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c2bf4b6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 | """
Fetch additional training shards from karpathy/climbmix-400b-shuffle.
The repo already has ~500 shards (~31B tokens). This script is a
resumable, parallel downloader for cases where more shards are needed
(e.g., multi-day training, experiments requiring fresh-unseen data,
or when we want to split the corpus across processes).
Usage:
# Fetch shards up to index 600 (total cap)
python scripts/fetch_corpus.py --target-shards 600
# Fetch a specific range
python scripts/fetch_corpus.py --start 500 --end 800
# Dry-run (list what would be downloaded)
python scripts/fetch_corpus.py --target-shards 600 --dry-run
Notes:
- Safe to run while training is active; only writes files not touched
by the training process.
- Resumable: skips shards already on disk.
- Downloads to the same DATA_DIR used by prepare.py so they're picked
up on next training launch.
"""
from __future__ import annotations
import argparse
import os
import shutil
import sys
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
from pathlib import Path
import requests
REPO_ROOT = Path(__file__).resolve().parent.parent
sys.path.insert(0, str(REPO_ROOT))
from prepare import BASE_URL, DATA_DIR, MAX_SHARD, VAL_SHARD # noqa: E402
def human_bytes(n: int) -> str:
for unit in ("B", "KB", "MB", "GB", "TB"):
if n < 1024:
return f"{n:.1f}{unit}"
n /= 1024
return f"{n:.1f}PB"
def download_one(
index: int, data_dir: str, timeout: int = 30, max_attempts: int = 5
) -> tuple[int, bool, int, str]:
"""
Download a single parquet shard. Resumable + retry with exponential backoff.
Returns (index, success, bytes_written, message).
"""
filename = f"shard_{index:05d}.parquet"
filepath = os.path.join(data_dir, filename)
tmp_path = filepath + ".tmp"
if os.path.exists(filepath):
return index, True, 0, "already-present"
url = f"{BASE_URL}/{filename}"
for attempt in range(1, max_attempts + 1):
try:
with requests.get(url, stream=True, timeout=timeout) as r:
r.raise_for_status()
bytes_written = 0
with open(tmp_path, "wb") as f:
for chunk in r.iter_content(chunk_size=1 << 20):
if chunk:
f.write(chunk)
bytes_written += len(chunk)
os.rename(tmp_path, filepath)
return index, True, bytes_written, f"ok (attempt {attempt})"
except (requests.RequestException, OSError) as e:
# Clean up partial file.
for p in (tmp_path, filepath):
if os.path.exists(p):
try:
os.remove(p)
except OSError:
pass
if attempt < max_attempts:
wait = 2 ** attempt
time.sleep(wait)
continue
return index, False, 0, f"failed after {max_attempts} attempts: {e}"
return index, False, 0, "unknown failure"
def check_disk_space(required_bytes: int, data_dir: str) -> tuple[bool, int]:
"""Ensure we have at least required_bytes + 10% headroom free."""
os.makedirs(data_dir, exist_ok=True)
stats = shutil.disk_usage(data_dir)
headroom = int(required_bytes * 1.1)
return stats.free >= headroom, stats.free
def main() -> int:
parser = argparse.ArgumentParser(
description="Fetch additional climbmix-400b-shuffle shards"
)
parser.add_argument(
"--target-shards",
type=int,
default=None,
help="Total train-shard count to reach (0..target-1). Mutually exclusive with --start/--end.",
)
parser.add_argument("--start", type=int, default=None, help="Starting shard index (inclusive)")
parser.add_argument("--end", type=int, default=None, help="Ending shard index (exclusive)")
parser.add_argument("--workers", type=int, default=8, help="Parallel download workers")
parser.add_argument(
"--include-val",
action="store_true",
help="Also fetch the pinned validation shard (normally present already)",
)
parser.add_argument(
"--dry-run",
action="store_true",
help="List what would be downloaded without fetching",
)
args = parser.parse_args()
# Resolve shard range.
if args.target_shards is not None:
if args.start is not None or args.end is not None:
print("ERROR: --target-shards is exclusive with --start/--end")
return 1
ids = list(range(min(args.target_shards, MAX_SHARD)))
else:
start = args.start or 0
end = args.end if args.end is not None else MAX_SHARD
end = min(end, MAX_SHARD)
ids = list(range(start, end))
if args.include_val and VAL_SHARD not in ids:
ids.append(VAL_SHARD)
os.makedirs(DATA_DIR, exist_ok=True)
present = set()
for p in Path(DATA_DIR).glob("shard_*.parquet"):
try:
idx = int(p.stem.split("_")[1])
present.add(idx)
except (IndexError, ValueError):
continue
to_fetch = [i for i in ids if i not in present]
if not to_fetch:
print(f"All {len(ids)} shards already present at {DATA_DIR}")
return 0
# Estimate space: shards are ~88MB; leave 10% headroom.
avg_shard_bytes = 90 * (1 << 20) # 90MB
required = avg_shard_bytes * len(to_fetch)
ok, free = check_disk_space(required, DATA_DIR)
print(f"Plan: fetch {len(to_fetch)} shards (~{human_bytes(required)}); "
f"disk free: {human_bytes(free)}")
if not ok:
print("ERROR: insufficient disk space (need 1.1x required)")
return 2
if args.dry_run:
preview = to_fetch[:10]
print(
f"Dry-run — would fetch {len(to_fetch)} shards. First {len(preview)}: {preview}"
)
return 0
print(f"Downloading {len(to_fetch)} shards with {args.workers} workers...")
t_start = time.time()
success = 0
failed = 0
total_bytes = 0
with ThreadPoolExecutor(max_workers=args.workers) as ex:
futs = {ex.submit(download_one, i, DATA_DIR): i for i in to_fetch}
for fut in as_completed(futs):
idx, ok, nbytes, msg = fut.result()
if ok:
success += 1
total_bytes += nbytes
if success % 10 == 0 or success == len(to_fetch):
elapsed = time.time() - t_start
rate = total_bytes / max(elapsed, 1)
print(
f" [{success}/{len(to_fetch)}] shard_{idx:05d} ok "
f"({human_bytes(total_bytes)} @ {human_bytes(int(rate))}/s)"
)
else:
failed += 1
print(f" [FAIL] shard_{idx:05d}: {msg}")
elapsed = time.time() - t_start
print()
print("=" * 60)
print(f"Downloaded {success}/{len(to_fetch)} shards in {elapsed:.1f}s")
print(f"Failed: {failed}")
print(f"Total bytes: {human_bytes(total_bytes)}")
print("=" * 60)
return 0 if failed == 0 else 3
if __name__ == "__main__":
raise SystemExit(main())
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