| """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 |
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|
| DATASET_ID = "HuggingFaceBio/genomeqa" |
| SOURCE_REVISION = "a71ab7e0e72b8eca7acd4475744dccd0159b20be" |
| SOURCE_CONFIGS = ("binary", "mcq") |
| SAMPLES_PER_SUBTASK = 100 |
| SEED = 42 |
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|
|
| 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) |
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|
|
|
| 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) |
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|
|
| if __name__ == "__main__": |
| main() |
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|
