Add thesaurus task1: selectivity (indicator 3), grouping master table, data-scaling de-bias, full scripts (qwen3_1b full 20000)
6cca5e1 verified | #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| """把 inference_sentences_*.json 切成 chunk_{i}.json (每块 chunk_size 句), 供分块 analysis. | |
| 用法: split_sentences.py <inference_file> <outdir> <chunk_size>""" | |
| import json, sys | |
| from pathlib import Path | |
| def main(infile, outdir, chunk_size): | |
| d = json.loads(Path(infile).read_text(encoding="utf-8")) | |
| sents = d["sentences"] | |
| outdir = Path(outdir); outdir.mkdir(parents=True, exist_ok=True) | |
| meta = {k: v for k, v in d.items() if k != "sentences"} | |
| n = 0 | |
| for i in range(0, len(sents), chunk_size): | |
| chunk = sents[i:i + chunk_size] | |
| out = dict(meta); out["sentences"] = chunk; out["num_sentences"] = len(chunk) | |
| (outdir / f"chunk_{n:03d}.json").write_text( | |
| json.dumps(out, ensure_ascii=False, separators=(",", ":")), encoding="utf-8") | |
| n += 1 | |
| print(f"split {len(sents)} sentences -> {n} chunks of {chunk_size} in {outdir}", flush=True) | |
| if __name__ == "__main__": | |
| main(sys.argv[1], sys.argv[2], int(sys.argv[3])) | |