Delete curate_dataset.py

curate_dataset.py

@@ -1,82 +0,0 @@
-def curate_dataset(
-    min_dur,
-    max_dur,
-    max_wer,
-    csv1_path,
-    csv2_path,
-    full_dataset_path,
-    output_path=None,
-):
-    if output_path is None:
-        wer_str = str(max_wer).replace(".", "")
-        output_path = (
-            f"manifest_filtered_{min_dur}_{max_dur}_{wer_str}.csv"
-        )
-
-    # --- Read CSVs ---
-    df1 = pd.read_csv(csv1_path)
-    df2 = pd.read_csv(csv2_path)
-
-    # --- Ensure numeric types ---
-    for df in (df1, df2):
-        df["duration"] = pd.to_numeric(df["duration"], errors="coerce")
-        df["wer"] = pd.to_numeric(df["wer"], errors="coerce")
-
-    # --- Apply filters on each CSV ---
-    f1 = df1[
-        (df1["duration"] > min_dur)
-        & (df1["duration"] < max_dur)
-        & (df1["wer"] < max_wer)
-    ]
-
-    f2 = df2[
-        (df2["duration"] > min_dur)
-        & (df2["duration"] < max_dur)
-        & (df2["wer"] < max_wer)
-    ]
-
-    # --- Keep audio_id present in both filtered CSVs ---
-    ids1 = set(f1["audio_id"].dropna().astype(str))
-    ids2 = set(f2["audio_id"].dropna().astype(str))
-    kept_ids = ids1.intersection(ids2)
-
-    print(f"Kept audio_id count: {len(kept_ids)}")
-
-    # --- Filter the full dataset ---
-    full_df = pd.read_csv(full_dataset_path)
-    full_df["audio_id"] = full_df["audio_id"].astype(str)
-
-    filtered_full_df = full_df[full_df["audio_id"].isin(kept_ids)]
-
-    # --- Save result ---
-    filtered_full_df.to_csv(output_path, index=False)
-
-    print(f"Filtered dataset saved to: {output_path}")
-    print(f"Rows kept in full dataset: {len(filtered_full_df)}")
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(
-        description="Filter the dataset using duration and WER thresholds."
-    )
-
-    parser.add_argument("--min-dur", type=float, required=True)
-    parser.add_argument("--max-dur", type=float, required=True)
-    parser.add_argument("--max-wer", type=float, required=True)
-
-    parser.add_argument("--csv1-path", required=True)
-    parser.add_argument("--csv2-path", required=True)
-    parser.add_argument("--full-dataset-path", required=True)
-    parser.add_argument("--output-path", default=None)
-
-    args = parser.parse_args()
-
-    curate_dataset(
-        min_dur=args.min_dur,
-        max_dur=args.max_dur,
-        max_wer=args.max_wer,
-        csv1_path=args.csv1_path,
-        csv2_path=args.csv2_path,
-        full_dataset_path=args.full_dataset_path,
-        output_path=args.output_path,
-    )