "validation": ["validation.nlrb_decisions"]
130
+ },
131
+ "dol_ecab": {
132
+ "train": ["train.dol_ecab"],
133
+ "validation": ["validation.dol_ecab"]
134
+ },
135
+ "echr": {
136
+ "train": ["train.echr"],
137
+ "validation": ["validation.echr"]
138
+ },
139
+ "canadian_decisions": {
140
+ "train": ["train.canadian_decisions"],
141
+ "validation": ["validation.canadian_decisions"]
142
+ },
143
+ },
144
+ "contracts": {
145
+ "atticus_contracts": {
146
+ "train": [
147
+ "train.atticus_contracts.0",
148
+ "train.atticus_contracts.1",
149
+ "train.atticus_contracts.2",
150
+ "train.atticus_contracts.3",
151
+ "train.atticus_contracts.4"
152
+ ],
153
+ "validation": [
154
+ "validation.atticus_contracts.0",
155
+ "validation.atticus_contracts.1"
156
+ ]
157
+ },
158
+ "edgar": {
159
+ "train": ["train.edgar"],
160
+ "validation": ["validation.edgar"]
161
+ },
162
+ "cfpb_creditcard_contracts": {
163
+ "train": ["train.cfpb_cc"],
164
+ "validation": ["validation.cfpb_cc"]
165
+ },
166
+ "tos": {
167
+ "train": ["train.tos"],
168
+ "validation": ["validation.tos"]
169
+ },
170
+ },
171
+ "legislation": {
172
+ "state_codes": {
173
+ "train": ["train.state_code"],
174
+ "validation": ["validation.state_code"]
175
+ },
176
+ "federal_register": {
177
+ "train": ["train.federal_register"],
178
+ "validation": ["validation.federal_register"]
179
+ },
180
+ "us_bills": {
181
+ "train": ["train.us_bills"],
182
+ "validation": ["validation.us_bills"]
183
+ },
184
+ "uscode": {
185
+ "train": ["train.uscode"],
186
+ "validation": ["validation.uscode"]
187
+ },
188
+ "founding_docs": {
189
+ "train": ["train.founding_docs"],
190
+ "validation": ["validation.founding_docs"]
191
+ },
192
+ "constitutions": {
193
+ "train": ["train.constitutions"],
194
+ "validation": ["validation.constitutions"]
195
+ },
196
+ "cfr": {
197
+ "train": ["train.cfr"],
198
+ "validation": ["validation.cfr"]
199
+ },
200
+ "fre": {
201
+ "train": ["train.fre"],
202
+ "validation": ["validation.fre"]
203
+ },
204
+ "frcp": {
205
+ "train": ["train.frcp"],
206
+ "validation": ["validation.frcp"]
207
+ },
208
+ },
209
+ "analyses": {
210
+ "oig": {
211
+ "train": ["train.oig"],
212
+ "validation": ["validation.oig"]
213
+ },
214
+ "olc_memos": {
215
+ "train": ["train.olcmemos"],
216
+ "validation": ["validation.olcmemos"]
217
+ },
218
+ },
219
+ "conversations": {
220
+ "r_legaladvice": {
221
+ "train": ["train.r_legaldvice"],
222
+ "validation": ["validation.r_legaldvice"]
223
+ },
224
+ "euro_parl": {
225
+ "train": ["train.euro_parl"],
226
+ "validation": ["validation.euro_parl"]
227
+ },
228
+ "un_debates": {
229
+ "train": ["train.undebates"],
230
+ "validation": ["validation.undebates"]
231
+ },
232
+ "congressional_hearings": {
233
+ "train": ["train.congressional_hearings"],
234
+ "validation": ["validation.congressional_hearings"]
235
+ },
236
+ "scotus_oral_arguments": {
237
+ "train": ["train.scotus_oral"],
238
+ "validation": ["validation.scotus_oral"]
239
+ },
240
+ },
241
+ "study_materials": {
242
+ "bar_exam_outlines": {
243
+ "train": [
244
+ "train.stanfordbarexamoutlines",
245
+ "train.shajnfeldbarexamoutlines",
246
+ ],
247
+ "validation": [
248
+ "validation.stanfordbarexamoutlines",
249
+ "validation.shajnfeldbarexamoutlines",
250
+ ]
251
+ },
252
+ "cc_casebooks": {
253
+ "train": ["train.cc_casebooks"],
254
+ "validation": ["validation.cc_casebooks"]
255
+ },
256
+ },
257
+ }
258
+
259
+ _LANGUAGES = ["bg", "cs", "da", "de", "el", "en", "es", "et", "fi", "fr", "ga",
260
+ "hr", "hu", "it", "lt", "lv", "mt", "nl", "pl", "pt", "ro", "sk", "sl", "sv"]
261
+
262
+ # the pile-of-law additionally contains "conversations", "analyses", "study_materials"
263
+ # TODO maybe include those additional types as well: https://arxiv.org/pdf/2207.00220.pdf appendix E
264
+ _TYPES = ["caselaw", "contracts", "legislation", "other"]
265
+
266
+ _JURISDICTONS = ["Austria", "Belgium", "Bulgaria", "Croatia", "Czechia", "Denmark", "Estonia", "Finland",
267
+ "France", "Germany", "Greece", "Hungary", "Ireland", "Italy", "Latvia", "Lithuania", "Luxembourg",
268
+ "Malta", "Netherlands", "Poland", "Portugal", "Romania", "Slovakia", "Slovenia", "Spain", "Sweden",
269
+ "EU", "Switzerland", "UK", "US", "Canada", "N/A"]
270
+
271
+
272
+ class MultiLegalPileConfig(datasets.BuilderConfig):
273
+ """BuilderConfig for MultiLegalPile."""
274
+
275
+ def __init__(self, name: str, **kwargs):
276
+ """BuilderConfig for MultiLegalPile.
277
+ Args:
278
+ name: combination of language and type with _
279
+ language: One of bg,cs,da,de,el,en,es,et,fi,fr,ga,hr,hu,it,lt,lv,mt,nl,pl,pt,ro,sk,sl,sv or all
280
+ type: One of caselaw,contracts,legislation,other or all
281
+ **kwargs: keyword arguments forwarded to super.
282
+ """
283
+ super(MultiLegalPileConfig, self).__init__(**kwargs)
284
+ self.name = name
285
+ self.language = name.split("_")[0]
286
+ self.type = name.split("_")[1]
287
+
288
+
289
+ class MultiLegalPile(datasets.GeneratorBasedBuilder):
290
+ """MultiLegalPile: A Corpus Covering Large-Scale Multilingual Legal Data"""
291
+
292
+ BUILDER_CONFIGS = [MultiLegalPileConfig(f"{language}_{type}")
293
+ for type in _TYPES + ["all"]
294
+ for language in _LANGUAGES + ["all"]]
295
+
296
+ def _info(self):
297
+ return datasets.DatasetInfo(
298
+ description=_DESCRIPTION,
299
+ features=datasets.Features(
300
+ {
301
+ "language": datasets.Value("string"), # one of _LANGUAGES
302
+ "type": datasets.Value("string"), # one of _TYPES
303
+ "jurisdiction": datasets.Value("string"), # one of _JURISDICTONS
304
+ "text": datasets.Value("string"),
305
+ }
306
+ ),
307
+ supervised_keys=None,
308
+ homepage=_URL,
309
+ citation=_CITATION,
310
+ )
311
+
312
+ def _split_generators(self, dl_manager):
313
+ def download_url(dataset, file_name):
314
+ url = hf_hub_url(repo_id=dataset, filename=f"data/{file_name}.jsonl.xz", repo_type="dataset")
315
+ return dl_manager.download(url)
316
+
317
+ data_infos = []
318
+ languages = _LANGUAGES if self.config.language == "all" else [self.config.language]
319
+ types = _TYPES if self.config.type == "all" else [self.config.type]
320
+
321
+ for language in languages:
322
+ for type in types:
323
+ info = {"language": language, "type": type}
324
+ # add native MultiLegalPile data
325
+ if language in _DATA_NAME and type in _DATA_NAME[language]: # if we actually have something there
326
+ for data_name in _DATA_NAME[language][type]:
327
+ info["filepath"] = download_url("Multi_Legal_Pile", data_name)
328
+ data_infos.append(info.copy())
329
+
330
+ # add eurlex_resources data
331
+ info["jurisdiction"] = "EU"
332
+ if type == 'caselaw':
333
+ info["filepath"] = download_url("joelito/eurlex_resources", f"{language}/caselaw")
334
+ data_infos.append(info.copy())
335
+ elif type == 'legislation':
336
+ for resource_type in ["decision", "directive", "regulation", "recommendation", "proposal"]:
337
+ info["filepath"] = download_url("joelito/eurlex_resources", f"{language}/{resource_type}")
338
+ data_infos.append(info.copy())
339
+ elif type == 'contracts':
340
+ # international agreements
341
+ info["filepath"] = download_url("joelito/eurlex_resources", f"{language}/intagr")
342
+ data_infos.append(info.copy())
343
+
344
+ # add mc4_legal data
345
+ if type == 'other':
346
+ info["jurisdiction"] = "N/A"
347
+ if language in ["de", "en", "es"]: # here we need to chunk because the files are too large
348
+ for idx in [0, 1]:
349
+ info["filepath"] = download_url("joelito/mc4_legal", f"{language}_{idx}")
350
+ data_infos.append(info.copy())
351
+ elif language in ["hr"]:
352
+ pass # nothing there for Croatian
353
+ else:
354
+ info["filepath"] = download_url("joelito/mc4_legal", f"{language}")
355
+ data_infos.append(info.copy())
356
+
357
+ # add pile-of-law data
358
+ if language == 'en':
359
+ info["jurisdiction"] = "US"
360
+ for name, train_val_files in _PILE_OF_LAW_NAMES[type].items():
361
+ if name == 'canadian_decisions':
362
+ info["jurisdiction"] = "Canada"
363
+ elif name in ['echr', 'euro_parl']:
364
+ info["jurisdiction"] = "EU"
365
+ elif name in ['un_debates', 'constitutions',
366
+ # these are maybe also mostly from the US
367
+ 'r_legaladvice', 'cc_casebooks', 'bar_exam_outlines']:
368
+ info["jurisdiction"] = "N/A"
369
+ for split in ["train", "val"]:
370
+ for file_name in train_val_files[split]:
371
+ info["filepath"] = download_url("pile-of-law/pile-of-law", file_name)
372
+ data_infos.append(info.copy())
373
+
374
+ return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"data_infos": data_infos})]
375
+
376
+ def _generate_examples(self, data_infos):
377
+ """This function returns the examples in the raw (text) form by iterating on all the files."""
378
+ id_ = 0
379
+ for data_info in data_infos:
380
+ logger.info("Generating examples from = %s", data_info["filepath"])
381
+ try:
382
+ with xz.open(open(data_info["filepath"], "rb"), "rt", encoding="utf-8") as f:
383
+ for line in f:
384
+ if line:
385
+ example = json.loads(line)
386
+ if example is not None and isinstance(example, dict):
387
+ yield id_, {
388
+ # uses the default values for language, type and jurisdiction if it is not set
389
+ "language": example.get("language", data_info["language"]),
390
+ "type": example.get("type", data_info["type"]),
391
+ "jurisdiction": example.get("jurisdiction", data_info["jurisdiction"]),
392
+ "text": example.get("text", ""),
393
+ }
394
+ id_ += 1
395
+ except:
396
+ print("Error reading file:", data_info["filepath"])
README.md ADDED
@@ -0,0 +1,194 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ - hr
19
+ - hu
20
+ - it
21
+ - lt
22
+ - lv
23
+ - mt
24
+ - nl
25
+ - pl
26
+ - pt
27
+ - ro
28
+ - sk
29
+ - sl
30
+ - sv
31
+ license:
32
+ - cc-by-4.0
33
+ multilinguality:
34
+ - multilingual
35
+ paperswithcode_id: null
36
+ pretty_name: "MultiLegalPile: A Large-Scale Multilingual Corpus for the Legal Domain"
37
+ size_categories:
38
+ - 10M<n<100M
39
+ source_datasets:
40
+ - original
41
+ task_categories:
42
+ - fill-mask
43
+
44
+ ---
45
+
46
+ # Dataset Card for MultiLegalPile: A Large-Scale Multilingual Corpus for the Legal Domain
47
+
48
+ ## Table of Contents
49
+
50
+ - [Table of Contents](#table-of-contents)
51
+ - [Dataset Description](#dataset-description)
52
+ - [Dataset Summary](#dataset-summary)
53
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
54
+ - [Languages](#languages)
55
+ - [Dataset Structure](#dataset-structure)
56
+ - [Data Instances](#data-instances)
57
+ - [Data Fields](#data-fields)
58
+ - [Data Splits](#data-splits)
59
+ - [Dataset Creation](#dataset-creation)
60
+ - [Curation Rationale](#curation-rationale)
61
+ - [Source Data](#source-data)
62
+ - [Annotations](#annotations)
63
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
64
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
65
+ - [Social Impact of Dataset](#social-impact-of-dataset)
66
+ - [Discussion of Biases](#discussion-of-biases)
67
+ - [Other Known Limitations](#other-known-limitations)
68
+ - [Additional Information](#additional-information)
69
+ - [Dataset Curators](#dataset-curators)
70
+ - [Licensing Information](#licensing-information)
71
+ - [Citation Information](#citation-information)
72
+ - [Contributions](#contributions)
73
+
74
+ ## Dataset Description
75
+
76
+ - **Homepage:**
77
+ - **Repository:**
78
+ - **Paper:**
79
+ - **Leaderboard:**
80
+ - **Point of Contact:** [Joel Niklaus](mailto:joel.niklaus.2@bfh.ch)
81
+
82
+ ### Dataset Summary
83
+
84
+
85
+ ### Supported Tasks and Leaderboards
86
+
87
+ The dataset supports the tasks of fill-mask.
88
+
89
+
90
+
91
+ ### Languages
92
+
93
+ The following languages are supported: bg, cs, da, de, el, en, es, et, fi, fr, ga, hr, hu, it, lt, lv, mt, nl, pl, pt, ro, sk, sl, sv
94
+
95
+ ## Dataset Structure
96
+
97
+ It is structured in the following format:
98
+ text_type -> language -> jurisdiction.jsonl.xz
99
+
100
+ text_type is one of the following:
101
+ - analyses
102
+ - caselaw
103
+ - contracts
104
+ - conversations
105
+ - legislation
106
+ - other
107
+
108
+ ### Data Instances
109
+
110
+ The file format is jsonl.xz and there is one split available ("train").
111
+
112
+
113
+ # TODO fill this in
114
+
115
+ | Source | Type | Size | Words | Documents | Words/Document | URL | License |
116
+ |---------:|--------------|-----:|-------:|----------:|---------------:|----------------------------------------------------|------------------------------------------------:|
117
+ | MARCELL | Legislation | xxx | xxx | xxx | xxx | [NCC](https://huggingface.co/datasets/NbAiLab/NCC) | [NLOD 2.0](https://data.norge.no/nlod/en/2.0/) |
118
+ | CASS | | xxx | xxx | xxx | xxx | | |
119
+
120
+
121
+
122
+
123
+ ### Data Fields
124
+
125
+ [More Information Needed]
126
+
127
+ ### Data Splits
128
+
129
+ [More Information Needed]
130
+
131
+ ## Dataset Creation
132
+
133
+ ### Curation Rationale
134
+
135
+ [More Information Needed]
136
+
137
+ ### Source Data
138
+
139
+ #### Initial Data Collection and Normalization
140
+
141
+ [More Information Needed]
142
+
143
+ #### Who are the source language producers?
144
+
145
+ [More Information Needed]
146
+
147
+
148
+ ### Annotations
149
+
150
+ #### Annotation process
151
+
152
+ [More Information Needed]
153
+
154
+ #### Who are the annotators?
155
+
156
+ [More Information Needed]
157
+
158
+ ### Personal and Sensitive Information
159
+
160
+ [More Information Needed]
161
+
162
+ ## Considerations for Using the Data
163
+
164
+ ### Social Impact of Dataset
165
+
166
+ [More Information Needed]
167
+
168
+ ### Discussion of Biases
169
+
170
+ [More Information Needed]
171
+
172
+ ### Other Known Limitations
173
+
174
+ [More Information Needed]
175
+
176
+ ## Additional Information
177
+
178
+ ### Dataset Curators
179
+
180
+ [More Information Needed]
181
+
182
+ ### Licensing Information
183
+
184
+ [More Information Needed]
185
+
186
+ ### Citation Information
187
+
188
+ ```
189
+ TODO add citation
190
+ ```
191
+
192
+ ### Contributions
193
+
194
+ Thanks to [@JoelNiklaus](https://github.com/joelniklaus) for adding this dataset.
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