| import pandas as pd | |
| import json | |
| from tqdm import tqdm | |
| from datasets import load_dataset | |
| DEV_QREL_FILEPATH = "./qrels.miracl-v1.0-ja-dev.tsv" | |
| OUTPUT_FILEPATH = "./miracl-japanese-small-docs.jsonl" | |
| def extract_doc_ids(filepath): | |
| dev_qrel = pd.read_csv(filepath, delimiter='\t', | |
| names=['query_id', 'ph', 'doc_pas_id', 'rel']) | |
| doc_ids = set([int(dp_id.split('#')[0]) for dp_id in dev_qrel.doc_pas_id]) | |
| return doc_ids | |
| if __name__ == '__main__': | |
| dev_doc_ids = extract_doc_ids(DEV_QREL_FILEPATH) | |
| doc_ids = dev_doc_ids | |
| print("# of docids in dev", len(dev_doc_ids)) | |
| new_dataset = [] | |
| seen_doc_ids = set() | |
| dataset = load_dataset("miracl/miracl-corpus", "ja") | |
| for data in tqdm(dataset['train']): | |
| docid = int(data["docid"].split("#")[0]) | |
| if docid in doc_ids: | |
| new_dataset.append(data) | |
| with open(OUTPUT_FILEPATH, 'w', encoding='utf-8') as f: | |
| for data in new_dataset: | |
| f.write(json.dumps(data) + '\n') | |