| import csv | |
| import os | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| _DESCRIPTION = """ | |
| """ | |
| _URLS = { | |
| "ccd": "https://drive.google.com/u/0/uc?id=13UYcJ6BcojsCKy-yc9qgHTyBMCCWB-w1&export=download", | |
| "clothing": "https://drive.google.com/u/0/uc?id=1BwDS30xzFEDqP-z9adj4wVSlsSjOIGqc&export=download", | |
| "clothing_binary": "https://drive.google.com/u/0/uc?id=1P5aPKD0wU1NWUlh2QiIYwSPN-S3wD3ua&export=download", | |
| "electronics": "https://drive.google.com/u/0/uc?id=1ztIUsraLPJSKkkle_uTrd78hYsSKKmur&export=download", | |
| "electronics_binary": "https://drive.google.com/u/0/uc?id=103kJN6snOc2sSMH9ojd_PNohVQ1g4XUJ&export=download", | |
| "office": "https://drive.google.com/u/0/uc?id=1DbrvS02d75sXoxaaPh90bJdRvr15fUS5&export=download", | |
| "office_binary": "https://drive.google.com/u/0/uc?id=1ED4JnoTFu_4H80jBUJlqRrEor-taZ2Qz&export=download", | |
| "toxicity": "https://drive.google.com/u/0/uc?id=1iATGRaGuOqiUrj31jYjAzns8iS_BJh1h&export=download", | |
| } | |
| _FIELDS = { | |
| "amazon": ["date", "rating", "reviewText", "summary"], | |
| "ccd": ["date", "product", "subproduct", "issue", "subissue", "text"], | |
| "toxicity": ["rev_id", "toxicity", "date", "comment", "sample"], | |
| } | |
| _LABELS = { | |
| "amazon": ["1", "2", "3", "4", "5"], | |
| "amazon_binary": ["0", "1"], | |
| "ccd": [ | |
| "Checking or savings account", | |
| "Credit card or prepaid card", | |
| "Credit reporting, credit repair services, or other personal consumer reports", | |
| "Debt collection", | |
| "Money transfer, virtual currency, or money service", | |
| "Mortgage", | |
| "Payday loan, title loan, or personal loan", | |
| "Student loan", | |
| "Vehicle loan or lease", | |
| ], | |
| "toxicity": [0, 1], | |
| } | |
| class QBConfig(datasets.BuilderConfig): | |
| def __init__( | |
| self, | |
| csv_fields, | |
| label_classes, | |
| label_column, | |
| text_column, | |
| url, | |
| **kwargs, | |
| ): | |
| super().__init__(version=datasets.Version("1.0.0", ""), **kwargs) | |
| self.csv_fields = csv_fields | |
| self.label_classes = label_classes | |
| self.label_column = label_column | |
| self.text_column = text_column | |
| self.url = url | |
| class QB(datasets.GeneratorBasedBuilder): | |
| BUILDER_CONFIGS = [ | |
| QBConfig( | |
| name="ccd", | |
| description="Consumer Complaints Database", | |
| url=_URLS["ccd"], | |
| csv_fields=_FIELDS["ccd"], | |
| label_classes=_LABELS["ccd"], | |
| label_column="product", | |
| text_column="text", | |
| ), | |
| QBConfig( | |
| name="clothing", | |
| description="Amazon Reviews (Clothing)", | |
| url=_URLS["clothing"], | |
| csv_fields=_FIELDS["amazon"], | |
| label_classes=_LABELS["amazon"], | |
| label_column="rating", | |
| text_column="reviewText", | |
| ), | |
| QBConfig( | |
| name="clothing_binary", | |
| description="Amazon Reviews (Clothing) with binary labels", | |
| url=_URLS["clothing_binary"], | |
| csv_fields=_FIELDS["amazon"], | |
| label_classes=_LABELS["amazon_binary"], | |
| label_column="rating", | |
| text_column="reviewText", | |
| ), | |
| QBConfig( | |
| name="electronics", | |
| description="Amazon Reviews (Electronics)", | |
| url=_URLS["electronics"], | |
| csv_fields=_FIELDS["amazon"], | |
| label_classes=_LABELS["amazon"], | |
| label_column="rating", | |
| text_column="reviewText", | |
| ), | |
| QBConfig( | |
| name="electronics_binary", | |
| description="Amazon Reviews (Electronics) with binary labels", | |
| url=_URLS["electronics_binary"], | |
| csv_fields=_FIELDS["amazon"], | |
| label_classes=_LABELS["amazon_binary"], | |
| label_column="rating", | |
| text_column="reviewText", | |
| ), | |
| QBConfig( | |
| name="office", | |
| description="Amazon Reviews (Office)", | |
| url=_URLS["office"], | |
| csv_fields=_FIELDS["amazon"], | |
| label_classes=_LABELS["amazon"], | |
| label_column="rating", | |
| text_column="reviewText", | |
| ), | |
| QBConfig( | |
| name="office_binary", | |
| description="Amazon Reviews (Office) with binary labels", | |
| url=_URLS["office_binary"], | |
| csv_fields=_FIELDS["amazon"], | |
| label_classes=_LABELS["amazon_binary"], | |
| label_column="rating", | |
| text_column="reviewText", | |
| ), | |
| QBConfig( | |
| name="toxicity", | |
| description="Wikipedia toxicity data set", | |
| url=_URLS["toxicity"], | |
| csv_fields=_FIELDS["toxicity"], | |
| label_classes=_LABELS["toxicity"], | |
| label_column="toxicity", | |
| text_column="comment", | |
| ), | |
| ] | |
| 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): | |
| downloaded_files = dl_manager.download_and_extract(self.config.url) | |
| logger.info(str(downloaded_files)) | |
| train_filepath = os.path.join(downloaded_files, "train.csv") | |
| test_filepath = os.path.join(downloaded_files, "test.csv") | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={"filepath": train_filepath}, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={"filepath": test_filepath}, | |
| ), | |
| ] | |
| def _generate_examples(self, filepath): | |
| logger.info(f"generating examples from {filepath}") | |
| idx = 0 | |
| with open(filepath, encoding="utf-8") as f: | |
| reader = csv.DictReader(f, fieldnames=self.config.csv_fields) | |
| for row in reader: | |
| yield idx, { | |
| "date": row["date"], | |
| "id": idx, | |
| "label": row[self.config.label_column], | |
| "text": row[self.config.text_column], | |
| } | |
| idx += 1 | |