Datasets:
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087e062 | 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 | """Create deterministic 600-example GenomeQA subsets balanced by subtask."""
import argparse
import random
from collections import Counter
from pathlib import Path
from datasets import load_dataset
DATASET_ID = "HuggingFaceBio/genomeqa"
SOURCE_REVISION = "a71ab7e0e72b8eca7acd4475744dccd0159b20be"
SOURCE_CONFIGS = ("binary", "mcq")
SAMPLES_PER_SUBTASK = 100
SEED = 42
def create_subset(config: str, output_dir: Path, seed: int) -> None:
dataset = load_dataset(DATASET_ID, config, split="train", revision=SOURCE_REVISION)
subtasks = sorted(set(dataset["subtask"]))
rng = random.Random(f"{seed}:{config}")
selected_indices = []
for subtask in subtasks:
candidate_indices = [index for index, value in enumerate(dataset["subtask"]) if value == subtask]
if len(candidate_indices) < SAMPLES_PER_SUBTASK:
raise ValueError(f"{subtask} has only {len(candidate_indices)} examples")
selected_indices.extend(rng.sample(candidate_indices, SAMPLES_PER_SUBTASK))
rng.shuffle(selected_indices)
subset = dataset.select(selected_indices)
expected_counts = dict.fromkeys(subtasks, SAMPLES_PER_SUBTASK)
if Counter(subset["subtask"]) != expected_counts:
raise RuntimeError("Generated subset is not balanced by subtask")
config_dir = output_dir / f"{config}_600"
config_dir.mkdir(parents=True, exist_ok=True)
output_path = config_dir / "train-00000-of-00001.parquet"
subset.to_parquet(output_path)
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--output-dir", type=Path, default=Path.cwd())
parser.add_argument("--seed", type=int, default=SEED)
args = parser.parse_args()
for config in SOURCE_CONFIGS:
create_subset(config, args.output_dir, args.seed)
if __name__ == "__main__":
main()
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