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masked-neuron
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amazon

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parquet-converter commited on Dec 9, 2022

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.gitattributes +0 -27
amazon.py +0 -208
clothing_majorshift01/amazon-test.parquet +3 -0
clothing_majorshift01/amazon-train.parquet +3 -0
clothing_majorshift02/amazon-test.parquet +3 -0
clothing_majorshift02/amazon-train.parquet +3 -0
clothing_majorshift03/amazon-test.parquet +3 -0
clothing_majorshift03/amazon-train-00000-of-00002.parquet +3 -0
clothing_majorshift03/amazon-train-00001-of-00002.parquet +3 -0

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amazon.py DELETED Viewed

@@ -1,208 +0,0 @@
-import csv
-import os
-import datasets
-logger = datasets.logging.get_logger(__name__)
-_DESCRIPTION = """
-"""
-_URLS = {
-    "clothing": "https://drive.google.com/u/0/uc?id=1HP3EPX9Q8JffUUZz2czXD7qudzvitscq&export=download",
-    "electronics": "https://drive.google.com/u/0/uc?id=1W50FNd0707qK1CCktEF30nlDqsImLg3X&export=download",
-    "office": "https://drive.google.com/u/0/uc?id=1lsttnBIjFD4nQw9idZYQNUWKSzj5VibD&export=download",
-}
-_FIELDS = ["date", "rating", "reviewText", "summary"]
-_RATINGS = ["1", "2", "3", "4", "5"]
-class AmazonConfig(datasets.BuilderConfig):
-    def __init__(
-        self,
-        training_files,
-        testing_files,
-        url,
-        label_classes=_RATINGS,
-        **kwargs,
-    ):
-        super().__init__(version=datasets.Version("1.0.0", ""), **kwargs)
-        self.label_classes = label_classes
-        self.training_files = training_files
-        self.testing_files = testing_files
-        self.url = url
-class Amazon(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        AmazonConfig(
-            name="clothing_majorshift01",
-            description="",
-            url=_URLS["clothing"],
-            training_files=[
-                "201011.csv",
-                "201012.csv",
-                "201101.csv",
-                "201102.csv",
-                "201103.csv",
-                "201104.csv",
-                "201105.csv",
-                "201106.csv",
-                "201107.csv",
-                "201108.csv",
-                "201109.csv",
-                "201110.csv",
-                "201111.csv",
-                "201112.csv",
-                "201201.csv",
-                "201202.csv",
-                "201203.csv",
-                "201204.csv",
-                "201205.csv",
-                "201206.csv",
-                "201207.csv",
-                "201208.csv",
-                "201209.csv",
-                "201210.csv",
-            ],
-            testing_files=[
-                "201211.csv",
-                "201212.csv",
-                "201301.csv",
-                "201302.csv",
-                "201303.csv",
-                "201304.csv",
-            ],
-        ),
-        AmazonConfig(
-            name="clothing_majorshift02",
-            description="",
-            url=_URLS["clothing"],
-            training_files=[
-                "200808.csv",
-                "200809.csv",
-                "200810.csv",
-                "200811.csv",
-                "200812.csv",
-                "200901.csv",
-                "200902.csv",
-                "200903.csv",
-                "200904.csv",
-                "200905.csv",
-                "200906.csv",
-                "200907.csv",
-                "200908.csv",
-                "200909.csv",
-                "200910.csv",
-                "200911.csv",
-                "200912.csv",
-                "201001.csv",
-                "201002.csv",
-                "201003.csv",
-                "201004.csv",
-                "201005.csv",
-                "201006.csv",
-                "201007.csv",
-            ],
-            testing_files=[
-                "201008.csv",
-                "201009.csv",
-                "201010.csv",
-                "201011.csv",
-                "201012.csv",
-                "201101.csv",
-            ],
-        ),
-        AmazonConfig(
-            name="clothing_majorshift03",
-            description="",
-            url=_URLS["clothing"],
-            training_files=[
-                "201602.csv",
-                "201603.csv",
-                "201604.csv",
-                "201605.csv",
-                "201606.csv",
-                "201607.csv",
-                "201608.csv",
-                "201609.csv",
-                "201610.csv",
-                "201611.csv",
-                "201612.csv",
-                "201701.csv",
-                "201702.csv",
-                "201703.csv",
-                "201704.csv",
-                "201705.csv",
-                "201706.csv",
-                "201707.csv",
-                "201708.csv",
-                "201709.csv",
-                "201710.csv",
-                "201711.csv",
-                "201712.csv",
-                "201801.csv",
-            ],
-            testing_files=[
-                "201802.csv",
-                "201803.csv",
-                "201804.csv",
-                "201805.csv",
-                "201806.csv",
-                "201807.csv",
-            ],
-        ),
-    ]
-    def _info(self):
-        features = {
-            "date": datasets.Value("string"),
-            "id": datasets.Value("int32"),
-            "label": datasets.features.ClassLabel(names=self.config.label_classes),
-            "text": datasets.Value("string"),
-        }
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(features),
-        )
-    def _split_generators(self, dl_manager):
-        dirname = dl_manager.download_and_extract(self.config.url)
-        logger.info(str(dirname))
-        category = self.config.name.split("_")[
-            0
-        ]  # extract category name from the config
-        train_filepaths = tuple(
-            os.path.join(dirname, category, fname)
-            for fname in self.config.training_files
-        )
-        test_filepaths = tuple(
-            os.path.join(dirname, category, fname)
-            for fname in self.config.testing_files
-        )
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepaths": train_filepaths},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepaths": test_filepaths},
-            ),
-        ]
-    def _generate_examples(self, filepaths):
-        logger.info(f"generating examples from {len(filepaths)} files")
-        idx = 0
-        for filepath in filepaths:
-            with open(filepath, encoding="utf-8") as f:
-                reader = csv.DictReader(f, fieldnames=_FIELDS)
-                for row in reader:
-                    yield idx, {
-                        "date": row["date"],
-                        "id": idx,
-                        "label": row["rating"],
-                        "text": row["reviewText"],
-                    }
-                    idx += 1

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