Datasets:
rcds
/

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  1. Multilingual-SBD.py +148 -0
  2. README.md +1095 -0
Multilingual-SBD.py ADDED
@@ -0,0 +1,148 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import datasets
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+ from huggingface_hub.file_download import hf_hub_url
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+ import glob
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+ import json
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+ import pandas as pd
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+
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+ try:
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+ import lzma as xz
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+ except ImportError:
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+ import pylzma as xz
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+ datasets.logging.set_verbosity_info()
12
+ logger = datasets.logging.get_logger(__name__)
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+
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+ _DESCRIPTION ="""\
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+
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+ """
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+
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+ _HOMEPAGE = ""
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+
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+ _LICENSE = ""
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+
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+ _CITATION = ""
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+
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+ _URL = {
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+ 'data/'
26
+ }
27
+ _LANGUAGES = [
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+ "fr","it","es","en","de","pt"
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+ ]
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+
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+ _TYPES = [
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+ "laws", "judgements"
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+ ]
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+
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+ _SOURCES = [
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+ "MultiLegalPile", "Wipolex", "Jug", "BVA", "CC", "IP", "SCOTUS", "SwissJudgementPrediction"
37
+ "Gesetz", "Constitution", "CivilCode", "CriminalCode",
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+ ]
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+
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+
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+ """
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+ see https://huggingface.co/datasets/joelito/MultiLegalPile_Wikipedia_Filtered/blob/main/MultiLegalPile_Wikipedia_Filtered.py
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+ """
44
+ _HIGHEST_NUMBER_OF_SHARDS = 4
45
+ class MultilingualSBDConfig(datasets.BuilderConfig):
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+
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+ def __init__(self, name:str, **kwargs):
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+ super( MultilingualSBDConfig, self).__init__(**kwargs)
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+ self.name = name
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+ self.language = name.split("_")[0]
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+ self.type = name.split("_")[1]
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+ #self.source = name.split("_")[2]
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+
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+ class MultilingualSBD(datasets.GeneratorBasedBuilder):
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+
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+
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+ BUILDER_CONFIG_CLASS = MultilingualSBDConfig
58
+
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+ BUILDER_CONFIGS = [
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+ MultilingualSBDConfig(f"{language}_{type}")
61
+ for language in _LANGUAGES + ['all']
62
+ for type in _TYPES + ["all"]
63
+ ]
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+ DEFAULT_CONFIG_NAME = 'all_all'
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+ def _info(self):
66
+ features = datasets.Features(
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+ {
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+ #"language": datasets.Value("string"), #in _LANGUAGES
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+ #"type": datasets.Value("string"), # in _TYPES
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+ #"subtype": datasets.Value("string"), # in _SUBTYPES
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+ "text": datasets.Value("string"),
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+ "source": datasets.Value("string"),
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+ "spans": datasets.Sequence(
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+ {
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+ "start": datasets.Value("int64"),
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+ "end": datasets.Value("int64"),
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+ "token_start": datasets.Value("int64"),
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+ "token_end": datasets.Value("int64"),
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+ "label": datasets.Value("string")
80
+ }
81
+ ),
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+ "tokens": datasets.Sequence(
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+ {
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+ "text": datasets.Value("string"),
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+ "start": datasets.Value("int64"),
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+ "end": datasets.Value("int64"),
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+ "id": datasets.Value("int64"),
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+ "ws": datasets.Value("bool")
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+
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+ }
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+ )
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+ }
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+ )
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features = features,
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+ homepage = _HOMEPAGE,
98
+ citation=_CITATION
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+ )
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+
101
+ def _split_generators(self, dl_manager):
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+ def download_url(filename):
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+ url = hf_hub_url(
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+ repo_id="tbrugger/Multilingual-SBD",
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+ filename = f'data/{filename}.jsonl.xz',
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+ repo_type='dataset'
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+ )
108
+ return dl_manager.download(url)
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+ languages = _LANGUAGES if self.config.language == "all" else [self.config.language]
110
+ types = _TYPES if self.config.type == 'all' else [self.config.type]
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+ #sources = _SOURCES if self.config.source == 'all' else [self.config.source]
112
+
113
+ split_generators = []
114
+ for split in [datasets.Split.TRAIN]:
115
+ filepaths = []
116
+ for language in languages:
117
+ for type in types:
118
+ for shard in range(_HIGHEST_NUMBER_OF_SHARDS):
119
+ try:
120
+ filepaths.append(download_url(f'{language}_{type}_{shard}'))
121
+ except:
122
+ break
123
+
124
+ split_generators.append(
125
+ datasets.SplitGenerator(name=split, gen_kwargs={'filepaths': filepaths})
126
+ )
127
+
128
+ return split_generators
129
+
130
+ def _generate_examples(self,filepaths):
131
+ id_ = 0
132
+ for filepath in filepaths:
133
+ if filepath:
134
+ logger.info("Generating examples from = %s", filepath)
135
+ try:
136
+ with xz.open(open(filepath,'rb'), 'rt', encoding='utf-8') as f:
137
+ json_list = list(f)
138
+
139
+ for json_str in json_list:
140
+ example = json.loads(json_str)
141
+ if example is not None and isinstance(example, dict):
142
+ yield id_, example
143
+ id_ +=1
144
+
145
+ except Exception:
146
+ logger.exception("Error while processing file %s", filepath)
147
+
148
+
README.md ADDED
@@ -0,0 +1,1095 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ download_size: 0
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+ dataset_size: 8773683
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+ download_size: 5448700
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