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import os |
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from collections import defaultdict |
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import fire |
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import numpy as np |
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import pandas as pd |
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from tqdm import tqdm |
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from meta import SUBSET_NAMES_AND_PATHS |
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def _print_ds_info(df, duration_column_name="duration"): |
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print(f"#utterances: {df.shape[0]}") |
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durations = df["duration"] |
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print( |
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f"Duration statistics: tot {durations.sum() / 3600:.2f} h, " |
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f"mean {durations.mean():.2f} s, " |
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f"min {durations.min():.2f} s, " |
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f"max {durations.max():.2f} s" |
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) |
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print() |
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def main(output_file): |
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dataset_dir = os.path.dirname(os.path.abspath(__file__)) |
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lang_manifests_dict = defaultdict(list) |
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for k, v in SUBSET_NAMES_AND_PATHS.items(): |
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lang_manifests_dict[k.split("-")[0]].append((k, f'{dataset_dir}/{v["dir"]}/{v["text_file"]}')) |
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with open(output_file, "w") as f: |
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for lang, manifest_files in lang_manifests_dict.items(): |
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f.write("\n" + lang + "\n" + "\n") |
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f.write("| Split | 20% | 10% | 5% | 0% |" + "\n") |
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f.write("| :--- | :---: | :---: | :---: | :---: |" + "\n") |
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lines = [] |
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for split, manifest_file in tqdm(manifest_files): |
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df = pd.read_json(manifest_file, lines=True) |
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l = [df[df["wer"] <= wer_cutoff]["duration"].sum() / 3600 for wer_cutoff in [20, 10, 5, 0]] |
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l.insert(0, split) |
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lines.append(l) |
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lines.append( |
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[ |
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"total", |
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sum(l[1] for l in lines), |
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sum(l[2] for l in lines), |
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sum(l[3] for l in lines), |
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sum(l[4] for l in lines), |
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] |
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) |
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for l in lines: |
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f.write(f"| {l[0]} | " + " | ".join([f"{l_:,.2f}" for l_ in l[1:]]) + " |" + "\n") |
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if __name__ == "__main__": |
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fire.Fire(main) |
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