super_tweeteval / process /unify_sp_symbol.py
asahi417's picture
init
fd016cb
raw
history blame
1.45 kB
import json
import re
from glob import glob
# for i in glob("data/tweet_intimacy/*.jsonl"):
# with open(i) as f:
# data = [json.loads(j) for j in f.readlines()]
# for d in data:
# for c in ['text']:
# tmp = d[c]
# tmp = re.sub(r"\bhttp\b", "{{URL}}", tmp)
# tmp = re.sub(r"@user", "{{USERNAME}}", tmp)
# tmp = re.sub(r"(@[\S]+)", r"{\1@}", tmp)
# d[c] = tmp
#
# with open(i, "w") as f:
# f.write("\n".join([json.dumps(j) for j in data]))
# for i in glob("data/tweet_qa/*.jsonl"):
# with open(i) as f:
# data = [json.loads(j) for j in f.readlines()]
# for d in data:
# for c in ['text', "paragraph", "question", "label_str"]:
# tmp = d[c]
# tmp = re.sub(r"(@[\S]+)", r"{\1@}", tmp)
# tmp = tmp.replace(")@}", '@})')
# d[c] = tmp
#
# with open(i, "w") as f:
# f.write("\n".join([json.dumps(j) for j in data]))
# for i in glob("data/tweet_similarity/*.jsonl"):
# with open(i) as f:
# data = [json.loads(j) for j in f.readlines()]
# for d in data:
# for c in ['text_1', "text_2"]:
# tmp = d[c]
# # tmp = re.sub(r"(@[\S]+)\b", r"{\1@}", tmp)
# tmp = tmp.replace("{@user@}", "{{USERNAME}}")
# d[c] = tmp
#
# with open(i, "w") as f:
# f.write("\n".join([json.dumps(j) for j in data]))