Download .save/100k_sampling.py from Symato/cc: direct link, hf CLI and curl.
- Browser
- Download file 554 Bytes
-
https://huggingface.co/datasets/Symato/cc/resolve/refs%2Fpr%2F77458/.save/100k_sampling.py
- Command line
-
hf download hf://datasets/Symato/cc@refs/pr/77458/.save/100k_sampling.py
-
curl -L -o 100k_sampling.py https://huggingface.co/datasets/Symato/cc/resolve/refs%2Fpr%2F77458/.save/100k_sampling.py
554 Bytes
| import glob, sys, gzip, random, json | |
| dumps = glob.glob("CC-MAIN-*") | |
| for dump in dumps: | |
| print(dump) | |
| buckets = glob.glob(f"{dump}/CC-MAIN-*") | |
| for bucket in buckets: | |
| bucket = bucket.replace(f"{dump}/", f"{dump}_") | |
| bucket = bucket.replace("CC-MAIN-", "") | |
| with gzip.open(f"jsonl/{bucket}.jsonl.gz") as fin: | |
| count = 0 | |
| for line in fin: | |
| if random.randint(0, 90) < 3: | |
| count += 1 | |
| text = json.loads(line)["text"] | |
| ss = json.dumps({ "text" : text }, ensure_ascii = False) | |
| print(ss) | |
| if count == 1000: break |