#!/usr/bin/env python3 """Stage 3: build the final Medium (25,000) and Large (65,000) files. * per stream: the first N VALID rows by plan rank -> Large; the first M of those -> Medium (so Medium is nested in Large) * Small's 15,000 rows come straight from its raw file (unchanged) and sit in every tier; Small's own validation rows stay validation * new rows are validation with probability 8% by id hash (same share as Small); everything else is train * rows are sharded by id hash, then each shard is shuffled so every shard mixes all sources Outputs (plain JSONL, {"messages": [...]} per line, like Small): out//train-0000i-of-0000N.jsonl, valid.jsonl, row_index.csv, stats.json""" import csv, gzip, hashlib, json, os, random, re, shutil, sys, time, collections import huggingface_hub as hf sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) from common import * t0 = time.time() plan = json.load(open(os.path.join(SCRATCH, "plan.json"))) small = json.load(open(os.path.join(HERE, "..", "scan", "small_ids.json"))) small_valid = set(small["valid_ids"]) head = re.compile(r'^\{"rk": (\d+), "id": "((?:[^"\\]|\\.)*)"') STAGE = os.path.join(SCRATCH, "stage"); shutil.rmtree(STAGE, ignore_errors=True); os.makedirs(STAGE) shutil.rmtree(OUTDIR, ignore_errors=True) # ---- pass 1: which new rows does each tier take? --------------------------------------------------------------------------------- sel = {} # id -> (stream, in_medium) for stream, s in plan["streams"].items(): fn = os.path.join(SCRATCH, "rows_" + stream.replace("/", "_").replace(":", "_") + ".jsonl.gz") ranks = [] with gzip.open(fn, "rt", encoding="utf-8") as f: for line in f: m = head.match(line[:300]); ranks.append((int(m.group(1)), json.loads('"' + m.group(2) + '"'))) ranks.sort() assert len(ranks) >= s["new_large"], (stream, len(ranks), s["new_large"]) for i, (_, rid) in enumerate(ranks[: s["new_large"]]): assert rid not in sel sel[rid] = (stream, i < s["new_medium"]) print(f"selected {len(sel)} new rows (medium-new {sum(1 for v in sel.values() if v[1])}) {time.time()-t0:.0f}s", flush=True) # ---- writers --------------------------------------------------------------------------------------------------------------------- W, INDEX = {}, {"medium": [], "large": []} def w(tier, name): k = (tier, name) if k not in W: os.makedirs(os.path.join(STAGE, tier), exist_ok=True) W[k] = gzip.open(os.path.join(STAGE, tier, name + ".jsonl.gz"), "wt", encoding="utf-8", compresslevel=3) return W[k] def emit(rid, source_key, msgs, valid, in_small, in_medium): line = json.dumps({"messages": msgs}, ensure_ascii=False) + "\n" for tier in (("medium", "large") if in_medium else ("large",)): name = "valid" if valid else f"train_{shard_of(rid, N_TRAIN_SHARDS[tier])}" w(tier, name).write(line) INDEX[tier].append((rid, source_key, "valid" if valid else "train", int(in_small))) # ---- pass 2a: Small's rows, untouched --------------------------------------------------------------------------------------------- rp = hf.hf_hub_download("VertexAGI/cyberdata-1", "raw_examples.jsonl", repo_type="dataset") n_small = 0 for line in open(rp, encoding="utf-8"): r = json.loads(line) emit(r["id"], SRC_KEY[r["source"]], r["messages"], r["id"] in small_valid, True, True) n_small += 1 for p in {rp, os.path.realpath(rp)}: try: os.remove(p) except OSError: pass assert n_small == 15000 print(f"small rows written {n_small} {time.time()-t0:.0f}s", flush=True) # ---- pass 2b: the new rows -------------------------------------------------------------------------------------------------------- seen = collections.Counter() for stream in plan["streams"]: fn = os.path.join(SCRATCH, "rows_" + stream.replace("/", "_").replace(":", "_") + ".jsonl.gz") with gzip.open(fn, "rt", encoding="utf-8") as f: for line in f: m = head.match(line[:300]); rid = json.loads('"' + m.group(2) + '"') if rid not in sel or seen[rid]: continue seen[rid] = 1 r = json.loads(line) emit(rid, SRC_KEY[r["source"]], r["messages"], is_valid_new(rid), False, sel[rid][1]) assert len(seen) == len(sel), (len(seen), len(sel)) for h in W.values(): h.close() print(f"new rows written {len(seen)} {time.time()-t0:.0f}s", flush=True) # ---- pass 3: shuffle each shard, write plain files + index + stats ------------------------------------------------------------------ stats = {} for tier in ("medium", "large"): od = os.path.join(OUTDIR, tier); os.makedirs(od) nshard = N_TRAIN_SHARDS[tier]; total = {"train": 0, "valid": 0}; bytes_ = 0 for k in list(range(nshard)) + ["valid"]: name = "valid" if k == "valid" else f"train_{k}" with gzip.open(os.path.join(STAGE, tier, name + ".jsonl.gz"), "rt", encoding="utf-8") as f: lines = f.readlines() random.Random(f"{SALT}{tier}:{name}").shuffle(lines) out = os.path.join(od, "valid.jsonl" if k == "valid" else f"train-{k:05d}-of-{nshard:05d}.jsonl") with open(out, "w", encoding="utf-8") as g: g.writelines(lines) total["valid" if k == "valid" else "train"] += len(lines); bytes_ += os.path.getsize(out) os.remove(os.path.join(STAGE, tier, name + ".jsonl.gz")) with open(os.path.join(od, "row_index.csv"), "w", newline="") as f: cw = csv.writer(f); cw.writerow(["id", "source", "split", "in_small"]); cw.writerows(sorted(INDEX[tier])) by_src = collections.Counter(r[1] for r in INDEX[tier]); by_split = collections.Counter((r[1], r[2]) for r in INDEX[tier]) stats[tier] = {"rows": len(INDEX[tier]), "train": total["train"], "valid": total["valid"], "bytes": bytes_, "by_source": dict(by_src), "by_source_split": {f"{a}/{b}": v for (a, b), v in by_split.items()}, "unique_ids": len({r[0] for r in INDEX[tier]})} print(tier, {k: v for k, v in stats[tier].items() if k not in ("by_source_split",)}, flush=True) json.dump(stats[tier], open(os.path.join(od, "stats.json"), "w"), indent=1) shutil.rmtree(STAGE, ignore_errors=True) print("ASSEMBLE_DONE", f"{time.time()-t0:.0f}s")