File size: 4,156 Bytes
d5ebf35 2f7e8f2 d5ebf35 0ebad4c d5ebf35 4d86c63 d5ebf35 e95cff6 d5ebf35 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 |
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json
import lzma
import os
import datasets
try:
import lzma as xz
except ImportError:
import pylzma as xz
# TODO: Add BibTeX citation
# Find for instance the citation on arxiv or on the dataset repo/website
_CITATION = """\
@InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
}
"""
# You can copy an official description
_DESCRIPTION = """\
This dataset contains Swiss law articles
"""
_URLS = {
"full": "https://huggingface.co/datasets/rcds/swiss_legislation/resolve/main",
}
class SwissLegilation(datasets.GeneratorBasedBuilder):
"""This dataset contains court decision for doc2doc information retrieval task."""
BUILDER_CONFIGS = [
datasets.BuilderConfig(name="full", description="This part covers the whole dataset"),
]
DEFAULT_CONFIG_NAME = "full" # It's not mandatory to have a default configuration. Just use one if it make sense.
def _info(self):
if self.config.name == "full":
features = datasets.Features(
{
"canton": datasets.Value("string"),
"language": datasets.Value("string"),
"uuid": datasets.Value("string"),
"title": datasets.Value("string"),
"short": datasets.Value("string"),
"abbreviation": datasets.Value("string"),
"sr_number": datasets.Value("string"),
"pdf_content": datasets.Value("string")
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features, # Here we define them above because they are different between the two configurations
)
def _split_generators(self, dl_manager):
urls = _URLS[self.config.name]
filepath = dl_manager.download(os.path.join(urls, "lexfind_v2.jsonl.xz"))
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
# These kwargs will be passed to _generate_examples
gen_kwargs={
"filepath": filepath,
"split": "train",
},
)
]
# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
def _generate_examples(self, filepath, split):
# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
line_counter = 0
try:
with xz.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
for id, line in enumerate(f):
line_counter += 1
if line:
data = json.loads(line)
if self.config.name == "full":
yield id, {
"canton": data["canton"],
"language": data["language"],
"uuid": data["uuid"],
"short": data["short"],
"title": data["title"],
"abbreviation": data["abbreviation"],
"sr_number": data["sr_number"],
"pdf_content": data["pdf_content"],
}
except lzma.LZMAError as e:
print(split, e)
if line_counter == 0:
raise e |