llama-cpp-bench / make_hellaswag_subset.py
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#!/usr/bin/env python3
"""Extract a seeded-random 400-task subset of HellaSwag matching GPTQModel's selection."""
import random
import sys
from pathlib import Path
SEED = 1
N_SAMPLES = 400
LINES_PER_TASK = 6
def main():
root = Path(__file__).resolve().parent.parent
full_path = root / "hellaswag_val_full.txt"
out_path = root / "hellaswag_val_400.txt"
lines = full_path.read_text().splitlines()
n_tasks = len(lines) // LINES_PER_TASK
indices = list(range(n_tasks))
rng = random.Random(SEED)
rng.shuffle(indices)
selected = indices[:N_SAMPLES]
with open(out_path, "w") as f:
for idx in selected:
start = idx * LINES_PER_TASK
for line in lines[start:start + LINES_PER_TASK]:
f.write(line + "\n")
print(f"Wrote {N_SAMPLES} tasks to {out_path}")
if __name__ == "__main__":
main()