Datasets:
Delete swiss_rulings.py
Browse files- swiss_rulings.py +0 -107
swiss_rulings.py
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# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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import lzma
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import os
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import datasets
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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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# TODO: Add BibTeX citation
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# Find for instance the citation on arxiv or on the dataset repo/website
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_CITATION = """Todo create citation"""
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# You can copy an official description
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_DESCRIPTION = """\
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This dataset contains Swiss bge rulings. Leading decisions from the supreme court in Switzerland in German, French and Italian.
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"""
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_URLS = {
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"rulings": "https://huggingface.co/datasets/rcds/swiss_rulings/resolve/main/data",
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}
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class SwissRulings(datasets.GeneratorBasedBuilder):
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"""This dataset contains bge rulings for doc2doc information retrieval task."""
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="rulings", description="This part covers all rulings."),
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]
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DEFAULT_CONFIG_NAME = "rulings" # It's not mandatory to have a default configuration. Just use one if it make sense.
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def _info(self):
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if self.config.name == "rulings":
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features = datasets.Features(
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{
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"decision_id": datasets.Value("string"),
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"language": datasets.Value("string"),
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"year": datasets.Value("float64"),
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"facts": datasets.Value("string"),
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"considerations": datasets.Value("string"),
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"rulings": datasets.Value("string"),
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"chamber": datasets.Value("string"),
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"file_number": datasets.Value("string")
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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, # Here we define them above because they are different between the two configurations
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)
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def _split_generators(self, dl_manager):
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urls = _URLS[self.config.name]
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filepath = dl_manager.download(os.path.join(urls, "rulings.jsonl"))
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": filepath,
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"split": "train",
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},
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)
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]
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# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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def _generate_examples(self, filepath, split):
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# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
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line_counter = 0
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try:
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with xz.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
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for id, line in enumerate(f):
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line_counter += 1
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if line:
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data = json.loads(line)
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if self.config.name == "full":
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yield id, {
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"decision_id": data["decision_id"],
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"language": data["language"],
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"year": data["year"],
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"facts": data["facts"],
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"considerations": data["considerations"],
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"rulings": data["rulings"],
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"chamber": data["chamber"],
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"file_number": data["file_number"],
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}
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except lzma.LZMAError as e:
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print(split, e)
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if line_counter == 0:
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raise e
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