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import csv |
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import os |
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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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_DESCRIPTION = """ |
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""" |
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_URLS = { |
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"clothing": "https://drive.google.com/u/0/uc?id=1HP3EPX9Q8JffUUZz2czXD7qudzvitscq&export=download", |
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"electronics": "https://drive.google.com/u/0/uc?id=1W50FNd0707qK1CCktEF30nlDqsImLg3X&export=download", |
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"office": "https://drive.google.com/u/0/uc?id=1lsttnBIjFD4nQw9idZYQNUWKSzj5VibD&export=download", |
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} |
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_FIELDS = ["date", "rating", "reviewText", "summary"] |
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_RATINGS = ["1", "2", "3", "4", "5"] |
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class AmazonConfig(datasets.BuilderConfig): |
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def __init__( |
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self, |
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training_files, |
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testing_files, |
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url, |
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label_classes=_RATINGS, |
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**kwargs, |
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): |
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super().__init__(version=datasets.Version("1.0.0", ""), **kwargs) |
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self.label_classes = label_classes |
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self.training_files = training_files |
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self.testing_files = testing_files |
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self.url = url |
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class Amazon(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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AmazonConfig( |
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name="clothing_majorshift01", |
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description="", |
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url=_URLS["clothing"], |
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training_files=[ |
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"201011.csv", |
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"201012.csv", |
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"201101.csv", |
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"201102.csv", |
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"201103.csv", |
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"201104.csv", |
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"201105.csv", |
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"201106.csv", |
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"201107.csv", |
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"201108.csv", |
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"201109.csv", |
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"201110.csv", |
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"201111.csv", |
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"201112.csv", |
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"201201.csv", |
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"201202.csv", |
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"201203.csv", |
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"201204.csv", |
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"201205.csv", |
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"201206.csv", |
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"201207.csv", |
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"201208.csv", |
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"201209.csv", |
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"201210.csv", |
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], |
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testing_files=[ |
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"201211.csv", |
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"201212.csv", |
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"201301.csv", |
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"201302.csv", |
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"201303.csv", |
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"201304.csv", |
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], |
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), |
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AmazonConfig( |
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name="clothing_majorshift02", |
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description="", |
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url=_URLS["clothing"], |
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training_files=[ |
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"200808.csv", |
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"200809.csv", |
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"200810.csv", |
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"200811.csv", |
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"200812.csv", |
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"200901.csv", |
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"200902.csv", |
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"200903.csv", |
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"200904.csv", |
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"200905.csv", |
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"200906.csv", |
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"200907.csv", |
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"200908.csv", |
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"200909.csv", |
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"200910.csv", |
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"200911.csv", |
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"200912.csv", |
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"201001.csv", |
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"201002.csv", |
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"201003.csv", |
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"201004.csv", |
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"201005.csv", |
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"201006.csv", |
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"201007.csv", |
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], |
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testing_files=[ |
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"201008.csv", |
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"201009.csv", |
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"201010.csv", |
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"201011.csv", |
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"201012.csv", |
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"201101.csv", |
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], |
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), |
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AmazonConfig( |
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name="clothing_majorshift03", |
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description="", |
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url=_URLS["clothing"], |
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training_files=[ |
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"201602.csv", |
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"201603.csv", |
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"201604.csv", |
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"201605.csv", |
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"201606.csv", |
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"201607.csv", |
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"201608.csv", |
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"201609.csv", |
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"201610.csv", |
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"201611.csv", |
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"201612.csv", |
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"201701.csv", |
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"201702.csv", |
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"201703.csv", |
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"201704.csv", |
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"201705.csv", |
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"201706.csv", |
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"201707.csv", |
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"201708.csv", |
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"201709.csv", |
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"201710.csv", |
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"201711.csv", |
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"201712.csv", |
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"201801.csv", |
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], |
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testing_files=[ |
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"201802.csv", |
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"201803.csv", |
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"201804.csv", |
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"201805.csv", |
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"201806.csv", |
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"201807.csv", |
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], |
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), |
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] |
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def _info(self): |
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features = { |
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"date": datasets.Value("string"), |
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"id": datasets.Value("int32"), |
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"label": datasets.features.ClassLabel(names=self.config.label_classes), |
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"text": 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=datasets.Features(features), |
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) |
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def _split_generators(self, dl_manager): |
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dirname = dl_manager.download_and_extract(self.config.url) |
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logger.info(str(dirname)) |
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category = self.config.name.split("_")[ |
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0 |
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] |
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train_filepaths = tuple( |
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os.path.join(dirname, category, fname) |
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for fname in self.config.training_files |
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) |
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test_filepaths = tuple( |
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os.path.join(dirname, category, fname) |
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for fname in self.config.testing_files |
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) |
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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={"filepaths": train_filepaths}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={"filepaths": test_filepaths}, |
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), |
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] |
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def _generate_examples(self, filepaths): |
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logger.info(f"generating examples from {len(filepaths)} files") |
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idx = 0 |
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for filepath in filepaths: |
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with open(filepath, encoding="utf-8") as f: |
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reader = csv.DictReader(f, fieldnames=_FIELDS) |
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for row in reader: |
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yield idx, { |
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"date": row["date"], |
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"id": idx, |
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"label": row["rating"], |
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"text": row["reviewText"], |
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} |
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idx += 1 |
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