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import argparse |
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import json |
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def get_args(): |
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parser = argparse.ArgumentParser(description="""Script for removing whitespace at the start of entity annotation |
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span in text. Label Studio marks additional whitespace at the start of entity, which do not belong to it |
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(usually newline). Phantom entities created by a model with only one newline char in front of real entity are removed. |
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Single non alphanumeric entities are removed too.""") |
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parser.add_argument("-s", "--source_file", required=True, help="Path to source Label Studio json annotations file.") |
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args = parser.parse_args() |
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return args |
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def save(annotations_file, annotations): |
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with open(annotations_file, "w", encoding='utf8') as f: |
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json.dump(annotations, f, indent=2, ensure_ascii=False) |
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print("Annotations were saved!") |
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def main(): |
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args = get_args() |
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print("Script for removing whitespace at the start of entity annotation span in text. " |
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"Script goes through page text files and their annotations json record. " |
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"Whitespace and quotes at the start of entity are removed and annotations are saved to the same file." |
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"Single non alphanumeric entities are removed too.") |
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with open(args.source_file, encoding="utf-8") as f: |
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annotations = json.load(f) |
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short_count = 0 |
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rem_count = 0 |
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total_entities = 0 |
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for i, page in enumerate(annotations): |
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page_text_path = annotations[i]["text"].replace( |
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"http://localhost:8081", "../../../datasets/poner1.0/data") |
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with open(page_text_path, encoding="utf-8") as p_f: |
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page_text = p_f.read() |
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for j, n_entity in enumerate(page["ner"]): |
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n_entity_text = page_text[n_entity["start"]:n_entity["end"]] |
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if n_entity_text[0].isspace(): |
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if len(n_entity_text) == 1: |
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rem_count += 1 |
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annotations[i]["ner"].pop(j) |
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else: |
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short_count += 1 |
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annotations[i]["ner"][j]["start"] += 1 |
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if len(n_entity_text) == 1 and not n_entity_text.isalnum(): |
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rem_count += 1 |
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annotations[i]["ner"].pop(j) |
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if n_entity_text[0] == "„": |
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short_count += 1 |
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annotations[i]["ner"][j]["start"] += 1 |
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total_entities += len(annotations[i]["ner"]) |
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save(args.source_file, annotations) |
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average_entities = total_entities / len(annotations) |
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print(f"All pages were processed! Num corrected entities: {short_count}, num removed phantom entities: {rem_count}" |
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f"\nAverage entities in 1 page: {average_entities}, Total entities: {total_entities}") |
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if __name__ == '__main__': |
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main() |
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