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DJCheng
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embedding_data

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embedding_data
File size: 3,147 Bytes 
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# src_files = [
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/arguana/mteb_ArguAna_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/climate-fever/mteb_ClimateFEVER_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/dbpedia/mteb_DBPedia_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/fever/mteb_FEVER_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/fiqa/mteb_FiQA2018_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/hotpotqa/mteb_HotpotQA_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/msmarco/mteb_MSMARCO_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/nfcorpus/mteb_NFCorpus_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/nq/mteb_NQ_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/quora/mteb_QuoraRetrieval_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/scidocs/mteb_SCIDOCS_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/scifact/mteb_SciFact_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/touche2020/mteb_Touche2020_en_Aug.jsonl",
#     "/etc/ssd1/dengjingcheng/general_embedding/mteb_all_data/retrieval/treccovid/mteb_TRECCOVID_en_Aug.jsonl"
# ]
from tqdm import tqdm
import json
from glob import glob
import os
import random

# dst_path = '/etc/ssd1/jiangzhongtao/baai_embedding_tune/data/all_collect/mteb-Retrieval_main-hn+aug'
# # 这里是把aug的数据拷贝过来，并采样
# for src_file in tqdm(src_files):
#     _, fname = os.path.split(src_file)
#     fname = fname.replace('_Aug', '')
#     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)
#         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()

# 这里是把main-hn和aug的数据合并，如果该数据不存在main-hn，则直接合并main的数据
mainhn_path = '/etc/ssd1/jiangzhongtao/baai_embedding_tune/data/all_collect/mteb-Retrieval_main-hn'
main_path = '/etc/ssd1/jiangzhongtao/baai_embedding_tune/data/all_collect/mteb-Retrieval_main'

for dst_file in tqdm(glob('/etc/ssd1/jiangzhongtao/baai_embedding_tune/data/all_collect/mteb-Retrieval_main-hn+aug/*.jsonl')):
    _, fname = os.path.split(dst_file)
    src_file = os.path.join(mainhn_path, fname)
    if not os.path.exists(src_file):
        src_file = os.path.join(main_path, fname)
    if os.path.exists(src_file):
        f_src = open(src_file, 'r')
        f_dst = open(dst_file, 'a')
        for line in f_src:
            f_dst.write(line)
        f_src.close()
        f_dst.close()