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