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Upload riscbac.py
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riscbac.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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"""RISCBAC: a synthetic bilingual automotive insurance contract dataset"""
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import csv
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import json
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import os
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import datasets
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_CITATION = """\
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@misc{beaucheminrisc,
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title={{RISC: Generating Realistic Synthetic Bilingual Insurance
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Contract}},
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author={David Beauchemin and Richard Khoury},
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year={2023},
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eprint={2304.04212},
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archivePrefix={arXiv}
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}
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"""
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# You can copy an official description
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_DESCRIPTION = """\
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RISCBAC was created using [RISC](https://github.com/GRAAL-Research/risc), an open-source Python package data
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generator. RISC generates look-alike automobile insurance contracts based on the Quebec regulatory insurance
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form in French and English.
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It contains 10,000 English and French insurance contracts generated using the same seed. Thus, contracts share
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the same deterministic synthetic data (RISCBAC can be used as an aligned dataset). RISC can be used to generate
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more data for RISCBAC.
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"""
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_HOMEPAGE = "https://huggingface.co/datasets/davebulaval/RISCBAC"
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_LICENSE = "Attribution 4.0 International (CC BY 4.0)"
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_URLS = {
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"en": "https://huggingface.co/datasets/davebulaval/RISCBAC/blob/main/en.zip",
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"fr": "https://huggingface.co/datasets/davebulaval/RISCBAC/blob/main/fr.zip",
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}
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class RISCBAC(datasets.GeneratorBasedBuilder):
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"""RISCBAC: a synthetic bilingual automotive insurance contract dataset"""
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VERSION = datasets.Version("1.1.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="en", version=VERSION, description="This part of the dataset are automobile contract in English."
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),
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datasets.BuilderConfig(
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name="fr", version=VERSION, description="This part of the dataset are automobile contract in French."
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),
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]
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def _info(self):
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features = datasets.Features(
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{
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"text": 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,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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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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data_dir = dl_manager.download_and_extract(urls)
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if self.config.name == "en":
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"files_dir_path": os.path.join(data_dir, "en"),
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"split": "full",
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},
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)
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]
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else:
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"files_dir_path": os.path.join(data_dir, "fr"),
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"split": "full",
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},
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),
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]
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def _generate_examples(self, files_dir_path, split):
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files = os.listdir(files_dir_path)
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for key, file in enumerate(files):
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with open(file, "r") as f:
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yield key, {"text": f.readlines()}
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