Delete syntec.py
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syntec.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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"""Syntec: 100 questions for information retrieval"""
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import json
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import datasets
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_DESCRIPTION = """\
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This dataset is based on the Syntec collective bargaining agreement. Its purpose is information retrieval.
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"""
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_SPLITS = ["documents", "queries"]
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_HOMEPAGE = "https://huggingface.co/datasets/lyon-nlp/mteb-fr-retrieval-syntec-s2p"
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_LICENSE = "Creative Commons Attribution Non Commercial Share Alike 4.0 International"
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_URLS = {
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split: f"https://huggingface.co/datasets/lyon-nlp/mteb-fr-retrieval-syntec-s2p/resolve/main/{split}.json"\
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for split in _SPLITS
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}
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class Syntec(datasets.GeneratorBasedBuilder):
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"""Syntec: 100 questions for information retrieval"""
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="documents", version=VERSION, description="Corpus of articles from the Syntec collective bargaining agreement"),
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datasets.BuilderConfig(name="queries", version=VERSION, description="Corpus of 100 manually annotated queries"),
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]
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# Avoid setting default config so that an error is raised asking the user
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# to specify the piece of the dataset wanted
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DEFAULT_CONFIG_NAME = "documents"
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def _info(self):
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if self.config.name == "documents":
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features = {
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"section": datasets.Value("string"),
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"id": datasets.Value("string"),
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"title": datasets.Value("string"),
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"content": datasets.Value("string"),
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"url": datasets.Value("string"),
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}
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elif self.config.name == "queries":
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features = {
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"Question": datasets.Value("string"),
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"Article": datasets.Value("string"),
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}
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else:
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raise ValueError(f"Please specify a valid config name : {_SPLITS}")
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(features),
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supervised_keys=None,
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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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if self.config.name == "documents":
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dl_path = dl_manager.download_and_extract(_URLS["documents"])
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return [datasets.SplitGenerator(name="documents", gen_kwargs={"filepath": dl_path})]
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elif self.config.name == "queries":
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dl_paths = dl_manager.download_and_extract(_URLS["queries"])
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return [datasets.SplitGenerator(name="queries", gen_kwargs={"filepath": dl_paths})]
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else:
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raise ValueError(f"Please specify a valid config name : {_SPLITS}")
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def _generate_examples(self, filepath):
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if self.config.name in ["documents", "queries"]:
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with open(filepath, encoding="utf-8") as f:
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data = json.load(f)
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for key, row in enumerate(data):
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if self.config.name == "documents":
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features = {
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"section": row["section"],
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"id": row["id"],
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"title": row["title"],
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"content": row["content"],
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"url": row["url"]
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}
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elif self.config.name == "queries":
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features = {
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"Question": row["Question"],
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"Article": row["Article"],
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}
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else:
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raise ValueError(f"Please specify a valid config name : {_SPLITS}")
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yield key, features
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else:
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raise ValueError(f"Please specify a valid config name : {_SPLITS}")
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