- README with full pipeline plan (tokenizer -> data -> model -> training -> eval) - pip/venv setup pinned to torch 2.13.0, numpy 2.5.1 (Python 3.13) - scripts/download_data.py: one-time TinyStoriesV2 fetch with SHA-256 recording - scripts/check_mps.py: verifies MPS backend, backward pass, GPU speedup
72 lines
2.1 KiB
Python
72 lines
2.1 KiB
Python
"""One-time download of the TinyStoriesV2 corpus.
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This is the only network access in the entire project. Files land in
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data/raw/ (gitignored). SHA-256 hashes are recorded in data/raw/SHA256SUMS
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so the corpus can be verified later without re-downloading.
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Usage: python scripts/download_data.py
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"""
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import hashlib
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import urllib.request
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from pathlib import Path
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BASE_URL = "https://huggingface.co/datasets/roneneldan/TinyStories/resolve/main"
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FILES = [
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"TinyStoriesV2-GPT4-train.txt", # ~2.2 GB
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"TinyStoriesV2-GPT4-valid.txt", # ~22 MB
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]
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RAW_DIR = Path(__file__).resolve().parent.parent / "data" / "raw"
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CHUNK = 1 << 20 # 1 MB
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def download(name: str) -> Path:
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dest = RAW_DIR / name
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if dest.exists():
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print(f"{name}: already present, skipping download")
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return dest
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tmp = dest.with_suffix(dest.suffix + ".part")
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url = f"{BASE_URL}/{name}"
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print(f"{name}: downloading")
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with urllib.request.urlopen(url) as response, open(tmp, "wb") as f:
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total = int(response.headers.get("Content-Length") or 0)
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done = 0
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while chunk := response.read(CHUNK):
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f.write(chunk)
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done += len(chunk)
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if total:
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print(
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f"\r {done / 1e6:,.0f} / {total / 1e6:,.0f} MB"
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f" ({done * 100 // total}%)",
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end="",
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flush=True,
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)
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print()
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tmp.rename(dest) # only a fully written file ever gets the real name
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return dest
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def sha256(path: Path) -> str:
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h = hashlib.sha256()
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with open(path, "rb") as f:
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while chunk := f.read(CHUNK):
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h.update(chunk)
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return h.hexdigest()
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def main() -> None:
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RAW_DIR.mkdir(parents=True, exist_ok=True)
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lines = []
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for name in FILES:
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path = download(name)
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digest = sha256(path)
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print(f"{name}: {path.stat().st_size / 1e6:,.0f} MB sha256={digest}")
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lines.append(f"{digest} {name}\n")
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sums = RAW_DIR / "SHA256SUMS"
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sums.write_text("".join(lines))
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print(f"hashes recorded in {sums}")
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if __name__ == "__main__":
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main()
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