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src_files = '''
/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/treccovid/mteb_TRECCOVID_en_hn.jsonl
/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/fiqa/mteb_FiQA2018_en_hn.jsonl
/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/nfcorpus/mteb_NFCorpus_en_hn.jsonl
/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/scifact/mteb_SciFact_en_hn.jsonl
/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/fever/mteb_FEVER_en_hn.jsonl
/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/dbpedia/mteb_DBPedia_en_hn.jsonl
/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/hotpotqa/mteb_HotpotQA_en_hn.jsonl
/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/msmarco/mteb_MSMARCO_en_hn.jsonl
'''
src_files = src_files.strip().split('\n')
from tqdm import tqdm
import json
import os
import random
dst_path = '/etc/ssd1/jiangzhongtao/baai_embedding_tune/data/all_collect/mteb-Retrieval_hn'
for src_file in tqdm(src_files):
_, fname = os.path.split(src_file)
fname = fname.replace('_hn', '')
dst_file = os.path.join(dst_path, fname)
src_f = open(src_file, 'r')
dst_f = open(dst_file, 'w')
for line in src_f:
line = json.loads(line)
assert isinstance(line['neg'], list)
if len(line['neg']) != 1:
line['neg'] = random.sample(line['neg'][30:210], k=10)
del line['sims']
dst_f.write(json.dumps(line, ensure_ascii=False) + '\n')
src_f.close()
dst_f.close() |