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Upload scripts/build_v15_mix.py with huggingface_hub

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  1. scripts/build_v15_mix.py +87 -0
scripts/build_v15_mix.py ADDED
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+ import hashlib
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+ import json
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+ import random
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+
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+ random.seed(15)
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+
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+
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+ def fingerprint(row):
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+ state = row["state"] if isinstance(row["state"], str) else json.dumps(
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+ row["state"], sort_keys=True)
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+ questions = json.dumps(row["questions"], sort_keys=True)
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+ return hashlib.md5((state + questions).encode()).hexdigest()
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+
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+
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+ def load(path):
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+ try:
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+ with open(path, encoding="utf-8") as f:
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+ return [json.loads(line) for line in f]
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+ except FileNotFoundError:
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+ print("missing", path)
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+ return []
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+
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+
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+ spec = [("data/adjud_train.jsonl", 16000, 1),
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+ ("data/jb7_train.jsonl", 6000, 1),
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+ ("data/jb6_train.jsonl", 5000, 1),
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+ ("data/sft_v6.jsonl", 3000, 1),
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+ ("data/sft_v8b.jsonl", 2000, 1),
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+ ("data/hf4.jsonl", 4000, 1),
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+ ("data/hf3b.jsonl", 3000, 1),
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+ ("data/hf2b.jsonl", 3000, 1),
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+ ("data/hf5_bb.jsonl", 1500, 1),
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+ ("data/rl_sft_v9.jsonl", 1500, 1),
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+ ("data/sft_v9.jsonl", 1500, 1)]
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+
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+ seen = set()
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+ train = []
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+ for path, cap, copies in spec:
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+ rows = load(path)
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+ random.shuffle(rows)
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+ kept = 0
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+ for row in rows:
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+ h = fingerprint(row)
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+ if h in seen:
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+ continue
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+ seen.add(h)
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+ row["id"] = f"v15:{path.split('/')[-1]}:{kept}:{h[:8]}"
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+ train.append(row)
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+ kept += 1
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+ if kept >= cap:
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+ break
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+ print(path, kept)
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+
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+ rendered = load("data/adjud_rendered.jsonl")
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+ unique_rendered = {}
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+ for row in rendered:
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+ unique_rendered.setdefault(fingerprint(row), row)
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+ rendered = list(unique_rendered.values())
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+ random.shuffle(rendered)
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+ repeat = 8
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+ for rep in range(repeat):
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+ for i, row in enumerate(rendered):
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+ clone = dict(row)
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+ clone["id"] = f"v15:render:{rep}:{i}:{fingerprint(row)[:8]}"
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+ if clone.get("group_id"):
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+ clone["group_id"] = f"{clone['group_id']}-v15r{rep}"
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+ train.append(clone)
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+ print("rendered unique", len(rendered), "repeated", len(rendered) * repeat)
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+ random.shuffle(train)
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+ with open("data/v15_mix.jsonl", "w", encoding="utf-8") as f:
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+ for row in train:
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+ f.write(json.dumps(row, ensure_ascii=False) + "\n")
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+
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+ train_fps = {fingerprint(row) for row in train}
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+ dev, dev_seen = [], set()
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+ for path in ("data/adjud_dev.jsonl", "data/jb6_dev.jsonl", "data/jb7_dev.jsonl"):
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+ for row in load(path):
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+ h = fingerprint(row)
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+ if h in train_fps or h in dev_seen:
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+ continue
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+ dev_seen.add(h)
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+ row["id"] = f"v15dev:{path.split('/')[-1]}:{len(dev)}:{h[:8]}"
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+ dev.append(row)
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+ with open("data/v15_dev.jsonl", "w", encoding="utf-8") as f:
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+ for row in dev:
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+ f.write(json.dumps(row, ensure_ascii=False) + "\n")
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+ print("train", len(train), "dev", len(dev), "train/dev overlap", len(train_fps & dev_seen))