Datasets:
Tasks:
Text Retrieval
Sub-tasks:
document-retrieval
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
ArXiv:
License:
File size: 6,214 Bytes
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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.
"""EURegIR: Regulatory Compliance IR (EU/UK)"""
import json
import os
import datasets
_CITATION = """\
@inproceedings{chalkidis-etal-2021-regir,
title = "Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations",
author = "Chalkidis, Ilias and Fergadiotis, Emmanouil and Manginas, Nikos and Katakalou, Eva, and Malakasiotis, Prodromos",
booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021)",
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/2101.10726",
}
"""
_DESCRIPTION = """\
EURegIR: Regulatory Compliance IR (EU/UK)
"""
_HOMEPAGE = "https://archive.org/details/eacl2021_regir_dataset"
_LICENSE = "CC BY-SA (Creative Commons / Attribution-ShareAlike)"
_URLs = {
"eu2uk": "https://archive.org/download/eacl2021_regir_datasets/eu2uk.zip",
"uk2eu": "https://archive.org/download/eacl2021_regir_datasets/uk2eu.zip",
}
class EuRegulatoryIr(datasets.GeneratorBasedBuilder):
"""EURegIR: Regulatory Compliance IR (EU/UK)"""
VERSION = datasets.Version("1.1.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(name="eu2uk", version=VERSION, description="EURegIR: Regulatory Compliance IR (EU2UK)"),
datasets.BuilderConfig(name="uk2eu", version=VERSION, description="EURegIR: Regulatory Compliance IR (UK2EU)"),
]
def _info(self):
if self.config.name == "eu2uk":
features = datasets.Features(
{
"document_id": datasets.Value("string"),
"publication_year": datasets.Value("string"),
"text": datasets.Value("string"),
"relevant_documents": datasets.features.Sequence(datasets.Value("string")),
}
)
else:
features = datasets.Features(
{
"document_id": datasets.Value("string"),
"publication_year": datasets.Value("string"),
"text": datasets.Value("string"),
"relevant_documents": datasets.features.Sequence(datasets.Value("string")),
}
)
return datasets.DatasetInfo(
# This is the description that will appear on the datasets page.
description=_DESCRIPTION,
# This defines the different columns of the dataset and their types
features=features, # Here we define them above because they are different between the two configurations
# If there's a common (input, target) tuple from the features,
# specify them here. They'll be used if as_supervised=True in
# builder.as_dataset.
supervised_keys=None,
# Homepage of the dataset for documentation
homepage=_HOMEPAGE,
# License for the dataset if available
license=_LICENSE,
# Citation for the dataset
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
my_urls = _URLs[self.config.name]
data_dir = dl_manager.download_and_extract(my_urls)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
# These kwargs will be passed to _generate_examples
gen_kwargs={
"filepath": os.path.join(data_dir, "train.jsonl"),
"split": "train",
},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
# These kwargs will be passed to _generate_examples
gen_kwargs={"filepath": os.path.join(data_dir, "test.jsonl"), "split": "test"},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
# These kwargs will be passed to _generate_examples
gen_kwargs={
"filepath": os.path.join(data_dir, "dev.jsonl"),
"split": "dev",
},
),
datasets.SplitGenerator(
name=f"{self.config.name.split('2')[1]}_corpus",
# These kwargs will be passed to _generate_examples
gen_kwargs={
"filepath": os.path.join(data_dir, "corpus.jsonl"),
"split": f"{self.config.name.split('2')[1]}_corpus",
},
),
]
def _generate_examples(
self, filepath, split # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
):
"""Yields examples as (key, example) tuples."""
# This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
# The `key` is here for legacy reason (tfds) and is not important in itself.
with open(filepath, encoding="utf-8") as f:
for id_, row in enumerate(f):
data = json.loads(row)
yield id_, {
"document_id": data["document_id"],
"text": data["text"],
"publication_year": data["publication_year"],
"relevant_documents": data["relevant_documents"]
if split != f"{self.config.name.split('2')[1]}_corpus"
else [],
}
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