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"""edataset.""" |
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import json |
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import datasets |
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_CITATION = """ |
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""" |
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_DESCRIPTION = "dataset load script for retrieve" |
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_DATASET_URLS = { |
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'train': "https://huggingface.co/datasets/spacemanidol/dset/resolve/main/queries.jsonl", |
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} |
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class dset(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("0.0.1") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(version=VERSION, |
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description="dset datasets"), |
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] |
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def _info(self): |
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features = datasets.Features({ |
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'query_id': datasets.Value('string'), |
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'query': datasets.Value('string'), |
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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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supervised_keys=None, |
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homepage="", |
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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.data_files: |
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downloaded_files = self.config.data_files |
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else: |
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downloaded_files = dl_manager.download_and_extract(_DATASET_URLS) |
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splits = [ |
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datasets.SplitGenerator( |
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name=split, |
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gen_kwargs={ |
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"files": [downloaded_files[split]] if isinstance(downloaded_files[split], str) else downloaded_files[split], |
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}, |
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) for split in downloaded_files |
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] |
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return splits |
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def _generate_examples(self, files): |
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"""Yields examples.""" |
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for filepath in files: |
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with open(filepath, encoding="utf-8") as f: |
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for line in f: |
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data = json.loads(line) |
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yield data['query_id'], data |