dataset.py

import os
import csv
import tarfile

def _generate_examples(self, prompts_path, audio_tar_path):
    """
    Yields examples as (key, example) tuples.

    Args:
        prompts_path (str): transcript/uz/<split>/<split>.tsv – metadata fayl yo'li.
        audio_tar_path (str): audio/uz/<split>/<split>.tar – tar arxiv yo'li (ichida *.mp3).
    """
    # 1. TSV fayldan metadata ni o'qish
    metadata_map = {}
    with open(prompts_path, encoding="utf-8") as f:
        reader = csv.DictReader(f, delimiter="\t")
        for row in reader:
            # "path" ustunida fayl nomi bo'lishi kutiladi, masalan: "H3H38EY38D8.mp3"
            file_name = row["path"].strip()
            if not file_name.endswith(".mp3"):
                file_name += ".mp3"
            metadata_map[file_name] = row

    # 2. Tar arxiv ichidan audio fayllarni o'qish
    id_ = 0
    with tarfile.open(audio_tar_path, "r") as tar:
        for member in tar.getmembers():
            # Tar ichidagi fayl nomidan faqat fayl nomini olish
            file_name = os.path.basename(member.name)
            if file_name in metadata_map:
                row = metadata_map[file_name]
                audio_file = tar.extractfile(member)
                if audio_file is None:
                    continue  # Agar fayl ochilmasa, o'tkazib yuboramiz
                audio_bytes = audio_file.read()
                audio = {"path": file_name, "bytes": audio_bytes}
                yield id_, {
                    "id": row.get("id", file_name),
                    "path": row.get("path", file_name),
                    "sentence": row.get("sentence", ""),
                    "duration": float(row.get("duration", 0.0)),
                    "age": row.get("age", ""),
                    "gender": row.get("gender", ""),
                    "accents": row.get("accents", ""),
                    "locale": row.get("locale", ""),
                    "audio": audio,
                }
                id_ += 1