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# coding=utf-8
# 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.
"""The Legal Pile (Preprocessed)"""
import datasets
import json
try:
import lzma as xz
except ImportError:
import pylzma as xz
logger = datasets.logging.get_logger(__name__)
_DESCRIPTION = """The Legal Pile (Preprocessed)"""
_HOMEPAGE = "https://iliaschalkidis.github.io/"
_VERSION = "1.0.0"
class LegalPileConfig(datasets.BuilderConfig):
"""BuilderConfig for Legal Pile Corpora"""
def __init__(self, name, n_files, **kwargs):
super(LegalPileConfig, self).__init__(**kwargs)
self.name = name
self.filepath = f'https://huggingface.co/datasets/lexlms/the_legal_pile_preprocessed/' \
f'resolve/main/data_files/{self.name}.jsonl.tar.xz'
self.n_files = n_files
class LegalPile(datasets.GeneratorBasedBuilder):
"""
The Legal Pile
"""
VERSION = datasets.Version(_VERSION)
BUILDER_CONFIG_CLASS = LegalPileConfig
BUILDER_CONFIGS = [
LegalPileConfig(
name=f"eu-legislation",
n_files=1,
description="EU Legislation",
),
LegalPileConfig(
name=f"eu-court-cases",
n_files=1,
description="EU Court cases",
),
LegalPileConfig(
name=f"ecthr-cases",
n_files=1,
description="ECtHR cases",
),
LegalPileConfig(
name=f"uk-legislation",
n_files=1,
description="UK Legislation",
),
LegalPileConfig(
name=f"uk-court-cases",
n_files=1,
description="UK Court cases",
),
LegalPileConfig(
name=f"indian-court-cases",
n_files=1,
description="Indian Court cases",
),
LegalPileConfig(
name=f"canadian-legislation",
n_files=1,
description="Canadian Legislation",
),
LegalPileConfig(
name=f"canadian-court-cases",
n_files=1,
description="Canadian Legislation",
),
LegalPileConfig(
name=f"us-legislation",
n_files=1,
description="US Legislation",
),
LegalPileConfig(
name=f"us-contracts",
n_files=7,
description="US Contracts",
),
LegalPileConfig(
name=f"us-court-cases",
n_files=16,
description="US Court cases",
)
]
def _info(self):
features = datasets.Features(
{
"text": datasets.Value("string")
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
supervised_keys=None,
homepage=_HOMEPAGE,
)
def _split_generators(self, dl_manager):
train_data_dir = dl_manager.download([self.config.filepath.replace('.jsonl.tar.xz', f'_train_{idx+1}.jsonl.tar.xz')
for idx in range(self.config.n_files)])
# test_data_dir = dl_manager.download([self.config.filepath.replace('.jsonl.xz', 'test.jsonl.xz')])
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"filepaths": train_data_dir, "split": 'train'},
),
# datasets.SplitGenerator(
# name=datasets.Split.TEST,
# gen_kwargs={"filepaths": test_data_dir, "split": 'test'},
# )
]
def _generate_examples(self, filepaths, split):
"""
Reads line by line samples and generates examples.
:param filepath: Path to jsonl files with line by line examples.
"""
id_ = 0
for filepath in filepaths:
logger.info("⏳ Generating examples from = %s", filepath)
with xz.open(open(filepath, "rb"), "rt", encoding='utf-8') as f:
for row in f:
try:
data = json.loads(row)
yield id_, {
"text": data["text"]
}
id_ += 1
except:
continue
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