Datasets:
Download scripts/labeling/fix_todo.py from LegumMagister/chsm8-post-training: direct link, hf CLI and curl.
- Browser
- Download file 1.18 kB
-
https://huggingface.co/datasets/LegumMagister/chsm8-post-training/resolve/main/scripts/labeling/fix_todo.py
- Command line
-
hf download hf://datasets/LegumMagister/chsm8-post-training/scripts/labeling/fix_todo.py
-
curl -L -o fix_todo.py https://huggingface.co/datasets/LegumMagister/chsm8-post-training/resolve/main/scripts/labeling/fix_todo.py
1.18 kB
| #!/usr/bin/env python3 | |
| """CPU: collect the records still failing the rule check after repair -> data/fix_todo.jsonl | |
| ({key, user, labels, src, bad}), the small index the fix loop (fix_loop.py) works on.""" | |
| import json | |
| import sys | |
| from multiprocessing import Pool | |
| I = "/iopsstor/scratch/cscs/ibadanin/projects/llm_chess/" | |
| def one(line): | |
| t = line.strip().split("|") | |
| bad = {} | |
| for l in open(t[-1]): | |
| r = json.loads(l) | |
| if r["bad_after"]: | |
| bad[r["key"]] = r | |
| out = [] | |
| for l in open(t[0]): | |
| if bad: | |
| u = json.loads(l) | |
| r = bad.pop(u["key"], None) | |
| if r: | |
| out.append(json.dumps({"key": r["key"], "user": u["user"], "labels": r["labels"], "src": r["src"], | |
| "bad": r["bad_after"]})) | |
| return out | |
| if __name__ == "__main__": | |
| tasks = [l for l in open(I + "data/repair_manifest.txt") if l.strip()] | |
| n = 0 | |
| with open(I + "data/fix_todo.jsonl", "w") as fo, Pool(48) as p: | |
| for out in p.imap_unordered(one, tasks): | |
| for s in out: | |
| fo.write(s + "\n") | |
| n += len(out) | |
| print("todo", n, file=sys.stderr) | |