KAWK50M-Project / runpod /stream_v2_20b.sh
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#!/usr/bin/env bash
set -euo pipefail
PROJECT_DIR="${PROJECT_DIR:-/workspace/KAWK50M}"
OUTPUT_ROOT="${OUTPUT_ROOT:-data/tokenized-v2-20b/stream}"
INITIAL_MANIFEST="${INITIAL_MANIFEST:-data/tokenized-v2-20b/initial/manifest.json}"
TOKENIZER_DIR="${TOKENIZER_DIR:-artifacts/tokenizer-20k-v3}"
REVISION="${REVISION:-af9c13333eb981300149d5ca60a8e9d659b276b9}"
TARGET_TOKENS="${TARGET_TOKENS:-20000000000}"
DATASET_SHARDS="${DATASET_SHARDS:-4}"
SKIP_PER_SHARD="${SKIP_PER_SHARD:-1625000}"
FILTER_WORKERS_PER_STREAM="${FILTER_WORKERS_PER_STREAM:-4}"
RESUME="${RESUME:-0}"
cd "${PROJECT_DIR}"
source "${PROJECT_DIR}/.venv/bin/activate"
ulimit -c 0
if [[ ! -f "${INITIAL_MANIFEST}" ]]; then
echo "Initial token manifest is missing: ${INITIAL_MANIFEST}" >&2
exit 1
fi
if [[ -e "${OUTPUT_ROOT}" && "${RESUME}" != "1" ]]; then
echo "Refusing to overwrite existing stream output: ${OUTPUT_ROOT}" >&2
exit 1
fi
mkdir -p "${OUTPUT_ROOT}"
read -r initial_tokens tokens_per_worker < <(
python - "${INITIAL_MANIFEST}" "${TARGET_TOKENS}" "${DATASET_SHARDS}" <<'PY'
import json
import math
import sys
initial = int(json.load(open(sys.argv[1], encoding="utf-8"))["tokens"])
target = int(sys.argv[2])
workers = int(sys.argv[3])
remaining = target - initial
if remaining <= 0:
raise SystemExit("Initial corpus already reaches the target")
print(initial, math.ceil(remaining / workers))
PY
)
echo "initial_tokens=${initial_tokens} tokens_per_stream=${tokens_per_worker}"
pids=()
for ((worker = 0; worker < DATASET_SHARDS; worker++)); do
worker_dir="${OUTPUT_ROOT}/part-$(printf '%02d' "${worker}")"
worker_log="/workspace/kawk-v2-stream-20b-worker-$(printf '%02d' "${worker}").log"
resume_args=()
if [[ -e "${worker_dir}" ]]; then
if [[ "${RESUME}" != "1" || ! -f "${worker_dir}/state.json" ]]; then
echo "Worker output exists without a resumable state: ${worker_dir}" >&2
exit 1
fi
resume_args+=(--resume)
fi
python -u -m scripts.stream_tokenize_fineweb2 \
--revision "${REVISION}" \
--tokenizer-dir "${TOKENIZER_DIR}" \
--output-dir "${worker_dir}" \
--dataset-num-shards "${DATASET_SHARDS}" \
--dataset-shard-index "${worker}" \
--skip-documents "${SKIP_PER_SHARD}" \
--max-output-tokens "${tokens_per_worker}" \
--tokens-per-chunk 250000000 \
--shuffle-buffer 10000 \
--seed "$((42 + worker))" \
--workers "${FILTER_WORKERS_PER_STREAM}" \
--worker-batch-size 64 \
--tokenize-batch-size 512 \
"${resume_args[@]}" \
> "${worker_log}" 2>&1 &
pids+=("$!")
echo "worker=${worker} pid=${pids[-1]} log=${worker_log}"
done
status=0
for pid in "${pids[@]}"; do
if ! wait "${pid}"; then
status=1
fi
done
if (( status != 0 )); then
echo "At least one stream-tokenization worker failed." >&2
exit "${status}"
fi
python - "${INITIAL_MANIFEST}" "${OUTPUT_ROOT}" "${TARGET_TOKENS}" <<'PY'
from __future__ import annotations
import json
import sys
from pathlib import Path
initial_manifest = Path(sys.argv[1])
output_root = Path(sys.argv[2])
target = int(sys.argv[3])
initial = json.loads(initial_manifest.read_text(encoding="utf-8"))
states = [
json.loads(path.read_text(encoding="utf-8"))
for path in sorted(output_root.glob("part-*/state.json"))
]
summary = {
"initial_tokens": int(initial["tokens"]),
"stream_workers": len(states),
"stream_tokens": sum(int(state["tokens_written"]) for state in states),
"total_tokens": int(initial["tokens"])
+ sum(int(state["tokens_written"]) for state in states),
"complete": bool(states) and all(bool(state["complete"]) for state in states),
"revision": sorted({state["revision"] for state in states}),
}
if not summary["complete"] or summary["total_tokens"] < target:
raise SystemExit(f"Incomplete 20B stream: {summary}")
(output_root.parent / "manifest.json").write_text(
json.dumps(summary, ensure_ascii=False, indent=2) + "\n",
encoding="utf-8",
)
print(json.dumps(summary, ensure_ascii=False, indent=2))
PY
python -m scripts.preflight --config configs/pretrain_v2_20b_5090.yaml
echo "KAWK50M v2 20B token corpus complete."