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from glob import glob |
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import json |
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import os |
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from pathlib import Path |
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import datasets |
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_URLS = { |
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"faq": "data/faq.json", |
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"product": "data/product.jsonl", |
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} |
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_CITATION = """\ |
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@dataset{early_media, |
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author = {Xing Tian}, |
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title = {e_commerce_customer_service}, |
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month = aug, |
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year = 2023, |
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publisher = {Xing Tian}, |
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version = {1.0}, |
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} |
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""" |
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class TelemarketingVoiceClassification(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="faq", version=VERSION, description="faq"), |
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datasets.BuilderConfig(name="product", version=VERSION, description="product"), |
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] |
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def _info(self): |
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if self.config.name == "faq": |
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features = datasets.Features( |
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{ |
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"url": datasets.Value("string"), |
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"question": datasets.Value("string"), |
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"answer": datasets.Value("string"), |
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"label": datasets.Value("string"), |
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} |
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) |
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elif self.config.name == "product": |
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features = datasets.Features( |
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{ |
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"title": datasets.Value("string"), |
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"brand": datasets.Value("string"), |
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"review": datasets.Value("string"), |
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"description": datasets.Value("string"), |
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"mpn": datasets.Value("string"), |
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"color": datasets.Sequence(datasets.Value("string")), |
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"size": datasets.Sequence(datasets.Value("string")), |
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"sku": datasets.Value("string"), |
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"ratingValue": datasets.Value("float32"), |
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"reviewCount": datasets.Value("int64"), |
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"overview": datasets.Value("string"), |
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"category": datasets.Value("string"), |
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"url": datasets.Value("string"), |
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} |
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) |
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else: |
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raise NotImplementedError |
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return datasets.DatasetInfo( |
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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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"""Returns SplitGenerators.""" |
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url = _URLS[self.config.name] |
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dl_path = dl_manager.download_and_extract(url) |
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archive_path = dl_path |
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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={"archive_path": archive_path, "split": "train"}, |
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), |
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] |
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def _generate_faq(self, archive_path, split): |
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archive_path = Path(archive_path) |
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with open(archive_path, "r", encoding="utf-8") as f: |
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faq = json.load(f) |
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idx = 0 |
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for qa in faq: |
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yield idx, { |
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"url": qa["url"], |
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"question": qa["question"], |
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"answer": qa["answer"], |
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"label": qa["label"], |
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} |
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idx += 1 |
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def _generate_product(self, archive_path, split): |
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archive_path = Path(archive_path) |
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idx = 0 |
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with open(archive_path, "r", encoding="utf-8") as f: |
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for row in f: |
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row = json.loads(row) |
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yield idx, { |
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"title": row["title"], |
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"brand": row["brand"], |
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"review": row["review"], |
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"description": row["description"], |
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"mpn": row["mpn"], |
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"color": row["color"], |
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"size": row["size"], |
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"sku": row["sku"], |
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"ratingValue": float(row["ratingValue"]) if row["ratingValue"] is not None else None, |
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"reviewCount": int(row["reviewCount"]) if row["reviewCount"] is not None else None, |
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"overview": row["overview"], |
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"category": row["category"], |
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"url": row["url"], |
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} |
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idx += 1 |
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def _generate_examples(self, archive_path, split): |
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"""Yields examples.""" |
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if self.config.name == "faq": |
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return self._generate_faq(archive_path, split) |
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elif self.config.name == "product": |
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return self._generate_product(archive_path, split) |
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else: |
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raise NotImplementedError |
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if __name__ == '__main__': |
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pass |
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