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mciancone commited on
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Delete 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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-
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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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-
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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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-
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- class Syntec(datasets.GeneratorBasedBuilder):
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- """Syntec: 100 questions for information retrieval"""
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-
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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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-
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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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-
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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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-
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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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-
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-
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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}")