Datasets:

ESpeech
/

ESpeech-upvote

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Upvote YouTube Audio Dataset

Dataset Description

This dataset contains 296 hours of processed audio segments extracted from the "Upvote" YouTube channel with corresponding metadata. Each audio file represents a segment from the channel's videos and content, processed at 44.1kHz sample rate.

Dataset Summary

Language: Russian
Task: TTS, ASR, Quality Assessment
Audio format: MP3, 44.1kHz sample rate
Structure: Segmented audio files with JSON metadata
Source: Upvote YouTube channel content

Dataset Structure

Data Fields

Basic Information

audio: Audio data (44.1kHz sample rate, MP3 format)
file_name: Name of the audio segment file (format: <original_name>_<idx>.mp3)
segment_index: Index of the audio segment within the original video
original_name: Original name of the YouTube video recording

Transcription and Timing

text: Transcribed text of the audio segment
start: Start time of the segment in seconds
end: End time of the segment in seconds
words: Word-level timestamps and confidence scores

Speaker Information

speaker: Speaker identifier (e.g., "SPEAKER_00")

Quality Metrics

emos_overall: EMOS overall quality score
noise_confidence: Noise detection confidence

Segment Structure

num_sentences: Number of sentences (for merged segments)
original_segments: Original subsegments data (for merged segments)

VAD (Voice Activity Detection)

vad_trimmed: Whether VAD trimming was applied
vad_start: VAD start time
trim_ratio: Ratio of trimmed audio

Data Splits

Train: All available YouTube video segments

Dataset Creation

Source Data

The dataset consists of audio content extracted from the "Upvote" YouTube channel. The channel produces various types of content primarily in Russian. Each YouTube video has been processed and segmented into multiple audio clips, with each segment saved as a separate MP3 file along with its transcription and metadata.

Usage

Loading the Dataset

Load and extract the tar archive files using:

cat upvote_stripped_archive.tar.aa upvote_stripped_archive.tar.ab upvote_stripped_archive.tar.ac > upvote_stripped_archive.tar && tar -xf upvote_stripped_archive.tar

Additional Information

Licensing Information

Apache 2.0 License - see LICENSE file for details.

Citation Information

@dataset{upvote_youtube_audio_dataset,
  title={Upvote YouTube Audio Dataset},
  author={Denis Petrov},
  year={2025},
  url={https://huggingface.co/datasets/ESpeech/ESpeech-upvote/}
}

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