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import gc |
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import shutil |
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from datasets import Dataset, load_from_disk |
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from chat_data_pipeline.pipeline import logger |
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from chat_data_pipeline import utils |
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from chat_data_pipeline.minhash_deduplication import deduplicate |
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class DataPreprocessor: |
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dataset: Dataset |
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def __init__( |
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self, |
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dataset, |
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column_name, |
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cleaners, |
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filters, |
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deduplication_config, |
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dry_run=False, |
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verbose=False |
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): |
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self.dataset = dataset |
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self.column_name = column_name |
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self.cleaners = cleaners |
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self.filters = filters |
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self.deduplication_config = deduplication_config |
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self.dry_run = dry_run |
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self.verbose = verbose |
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def run(self): |
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self._clean_dataset() |
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self._filter_dataset() |
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if self.deduplication_config.get("do_deduplication", False): |
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self._deduplicate_dataset() |
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return self.dataset |
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def _clean_dataset(self): |
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if len(self.cleaners) > 0: |
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self.dataset = utils.run_cleaner(self.dataset, self.column_name, self.cleaners) |
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return self.dataset |
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def _filter_dataset(self): |
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for filter_func in self.filters: |
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dataset_length = len(self.dataset) |
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ids = range(dataset_length) |
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self.dataset = self.dataset.add_column("ids", ids) |
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filtered_dataset = utils.run_filter( |
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dataset=self.dataset, |
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column_name=self.column_name, |
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filter_func=filter_func, |
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dry_run=self.dry_run |
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) |
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self._print_filter_logs(filtered_dataset, filter_func.__name__) |
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self.dataset = filtered_dataset.remove_columns("ids") |
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return self.dataset |
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def _deduplicate_dataset(self): |
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dataset_length = len(self.dataset) |
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ids = range(dataset_length) |
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self.dataset = self.dataset.add_column("ids", ids) |
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target_directory = "./.temp-dataset" |
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shutil.rmtree(target_directory, ignore_errors=True) |
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try: |
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self.dataset.save_to_disk(target_directory) |
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except PermissionError: |
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logger.info("Can not save dataset, nothing changed. Skipping...") |
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gc.collect() |
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self.dataset = load_from_disk(target_directory) |
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deduplicated_ds = deduplicate( |
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self.dataset, |
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column=self.column_name, |
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**self.deduplication_config.get("args", {}) |
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) |
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self.dataset = deduplicated_ds.remove_columns("ids") |
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return self.dataset |
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def _print_filter_logs(self, filtered_dataset, filter_name): |
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original_length = len(self.dataset) |
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filtered_length = len(filtered_dataset) |
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reduced_percent = round(100 * (original_length - filtered_length) / original_length, 2) |
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logger.info( |
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f'Filtered by {filter_name} on {self.column_name}:\n' |
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f'{reduced_percent}% = {original_length - filtered_length:,} samples reduced\n' |
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f'New dataset size: {filtered_length:,} rows' |
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) |
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if self.verbose: |
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utils.print_sample_dropped_examples(self.dataset, filtered_dataset, num_samples=10) |
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