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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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The consumer compaint data set is derived from the consumer complaint database |
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for the purpose of benchmarking quantification / label shift algorithms. The |
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data set consists of records of compaints about consumer financial products and |
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services that the Consumer Financial Protection Bureau sent to companies for |
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response. Each record has a corresponding product / sub product field which can |
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be used as labels for text classification. |
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""" |
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|
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_URLS = { |
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"ccd": "https://drive.google.com/u/0/uc?id=1UVCa-9oh5Oz5cPO7kQluY8am1pAUUbes&export=download", |
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} |
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_FIELDS = ["date", "product", "subproduct", "issue", "subissue", "text"] |
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_PRODUCT_CATEGORIES = [ |
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"Checking or savings account", |
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"Credit card or prepaid card", |
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"Credit reporting, credit repair services, or other personal consumer reports", |
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"Debt collection", |
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"Money transfer, virtual currency, or money service", |
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"Mortgage", |
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"Payday loan, title loan, or personal loan", |
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"Student loan", |
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"Vehicle loan or lease", |
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] |
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class CcdConfig(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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label_column="product", |
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label_classes=_PRODUCT_CATEGORIES, |
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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_column = label_column |
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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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class Ccd(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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CcdConfig( |
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name="standard01", |
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description="", |
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training_files=[ |
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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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"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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"201808.csv", |
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], |
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testing_files=[ |
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"201809.csv", |
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"201810.csv", |
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"201811.csv", |
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"201812.csv", |
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"201901.csv", |
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"201902.csv", |
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], |
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), |
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CcdConfig( |
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name="standard02", |
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description="", |
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training_files=[ |
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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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"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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"201808.csv", |
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"201809.csv", |
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"201810.csv", |
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"201811.csv", |
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"201812.csv", |
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"201901.csv", |
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"201902.csv", |
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"201903.csv", |
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"201904.csv", |
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"201905.csv", |
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"201906.csv", |
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], |
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testing_files=[ |
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"201907.csv", |
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"201908.csv", |
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"201909.csv", |
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"201910.csv", |
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"201911.csv", |
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"201912.csv", |
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], |
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), |
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CcdConfig( |
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name="standard03", |
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description="", |
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training_files=[ |
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"201902.csv", |
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"201903.csv", |
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"201904.csv", |
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"201905.csv", |
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"201906.csv", |
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"201907.csv", |
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"201908.csv", |
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"201909.csv", |
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"201910.csv", |
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"201911.csv", |
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"201912.csv", |
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"202001.csv", |
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"202002.csv", |
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"202003.csv", |
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"202004.csv", |
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"202005.csv", |
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"202006.csv", |
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"202007.csv", |
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"202008.csv", |
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"202009.csv", |
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"202010.csv", |
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"202011.csv", |
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"202012.csv", |
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"202101.csv", |
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], |
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testing_files=[ |
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"202102.csv", |
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"202103.csv", |
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"202104.csv", |
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"202105.csv", |
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"202106.csv", |
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"202107.csv", |
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], |
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), |
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CcdConfig( |
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name="majorshift01", |
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description="Training on 24 months before a major distribution shift and testing on 6 months after.", |
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training_files=[ |
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"201505.csv", |
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"201506.csv", |
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"201507.csv", |
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"201508.csv", |
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"201509.csv", |
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"201510.csv", |
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"201511.csv", |
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"201512.csv", |
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"201601.csv", |
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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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], |
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testing_files=[ |
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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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], |
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), |
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CcdConfig( |
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name="majorshift02", |
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description="Training on 24 months before a major distribution shift and testing on 6 months after.", |
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training_files=[ |
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"201511.csv", |
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"201512.csv", |
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"201601.csv", |
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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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], |
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testing_files=[ |
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"201711.csv", |
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"201712.csv", |
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"201801.csv", |
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"201802.csv", |
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"201803.csv", |
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"201804.csv", |
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], |
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), |
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CcdConfig( |
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name="majorshift03", |
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description="Training on 24 months before a major distribution shift and testing on 6 months after.", |
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training_files=[ |
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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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"201808.csv", |
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"201809.csv", |
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"201810.csv", |
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"201811.csv", |
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"201812.csv", |
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"201901.csv", |
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"201902.csv", |
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"201903.csv", |
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"201904.csv", |
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"201905.csv", |
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"201906.csv", |
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"201907.csv", |
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"201908.csv", |
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"201909.csv", |
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"201910.csv", |
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"201911.csv", |
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"201912.csv", |
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"202001.csv", |
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"202002.csv", |
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], |
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testing_files=[ |
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"202003.csv", |
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"202004.csv", |
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"202005.csv", |
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"202006.csv", |
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"202007.csv", |
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"202008.csv", |
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], |
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), |
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CcdConfig( |
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name="skiptime01", |
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description="Training on 24 months before a major distribution shift, testing on 6 months after a period of time.", |
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training_files=[ |
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"201505.csv", |
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"201506.csv", |
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"201507.csv", |
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"201508.csv", |
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"201509.csv", |
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"201510.csv", |
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"201511.csv", |
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"201512.csv", |
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"201601.csv", |
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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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], |
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testing_files=[ |
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"201805.csv", |
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"201806.csv", |
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"201807.csv", |
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"201808.csv", |
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"201809.csv", |
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"201810.csv", |
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], |
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), |
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CcdConfig( |
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name="skiptime02", |
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description="Training on 24 months before a major distribution shift, testing on 6 months after a period of time.", |
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training_files=[ |
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"201511.csv", |
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"201512.csv", |
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"201601.csv", |
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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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], |
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testing_files=[ |
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"201811.csv", |
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"201812.csv", |
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"201901.csv", |
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"201902.csv", |
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"201903.csv", |
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"201904.csv", |
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], |
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), |
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CcdConfig( |
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name="skiptime03", |
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description="Training on 24 months before a major distribution shift, testing on 6 months after a period of time.", |
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training_files=[ |
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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", |
|
"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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"201802.csv", |
|
"201803.csv", |
|
"201804.csv", |
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"201805.csv", |
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"201806.csv", |
|
"201807.csv", |
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"201808.csv", |
|
"201809.csv", |
|
"201810.csv", |
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"201811.csv", |
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"201812.csv", |
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"201901.csv", |
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"201902.csv", |
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], |
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testing_files=[ |
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"202003.csv", |
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"202004.csv", |
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"202005.csv", |
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"202006.csv", |
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"202007.csv", |
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"202008.csv", |
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], |
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), |
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|
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CcdConfig( |
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name="chrono01", |
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description="Training on 201507-201806 and testing on 201807-201906", |
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training_files=[ |
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"201507.csv", |
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"201508.csv", |
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"201509.csv", |
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"201510.csv", |
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"201511.csv", |
|
"201512.csv", |
|
"201601.csv", |
|
"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", |
|
"201802.csv", |
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"201803.csv", |
|
"201804.csv", |
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"201805.csv", |
|
"201806.csv", |
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], |
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testing_files=[ |
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"201807.csv", |
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"201808.csv", |
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"201809.csv", |
|
"201810.csv", |
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"201811.csv", |
|
"201812.csv", |
|
"201901.csv", |
|
"201902.csv", |
|
"201903.csv", |
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"201904.csv", |
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"201905.csv", |
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"201906.csv", |
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], |
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), |
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CcdConfig( |
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name="chrono02", |
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description="Training on 201607-201906 and testing on 201907-202006", |
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training_files=[ |
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"201607.csv", |
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"201608.csv", |
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"201609.csv", |
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"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", |
|
"201802.csv", |
|
"201803.csv", |
|
"201804.csv", |
|
"201805.csv", |
|
"201806.csv", |
|
"201807.csv", |
|
"201808.csv", |
|
"201809.csv", |
|
"201810.csv", |
|
"201811.csv", |
|
"201812.csv", |
|
"201901.csv", |
|
"201902.csv", |
|
"201903.csv", |
|
"201904.csv", |
|
"201905.csv", |
|
"201906.csv", |
|
], |
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testing_files=[ |
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"201907.csv", |
|
"201908.csv", |
|
"201909.csv", |
|
"201910.csv", |
|
"201911.csv", |
|
"201912.csv", |
|
"202001.csv", |
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"202002.csv", |
|
"202003.csv", |
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"202004.csv", |
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"202005.csv", |
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"202006.csv", |
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], |
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), |
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CcdConfig( |
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name="chrono03", |
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description="Training on 201707-202006 and testing on 202007-202106", |
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training_files=[ |
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"201707.csv", |
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"201708.csv", |
|
"201709.csv", |
|
"201710.csv", |
|
"201711.csv", |
|
"201712.csv", |
|
"201801.csv", |
|
"201802.csv", |
|
"201803.csv", |
|
"201804.csv", |
|
"201805.csv", |
|
"201806.csv", |
|
"201807.csv", |
|
"201808.csv", |
|
"201809.csv", |
|
"201810.csv", |
|
"201811.csv", |
|
"201812.csv", |
|
"201901.csv", |
|
"201902.csv", |
|
"201903.csv", |
|
"201904.csv", |
|
"201905.csv", |
|
"201906.csv", |
|
"201907.csv", |
|
"201908.csv", |
|
"201909.csv", |
|
"201910.csv", |
|
"201911.csv", |
|
"201912.csv", |
|
"202001.csv", |
|
"202002.csv", |
|
"202003.csv", |
|
"202004.csv", |
|
"202005.csv", |
|
"202006.csv", |
|
], |
|
testing_files=[ |
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"202007.csv", |
|
"202008.csv", |
|
"202009.csv", |
|
"202010.csv", |
|
"202011.csv", |
|
"202012.csv", |
|
"202101.csv", |
|
"202102.csv", |
|
"202103.csv", |
|
"202104.csv", |
|
"202105.csv", |
|
"202106.csv", |
|
], |
|
), |
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CcdConfig( |
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name="trainlow_testhigh01", |
|
description="Training on low entropy label distribution splits and testing on high entropy splits", |
|
training_files=[ |
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"201709.csv", |
|
"202106.csv", |
|
"202005.csv", |
|
"202012.csv", |
|
"202011.csv", |
|
"202007.csv", |
|
"202008.csv", |
|
"202101.csv", |
|
"202009.csv", |
|
"202003.csv", |
|
"202010.csv", |
|
"202006.csv", |
|
"202004.csv", |
|
"202105.csv", |
|
"202001.csv", |
|
"202002.csv", |
|
"201908.csv", |
|
"202103.csv", |
|
"202102.csv", |
|
"201907.csv", |
|
"202104.csv", |
|
"201906.csv", |
|
"201911.csv", |
|
"201912.csv", |
|
"201905.csv", |
|
"201910.csv", |
|
"201909.csv", |
|
"201811.csv", |
|
"201904.csv", |
|
"201902.csv", |
|
"201903.csv", |
|
"201810.csv", |
|
"201802.csv", |
|
"201808.csv", |
|
"201812.csv", |
|
"201805.csv", |
|
], |
|
testing_files=[ |
|
"201710.csv", |
|
"201803.csv", |
|
"201807.csv", |
|
"201809.csv", |
|
"201804.csv", |
|
"201707.csv", |
|
"201708.csv", |
|
"201901.csv", |
|
"201711.csv", |
|
"201806.csv", |
|
"201705.csv", |
|
"201712.csv", |
|
], |
|
), |
|
CcdConfig( |
|
name="trainlow_testhigh02", |
|
description="Training on low entropy label distribution splits and testing on high entropy splits", |
|
training_files=[ |
|
"202004.csv", |
|
"202105.csv", |
|
"202001.csv", |
|
"202002.csv", |
|
"201908.csv", |
|
"202103.csv", |
|
"202102.csv", |
|
"201907.csv", |
|
"202104.csv", |
|
"201906.csv", |
|
"201911.csv", |
|
"201912.csv", |
|
"201905.csv", |
|
"201910.csv", |
|
"201909.csv", |
|
"201811.csv", |
|
"201904.csv", |
|
"201902.csv", |
|
"201903.csv", |
|
"201810.csv", |
|
"201802.csv", |
|
"201808.csv", |
|
"201812.csv", |
|
"201805.csv", |
|
"201710.csv", |
|
"201803.csv", |
|
"201807.csv", |
|
"201809.csv", |
|
"201804.csv", |
|
"201707.csv", |
|
"201708.csv", |
|
"201901.csv", |
|
"201711.csv", |
|
"201806.csv", |
|
"201705.csv", |
|
"201712.csv", |
|
], |
|
testing_files=[ |
|
"201706.csv", |
|
"201801.csv", |
|
"201508.csv", |
|
"201507.csv", |
|
"201509.csv", |
|
"201602.csv", |
|
"201512.csv", |
|
"201601.csv", |
|
"201704.csv", |
|
"201511.csv", |
|
"201603.csv", |
|
"201510.csv", |
|
], |
|
), |
|
CcdConfig( |
|
name="trainlow_testhigh03", |
|
description="Training on low entropy label distribution splits and testing on high entropy splits", |
|
training_files=[ |
|
"201905.csv", |
|
"201910.csv", |
|
"201909.csv", |
|
"201811.csv", |
|
"201904.csv", |
|
"201902.csv", |
|
"201903.csv", |
|
"201810.csv", |
|
"201802.csv", |
|
"201808.csv", |
|
"201812.csv", |
|
"201805.csv", |
|
"201710.csv", |
|
"201803.csv", |
|
"201807.csv", |
|
"201809.csv", |
|
"201804.csv", |
|
"201707.csv", |
|
"201708.csv", |
|
"201901.csv", |
|
"201711.csv", |
|
"201806.csv", |
|
"201705.csv", |
|
"201712.csv", |
|
"201706.csv", |
|
"201801.csv", |
|
"201508.csv", |
|
"201507.csv", |
|
"201509.csv", |
|
"201602.csv", |
|
"201512.csv", |
|
"201601.csv", |
|
"201704.csv", |
|
"201511.csv", |
|
"201603.csv", |
|
"201510.csv", |
|
], |
|
testing_files=[ |
|
"201701.csv", |
|
"201605.csv", |
|
"201607.csv", |
|
"201612.csv", |
|
"201604.csv", |
|
"201606.csv", |
|
"201608.csv", |
|
"201703.csv", |
|
"201610.csv", |
|
"201611.csv", |
|
"201609.csv", |
|
"201702.csv", |
|
], |
|
), |
|
CcdConfig( |
|
name="trainhigh_testlow01", |
|
description="Training on high entropy label distribution splits and testing on low entropy splits", |
|
training_files=[ |
|
"201710.csv", |
|
"201803.csv", |
|
"201807.csv", |
|
"201809.csv", |
|
"201804.csv", |
|
"201707.csv", |
|
"201708.csv", |
|
"201901.csv", |
|
"201711.csv", |
|
"201806.csv", |
|
"201705.csv", |
|
"201712.csv", |
|
"201706.csv", |
|
"201801.csv", |
|
"201508.csv", |
|
"201507.csv", |
|
"201509.csv", |
|
"201602.csv", |
|
"201512.csv", |
|
"201601.csv", |
|
"201704.csv", |
|
"201511.csv", |
|
"201603.csv", |
|
"201510.csv", |
|
"201701.csv", |
|
"201605.csv", |
|
"201607.csv", |
|
"201612.csv", |
|
"201604.csv", |
|
"201606.csv", |
|
"201608.csv", |
|
"201703.csv", |
|
"201610.csv", |
|
"201611.csv", |
|
"201609.csv", |
|
"201702.csv", |
|
], |
|
testing_files=[ |
|
"201905.csv", |
|
"201910.csv", |
|
"201909.csv", |
|
"201811.csv", |
|
"201904.csv", |
|
"201902.csv", |
|
"201903.csv", |
|
"201810.csv", |
|
"201802.csv", |
|
"201808.csv", |
|
"201812.csv", |
|
"201805.csv", |
|
], |
|
), |
|
CcdConfig( |
|
name="trainhigh_testlow02", |
|
description="Training on high entropy label distribution splits and testing on low entropy splits", |
|
training_files=[ |
|
"201905.csv", |
|
"201910.csv", |
|
"201909.csv", |
|
"201811.csv", |
|
"201904.csv", |
|
"201902.csv", |
|
"201903.csv", |
|
"201810.csv", |
|
"201802.csv", |
|
"201808.csv", |
|
"201812.csv", |
|
"201805.csv", |
|
"201710.csv", |
|
"201803.csv", |
|
"201807.csv", |
|
"201809.csv", |
|
"201804.csv", |
|
"201707.csv", |
|
"201708.csv", |
|
"201901.csv", |
|
"201711.csv", |
|
"201806.csv", |
|
"201705.csv", |
|
"201712.csv", |
|
"201706.csv", |
|
"201801.csv", |
|
"201508.csv", |
|
"201507.csv", |
|
"201509.csv", |
|
"201602.csv", |
|
"201512.csv", |
|
"201601.csv", |
|
"201704.csv", |
|
"201511.csv", |
|
"201603.csv", |
|
"201510.csv", |
|
], |
|
testing_files=[ |
|
"202004.csv", |
|
"202105.csv", |
|
"202001.csv", |
|
"202002.csv", |
|
"201908.csv", |
|
"202103.csv", |
|
"202102.csv", |
|
"201907.csv", |
|
"202104.csv", |
|
"201906.csv", |
|
"201911.csv", |
|
"201912.csv", |
|
], |
|
), |
|
CcdConfig( |
|
name="trainhigh_testlow03", |
|
description="Training on high entropy label distribution splits and testing on low entropy splits", |
|
training_files=[ |
|
"202004.csv", |
|
"202105.csv", |
|
"202001.csv", |
|
"202002.csv", |
|
"201908.csv", |
|
"202103.csv", |
|
"202102.csv", |
|
"201907.csv", |
|
"202104.csv", |
|
"201906.csv", |
|
"201911.csv", |
|
"201912.csv", |
|
"201905.csv", |
|
"201910.csv", |
|
"201909.csv", |
|
"201811.csv", |
|
"201904.csv", |
|
"201902.csv", |
|
"201903.csv", |
|
"201810.csv", |
|
"201802.csv", |
|
"201808.csv", |
|
"201812.csv", |
|
"201805.csv", |
|
"201710.csv", |
|
"201803.csv", |
|
"201807.csv", |
|
"201809.csv", |
|
"201804.csv", |
|
"201707.csv", |
|
"201708.csv", |
|
"201901.csv", |
|
"201711.csv", |
|
"201806.csv", |
|
"201705.csv", |
|
"201712.csv", |
|
], |
|
testing_files=[ |
|
"201709.csv", |
|
"202106.csv", |
|
"202005.csv", |
|
"202012.csv", |
|
"202011.csv", |
|
"202007.csv", |
|
"202008.csv", |
|
"202101.csv", |
|
"202009.csv", |
|
"202003.csv", |
|
"202010.csv", |
|
"202006.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): |
|
downloaded_files = dl_manager.download_and_extract(_URLS) |
|
logger.info(str(downloaded_files)) |
|
dirname = downloaded_files["ccd"] |
|
train_filepaths = tuple( |
|
os.path.join(dirname, "ccd", fname) for fname in self.config.training_files |
|
) |
|
test_filepaths = tuple( |
|
os.path.join(dirname, "ccd", 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[self.config.label_column], |
|
"text": row["text"], |
|
} |
|
idx += 1 |
|
|
