import pyarrow.parquet as pq

class TatoebaLarge:
    def __init__(self, file_path):
        self.file_path = file_path
        self.parquet_file = pq.ParquetFile(self.file_path)

    def __iter__(self):
        return self.parquet_file.iter_batches()

    def __len__(self):
        return self.parquet_file.metadata.num_rows

# Usage example
dataset = ParquetDataset("path/to/your/dataset.parquet")

for batch in dataset:
    for example in batch.to_pydict():
        # Do something with the example, e.g., preprocess the data
        print(example)