Datasets:

metricv
/

tl-whisper-raw

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Dataset Viewer

Split (1)

train

The dataset viewer is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    FileNotFoundError
Message:      datasets/metricv/tl-whisper-raw@af7a48052308857c0a8d048411aa40c51ee17464/data/2024-08-24_are_these_ryzen_gains_worth_the_risk_4pdcb77elqa/2024-08-24_are_these_ryzen_gains_worth_the_risk_4pdcb77elqa-60-720.m4a
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2270, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1857, in __iter__
                  batch = formatter.format_batch(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/formatting/formatting.py", line 467, in format_batch
                  batch = self.python_features_decoder.decode_batch(batch)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/formatting/formatting.py", line 229, in decode_batch
                  return self.features.decode_batch(batch) if self.features else batch
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2143, in decode_batch
                  [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2144, in <listcomp>
                  decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1414, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/audio.py", line 180, in decode_example
                  with xopen(path, "rb", download_config=download_config) as f:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 949, in xopen
                  file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 135, in open
                  return self.__enter__()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 103, in __enter__
                  f = self.fs.open(self.path, mode=mode)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1293, in open
                  f = self._open(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 275, in _open
                  return HfFileSystemFile(self, path, mode=mode, revision=revision, block_size=block_size, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 947, in __init__
                  self.details = fs.info(self.resolved_path.unresolve(), expand_info=False)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 716, in info
                  _raise_file_not_found(path, None)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 1136, in _raise_file_not_found
                  raise FileNotFoundError(msg) from err
              FileNotFoundError: datasets/metricv/tl-whisper-raw@af7a48052308857c0a8d048411aa40c51ee17464/data/2024-08-24_are_these_ryzen_gains_worth_the_risk_4pdcb77elqa/2024-08-24_are_these_ryzen_gains_worth_the_risk_4pdcb77elqa-60-720.m4a

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

This repository is used to create and push to metricv/tl-whisper.

Usage

Requirements

apt-get install ffmpeg # Do this however you want. GPU/nvenc not required, nor useful since we're only dealing with audio.
pip install -r requirements.pyr

Append to dataset

python append_to_dataset.py AUDIO_FILE.m4a --entxt SUB.en.txt
# OR
python append_to_dataset.py AUDIO_FILE.m4a --ass SUB.ass

Build and push

python ./push_self.py

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