phdkhanh2507 commited on
Commit
e0817f6
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verified ·
1 Parent(s): c952c89

Update transcribed-vietnamese-audio.py

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Files changed (1) hide show
  1. transcribed-vietnamese-audio.py +4 -25
transcribed-vietnamese-audio.py CHANGED
@@ -57,12 +57,9 @@ class TranscribedVietnameseAudio(datasets.GeneratorBasedBuilder):
57
  features = datasets.Features({
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  "id": datasets.Value("string"),
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  "channel": datasets.Value("string"),
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- "visual": datasets.Value("string"),
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  "duration": datasets.Value("float64"),
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  "fps": datasets.Value("int8"),
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- "audio": datasets.Value("binary"),
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  "sampling_rate": datasets.Value("int64"),
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- "transcript": datasets.Value("string"),
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  })
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  return datasets.DatasetInfo(
@@ -85,30 +82,18 @@ class TranscribedVietnameseAudio(datasets.GeneratorBasedBuilder):
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  metadata_paths = dl_manager.download(
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  [_URLS["meta"].format(channel=channel) for channel in config_names]
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  )
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- transcript_dirs = dl_manager.download_and_extract(
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- [_URLS["transcript"].format(channel=channel) for channel in config_names]
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- )
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-
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- transcript_dict = {
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- channel: transcript_dir
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- for channel, transcript_dir in zip(config_names, transcript_dirs)
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- }
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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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  "metadata_paths": metadata_paths,
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- "transcript_dict": transcript_dict,
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  },
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  ),
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  ]
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  def _generate_examples(
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  self, metadata_paths: List[str],
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- visual_dict: dict,
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- audio_dict: dict,
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- transcript_dict: dict,
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  ) -> Tuple[int, dict]:
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  """
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  Generate examples from metadata.
@@ -122,19 +107,13 @@ class TranscribedVietnameseAudio(datasets.GeneratorBasedBuilder):
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  data_files=metadata_paths,
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  split="train",
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  )
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- for i, sample in enumerate(dataset):
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- channel = sample["channel"]
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- transcript_path = os.path.join(
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- transcript_dict[channel], channel, sample["id"] + ".txt"
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- )
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  yield i, {
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  "id": sample["id"],
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- "channel": channel,
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- "duration": sample["duration"],
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- "fps": sample["fps"],
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- "sampling_rate": sample["sampling_rate"],
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- "transcript": self.__get_text_data(transcript_path),
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  }
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  def __get_binary_data(self, path: str) -> bytes:
 
57
  features = datasets.Features({
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  "id": datasets.Value("string"),
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  "channel": datasets.Value("string"),
 
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  "duration": datasets.Value("float64"),
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  "fps": datasets.Value("int8"),
 
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  "sampling_rate": datasets.Value("int64"),
 
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  })
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  return datasets.DatasetInfo(
 
82
  metadata_paths = dl_manager.download(
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  [_URLS["meta"].format(channel=channel) for channel in config_names]
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  )
 
 
 
 
 
 
 
 
85
 
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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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  "metadata_paths": metadata_paths,
 
91
  },
92
  ),
93
  ]
94
 
95
  def _generate_examples(
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  self, metadata_paths: List[str],
 
 
 
97
  ) -> Tuple[int, dict]:
98
  """
99
  Generate examples from metadata.
 
107
  data_files=metadata_paths,
108
  split="train",
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  )
 
 
 
 
 
110
 
111
  yield i, {
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  "id": sample["id"],
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+ "chunk_id": sample["chunk_id"],
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+ "video_fps": sample["video_fps"],
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+ "audio_fps": sample["audio_fps"],
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+ "transcript": sample["transcript"],
 
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  }
118
 
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  def __get_binary_data(self, path: str) -> bytes: