| |
| """Build the fixed token sets every arm is scored on (PROTOCOL.md "Fixed inputs"). |
| |
| uv run --with transformers,pandas python build_eval_set.py --tok <BF16 repo dir> \ |
| --wikitext-test wikitext2-test.txt --c4-eval c4-validation.00001-of-00008.json.gz \ |
| --codeparrot file-000000000054.json.gz --out eval-set.json |
| |
| Output: {"ppl-wiki": [[ids]*40], "ppl-code": [[ids]*40], "kld": [[ids]*512], "meta": {...}}, all |
| 2048 tokens per window. The same ids go to every arm, so tokenizer drift can't enter the comparison. |
| Code windows come from the LAST 10 % of codeparrot docs (file order); quant_body.py calibrates on |
| the first 90 %. C4 eval uses validation shard 1; calibration used shard 0. |
| """ |
| import argparse, gzip, hashlib, json, random |
| from transformers import AutoTokenizer |
|
|
| ap = argparse.ArgumentParser() |
| ap.add_argument("--tok", required=True); ap.add_argument("--wikitext-test", required=True) |
| ap.add_argument("--c4-eval", required=True); ap.add_argument("--codeparrot", required=True) |
| ap.add_argument("--out", required=True) |
| ap.add_argument("--seqlen", type=int, default=2048) |
| a = ap.parse_args() |
| random.seed(608) |
| tok = AutoTokenizer.from_pretrained(a.tok) |
| L = a.seqlen |
|
|
|
|
| def windows(texts, n): |
| out, buf = [], [] |
| for t in texts: |
| buf += tok(t, add_special_tokens=False)["input_ids"] + [tok.eos_token_id] |
| while len(buf) >= L and len(out) < n: |
| out.append(buf[:L]); buf = buf[L:] |
| if len(out) >= n: |
| return out |
| raise SystemExit(f"only {len(out)} windows, wanted {n}") |
|
|
|
|
| wiki_ids = tok(open(a.wikitext_test, encoding="utf-8").read(), add_special_tokens=False)["input_ids"] |
| ppl_wiki = [wiki_ids[i * L:(i + 1) * L] for i in range(40)] |
|
|
| code_docs = [json.loads(l)["content"] for l in gzip.open(a.codeparrot, "rt")] |
| code_tail = code_docs[int(len(code_docs) * 0.9):] |
| random.shuffle(code_tail) |
| code_win = windows(code_tail, 256 + 40) |
| ppl_code, kld_code = code_win[:40], code_win[40:] |
|
|
| c4 = [json.loads(l)["text"] for l in gzip.open(a.c4_eval, "rt")] |
| random.shuffle(c4) |
| kld = windows(c4, 256) + kld_code |
|
|
| out = {"ppl-wiki": ppl_wiki, "ppl-code": ppl_code, "kld": kld} |
| blob = json.dumps(out, separators=(",", ":")).encode() |
| out["meta"] = {"seqlen": L, "seed": 608, "tokenizer": a.tok, "counts": {k: len(v) for k, v in out.items()}, |
| "sha256_ids": hashlib.sha256(blob).hexdigest(), "code_docs_total": len(code_docs), |
| "code_tail_from_index": int(len(code_docs) * 0.9)} |
| json.dump(out, open(a.out, "w"), separators=(",", ":")) |
| print(json.dumps(out["meta"], indent=1)) |
|
|
