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import os |
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import tarfile |
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import pandas as pd |
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import datasets |
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from datasets import Audio, Value, Features |
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import logging |
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from typing import Dict, Generator, Tuple |
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logger = logging.getLogger(__name__) |
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_DESCRIPTION = """ |
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This dataset consists of various Youtube videos in Persian language. |
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Note: This dataset contains raw, unvalidated transcriptions. Users are advised to: |
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1. Perform their own quality assessment |
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2. Create their own train/validation/test splits based on their specific needs |
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3. Validate a subset of the data if needed for their use case |
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""" |
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_CITATION = """ |
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Use this repo info/link for citation. |
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""" |
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_LICENSE = "MIT" |
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_DATA_URL = [ |
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"clips/clips_001.tar", |
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"clips/clips_002.tar", |
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"clips/clips_003.tar", |
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"clips/clips_004.tar", |
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"clips/clips_005.tar", |
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"clips/clips_006.tar", |
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"clips/clips_007.tar", |
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"clips/clips_008.tar", |
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"clips/clips_009.tar", |
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"clips/clips_010.tar", |
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"clips/clips_011.tar", |
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"clips/clips_012.tar", |
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"clips/clips_013.tar", |
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"clips/clips_014.tar", |
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"clips/clips_015.tar", |
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"clips/clips_016.tar", |
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"clips/clips_017.tar", |
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"clips/clips_018.tar", |
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"clips/clips_019.tar", |
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"clips/clips_020.tar", |
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"clips/clips_021.tar", |
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] |
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_PROMPTS_URLS = { |
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"train": "clips/metadata.csv" |
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} |
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class ASRDataset(datasets.GeneratorBasedBuilder): |
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"""ASR dataset with audio files stored in tar archives.""" |
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VERSION = datasets.Version("1.0.0") |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features({ |
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"file_name": datasets.Value("string"), |
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"audio": datasets.Audio(sampling_rate=16000), |
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"sentence": datasets.Value("string"), |
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}), |
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supervised_keys=None, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators with added error handling.""" |
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prompts_paths = dl_manager.download_and_extract(_PROMPTS_URLS) |
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archive = dl_manager.download(_DATA_URL) |
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train_dir = "clips" |
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try: |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"prompts_path": prompts_paths["train"], |
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"path_to_clips": train_dir, |
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"audio_files": dl_manager.iter_archive(archive) |
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}, |
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), |
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] |
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except Exception as e: |
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logger.error(f"Error in _split_generators: {e}") |
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logger.error(traceback.format_exc()) |
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raise |
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def _generate_examples(self, prompts_path, path_to_clips, audio_files): |
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"""Yields examples as (key, example) tuples.""" |
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logger.info('hey there!') |
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examples = {} |
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with open(prompts_path, encoding="utf-8") as f: |
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for row in f: |
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data = row.strip().split("\t", 1) |
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file_name = data[0].strip() |
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audio_path = "/".join([path_to_clips, file_name]) |
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examples[audio_path] = { |
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"path": audio_path, |
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"sentence": data[1], |
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} |
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inside_clips_dir = False |
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id_ = 0 |
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tar_files = [ |
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"clips/clips_001.tar", |
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"clips/clips_002.tar", |
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"clips/clips_003.tar", |
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"clips/clips_004.tar", |
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"clips/clips_005.tar", |
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"clips/clips_006.tar", |
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"clips/clips_007.tar", |
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"clips/clips_008.tar", |
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"clips/clips_009.tar", |
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"clips/clips_010.tar", |
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"clips/clips_011.tar", |
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"clips/clips_012.tar", |
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"clips/clips_013.tar", |
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"clips/clips_014.tar", |
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"clips/clips_015.tar", |
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"clips/clips_016.tar", |
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"clips/clips_017.tar", |
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"clips/clips_018.tar", |
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"clips/clips_019.tar", |
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"clips/clips_020.tar", |
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"clips/clips_021.tar", |
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] |
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for tar_file in tar_files: |
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with tarfile.open(tar_file, 'r') as tar: |
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for member in tar.getmembers(): |
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path = "/".join([path_to_clips, member.name]) |
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audio_file =tar.extractfile(member) |
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audio = {"path": path, "bytes": audio_file.read()} |
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yield id_, {**examples[path], "audio": audio} |
