---
title: ESpeech-tuchniyzhab
canonical_url: "https://www.modelscope.cn/datasets/ESpeech/ESpeech-tuchniyzhab"
md_url: "https://www.modelscope.cn/datasets/ESpeech/ESpeech-tuchniyzhab.md"
repository: ESpeech/ESpeech-tuchniyzhab
last_updated: 2025-08-28
license: apache-2.0
storage_size: "25 GB"
downloads: 123
stars: 0
---

# ESpeech-tuchniyzhab

> ESpeech-tuchniyzhab - ESpeech 在 ModelScope 开源的数据集。Tuchniy Zhab YouTube Audio Dataset

ESpeech/ESpeech-tuchniyzhab 是 ModelScope 魔搭社区上的数据集，存储大小 25 GB，采用 apache-2.0 许可。

- **Repository**: ESpeech/ESpeech-tuchniyzhab
- **License**: apache-2.0
- **Storage size**: 25 GB
- **Downloads**: 123
- **Stars**: 0
- **Last updated**: 2025-08-28

Source: https://www.modelscope.cn/datasets/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

![design](https://huggingface.co/datasets/ESpeech/ESpeech-tuchniyzhab/resolve/main/mos.png)

#### 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:
```bash
cat tuchniyzhab_archive.tar.aa tuchniyzhab_archive.tar.ab tuchniyzhab_archive.tar.ac > tuchniyzhab_archive.tar && tar -xf tuchniyzhab_archive.tar
```

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