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from datasets import ( |
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DatasetBuilder, |
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GeneratorBasedBuilder, |
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DatasetInfo, |
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Sequence, |
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Split, |
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SplitGenerator, |
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DownloadManager, |
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Features, |
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Value, |
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Version, |
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) |
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import os |
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_DESCRIPTION = """\ |
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OpenSERP-v1 is a large dataset of over one billion embeddings designed to power a webscale information retrieval systems. |
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""" |
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class MyDataset(GeneratorBasedBuilder): |
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VERSION = Version("1.0.0") |
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def _info(self): |
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return DatasetInfo( |
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description=_DESCRIPTION, |
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features=Features( |
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{ |
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"id": Value("string"), |
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"url": Value("string"), |
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"title": Value("string"), |
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"metadata": Value("string"), |
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"dataset": Value("string"), |
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"text_chunks": Sequence(Value("string")), |
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"embeddings": Sequence(Value("float")), |
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} |
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), |
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) |
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def _split_generators(self, dl_manager: DownloadManager): |
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return [ |
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SplitGenerator( |
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name=Split.TRAIN, |
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gen_kwargs={"filepath": "arxiv"}, |
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), |
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] |
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def _generate_examples(self, filepath): |
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for filename in os.listdir(filepath): |
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file_path = os.path.join(filepath, filename) |
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with open(file_path, encoding="utf-8") as f: |
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data = f.read() |
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yield filename, {"text": data} |
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