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| #!/usr/bin/env python3 | |
| """merge_expanded.py — GoLLeM-v5 expanded-corpus merge (crown-run data, 16M@expanded). | |
| Concat (canonical uint16-LE, EOS=12285): | |
| corpus train.bin (5,396,605,407 tok) | |
| + fineweb_edu_clean.bin MINUS 42,846 overlap-docs (byte-range-skip) = 2,756,248,149 tok | |
| + openstax_clean.bin x OS_REPEAT (35,185,551 tok x4 = 140,742,204 tok) | |
| = expanded-train.bin ~8,293,595,760 tok (16.59 GB) | |
| Dataloader = random-offset (train_gpt_ref.py get_batch: torch.randint over whole train.bin) | |
| -> concat-order IRRELEVANT, NO doc-shuffle needed. Verified 2026-09-22. | |
| Overlap byte-ranges from fineweb_overlap_docs.jsonl (bin_byte_start/end, token-aligned; | |
| embedded-EOS doc fineweb-edu:1662841 already merged into one range). | |
| NIE dotyka val.bin (held-out, unchanged). NIE GPU. | |
| """ | |
| import argparse, json, os, time | |
| BPT = 2 # bytes/token (uint16) | |
| def log(m): print(f"[{time.strftime('%H:%M:%S')}] {m}", flush=True) | |
| def load_overlap_ranges(jsonl): | |
| ranges = [] | |
| with open(jsonl, encoding="utf-8") as f: | |
| for line in f: | |
| line = line.strip() | |
| if not line: | |
| continue | |
| d = json.loads(line) | |
| if "_meta" in d or "bin_byte_start" not in d: | |
| continue | |
| ranges.append((int(d["bin_byte_start"]), int(d["bin_byte_end"]))) | |
| ranges.sort() | |
| merged = [] | |
| for s, e in ranges: | |
| if merged and s <= merged[-1][1]: | |
| merged[-1] = (merged[-1][0], max(merged[-1][1], e)) | |
| else: | |
| merged.append((s, e)) | |
| return merged | |
| def copy_whole(src, out, buf=64 * 1024 * 1024): | |
| n = 0 | |
| with open(src, "rb") as f: | |
| while True: | |
| b = f.read(buf) | |
| if not b: | |
| break | |
| out.write(b); n += len(b) | |
| return n | |
| def copy_skip(src, out, skip_ranges, buf=64 * 1024 * 1024): | |
| written = 0; pos = 0 | |
| size = os.path.getsize(src) | |
| with open(src, "rb") as f: | |
| for s, e in skip_ranges: | |
| while pos < s: | |
| b = f.read(min(buf, s - pos)) | |
| if not b: | |
| break | |
| out.write(b); written += len(b); pos += len(b) | |
| f.seek(e); pos = e | |
| while pos < size: | |
| b = f.read(buf) | |
| if not b: | |
| break | |
| out.write(b); written += len(b); pos += len(b) | |
| return written | |
| def main(): | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument("--corpus", required=True) | |
| ap.add_argument("--fineweb", required=True) | |
| ap.add_argument("--openstax", required=True) | |
| ap.add_argument("--overlap", required=True) | |
| ap.add_argument("--out", required=True) | |
| ap.add_argument("--os-repeat", type=int, default=4) | |
| a = ap.parse_args() | |
| skip = load_overlap_ranges(a.overlap) | |
| skip_bytes = sum(e - s for s, e in skip) | |
| log(f"overlap ranges={len(skip)} skip_bytes={skip_bytes:,} (={skip_bytes // BPT:,} tok)") | |
| assert skip_bytes // BPT == 57241804, f"overlap tokens {skip_bytes // BPT} != 57,241,804 expected" | |
| t0 = time.time() | |
| with open(a.out, "wb", buffering=64 * 1024 * 1024) as out: | |
| n_corpus = copy_whole(a.corpus, out) | |
| log(f"corpus {n_corpus:,}B ({n_corpus // BPT:,} tok) {time.time() - t0:.0f}s") | |
| n_fw = copy_skip(a.fineweb, out, skip) | |
| log(f"fineweb-dedup {n_fw:,}B ({n_fw // BPT:,} tok) {time.time() - t0:.0f}s") | |
| n_os = 0 | |
| for r in range(a.os_repeat): | |
| n = copy_whole(a.openstax, out); n_os += n | |
| log(f"openstax {r + 1}/{a.os_repeat} {n:,}B {time.time() - t0:.0f}s") | |
| total = n_corpus + n_fw + n_os | |
| exp_fw = os.path.getsize(a.fineweb) - skip_bytes | |
| assert n_fw == exp_fw, f"fineweb mismatch {n_fw} != {exp_fw}" | |
| assert n_corpus // BPT == 5396605407, f"corpus tok {n_corpus // BPT} != 5,396,605,407" | |
| assert n_fw // BPT == 2756248149, f"fineweb-dedup tok {n_fw // BPT} != 2,756,248,149" | |
| log(f"VALIDATION OK: corpus={n_corpus // BPT:,} fineweb_dedup={n_fw // BPT:,} " | |
| f"openstax_x{a.os_repeat}={n_os // BPT:,} TOTAL={total // BPT:,} tok ({total:,}B)") | |
| log(f"DONE -> {a.out}") | |
| if __name__ == "__main__": | |
| main() | |