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| """dataset_stats.py""" |
| import os |
| import json |
| import glob |
| import numpy as np |
| from typing import Optional, List |
|
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| STAT_FILE_NAME = "dataset_stats.json" |
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| def generate_dataset_stats(data_home: os.PathLike, dataset_name: Optional[str] = None) -> None: |
| """Generate dataset stats for a given dataset. |
| |
| Args: |
| data_home: Path to the data directory. |
| dataset_name: Name of the dataset to (re)generate stats for. If None, generate MISSING stats for all |
| datasets. |
| """ |
| stat_file = os.path.join(data_home, 'yourmt3_indexes', STAT_FILE_NAME) |
| if os.path.exists(stat_file): |
| print(f"Loading existing dataset stats file: {stat_file}") |
| with open(stat_file, 'r') as f: |
| stats = json.load(f).items() |
| else: |
| print(f"Creating new dataset stats file: {stat_file}") |
| stats = {} |
|
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| |
| indexes = glob.glob(os.path.join(data_home, 'yourmt3_indexes', '*_file_list.json')) |
| for index_file in indexes: |
| dataset_name = os.path.basename(index_file).split('_')[0] |
| split_name = os.path.basename(index_file).split('_')[1] |
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