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from datasets import GeneratorBasedBuilder, DatasetInfo, SplitGenerator, DownloadManager |
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from typing import Any, Dict, List, Tuple |
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import os |
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import json |
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class ProcessedImageDataset(GeneratorBasedBuilder): |
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VERSION = "1.0.0" |
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def _info(self) -> DatasetInfo: |
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return DatasetInfo( |
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features=self._features(), |
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supervised_keys=("image", "text"), |
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) |
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def _features(self): |
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from datasets import Features, Image, Value |
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return Features({"image_file": Image(), "text": Value("string")}) |
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def _split_generators(self, dl_manager) -> List[SplitGenerator]: |
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print(self.config.data_dir) |
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if self.config.data_dir is None: |
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raise ValueError(f'Data directory unspecified. Correct usage is: load_dataset(script_path, data_dir=data_dir_path)') |
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return [SplitGenerator(name="train", gen_kwargs={"data_dir": self.config.data_dir})] |
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def _generate_examples(self, data_dir): |
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metadata_file_path = os.path.join(data_dir, "metadata.jsonl") |
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metadata = {} |
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with open(metadata_file_path, "r") as f: |
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for line in f: |
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item = json.loads(line) |
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metadata[item["file_name"]] = item |
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for filename in os.listdir(data_dir): |
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if filename.endswith(".png") or filename.endswith(".jpg") or filename.endswith(".jpeg"): |
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if filename in metadata: |
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metadata_entry = metadata[filename] |
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yield filename, { |
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"image_file": os.path.join(data_dir, filename), |
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"text": metadata_entry["text"], |
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} |
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