release_stats.py

import json
import pandas as pd

def compute_stats():
    stats = {}
    for split in ["train", "eval", "test"]:
        total_examples = 0
        for i in range(10):
            try:
                df = pd.read_parquet(f'data/{split}-0000{i}-of-0000{4 if split == "train" else 2 if split == "eval" else 3}.parquet')
                total_examples += len(df)
            except FileNotFoundError:
                break
        stats[split] = total_examples
    
    with open('release_stats.json', 'w') as f:
        json.dump(stats, f, indent=4)

if __name__ == "__main__":
    compute_stats()