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ESpeech/ESpeech-buldjat

Buldjat YouTube Audio Dataset Dataset Description This dataset contains 54 hours of processed audio segments extracted from the "Buldjat" 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… See the full description on the dataset page: https://huggingface.co/datasets/ESpeech/ESpeech-buldjat.

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Dataset Card

Buldjat YouTube Audio Dataset

Dataset Description

This dataset contains 54 hours of processed audio segments extracted from the "Buldjat" 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: Buldjat 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

design

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 "Buldjat" 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 file using:

bash
tar -xf buldjat_stripped_archive.tar

Citation Information

bibtex
@dataset{buldjat_youtube_audio_dataset,
  title={Buldjat YouTube Audio Dataset},
  author={Denis Petrov},
  year={2025},
  url={https://huggingface.co/datasets/ESpeech/ESpeech-buldjat/}
}