ESpeech/ESpeech-tuchniyzhab

Tuchniy Zhab YouTube Audio Dataset

Dataset Description

This dataset contains 306 hours of processed audio segments extracted from the "Tuchniy Zhab" 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: Tuchniy Zhab 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 "Tuchniy Zhab" 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 tuchniyzhab_archive.tar.aa tuchniyzhab_archive.tar.ab tuchniyzhab_archive.tar.ac > tuchniyzhab_archive.tar && tar -xf tuchniyzhab_archive.tar

Citation Information

@dataset{tuchniyzhab_youtube_audio_dataset,
  title={Tuchniy Zhab YouTube Audio Dataset},
  author={Denis Petrov},
  year={2025},
  url={https://huggingface.co/datasets/ESpeech/ESpeech-tuchniyzhab/}
}