batched tokenization
Browse files- docbank.py +21 -8
docbank.py
CHANGED
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@@ -271,25 +271,38 @@ class Docbank(datasets.GeneratorBasedBuilder):
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tokens,
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boxes=bboxes,
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word_labels=labels,
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)
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#print(processed)
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for
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split_tokens =
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split_bboxes = processed['bbox'][
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# split_rgbs = rgbs[index:index + self.CHUNK_SIZE]
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# split_fonts = fonts[index:index + self.CHUNK_SIZE]
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split_labels = processed['labels'][
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#tokenized = self.TOKENIZER(processed['words'], boxes=processed['boxes'])
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yield key, {
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"id": f"{f_id}_{
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'input_ids': split_tokens,
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"bbox": split_bboxes,
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# "RGBs": split_rgbs,
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# "fonts": split_fonts,
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#"image": image,
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tokens,
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boxes=bboxes,
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word_labels=labels,
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padding=True,
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max_length=512,
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truncation=True,
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return_overflowing_tokens=True,
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return_offsets_mapping=True
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)
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#print(processed)
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for batch_id, batch in enumerate(processed['input_ids']):
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split_tokens = batch
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split_bboxes = processed['bbox'][batch_id]
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split_attention_mask = processed['attention_mask'][batch_id]
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split_offset_mapping = processed['offset_mapping'][batch_id]
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# split_rgbs = rgbs[index:index + self.CHUNK_SIZE]
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# split_fonts = fonts[index:index + self.CHUNK_SIZE]
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split_labels = processed['labels'][batch_id]
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# for chunk_id, index in enumerate(range(0, len(processed['input_ids']), self.CHUNK_SIZE)):
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# split_tokens = processed['input_ids'][index:index + self.CHUNK_SIZE]
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# split_bboxes = processed['bbox'][index:index + self.CHUNK_SIZE]
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# # split_rgbs = rgbs[index:index + self.CHUNK_SIZE]
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# # split_fonts = fonts[index:index + self.CHUNK_SIZE]
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# split_labels = processed['labels'][index:index + self.CHUNK_SIZE]
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#tokenized = self.TOKENIZER(processed['words'], boxes=processed['boxes'])
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yield key, {
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"id": f"{f_id}_{batch_id}",
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'input_ids': split_tokens,
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"bbox": split_bboxes,
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"attention_mask": split_attention_mask,
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"offset_mapping":split_offset_mapping,
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# "RGBs": split_rgbs,
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# "fonts": split_fonts,
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#"image": image,
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