README.md

---
dataset_info:
- config_name: audiobooks
  features:
  - name: audio
    dtype: audio
  - name: text
    dtype: string
  - name: duration
    dtype: float64
  - name: file_id
    dtype: string
  - name: speaker_id
    dtype: string
  splits:
  - name: train
  - name: dev
  - name: test
- config_name: crowdsourced_web
  features:
  - name: audio
    dtype: audio
  - name: text
    dtype: string
  - name: duration
    dtype: float64
  - name: file_id
    dtype: string
  - name: speaker_id
    dtype: string
  splits:
  - name: train
  - name: dev
  - name: test
- config_name: crowdsourced_tg
  features:
  - name: audio
    dtype: audio
  - name: text
    dtype: string
  - name: duration
    dtype: float64
  - name: file_id
    dtype: string
  - name: speaker_id
    dtype: string
  splits:
  - name: train
configs:
- config_name: audiobooks
  data_files:
  - split: train
    path: audiobooks/train.parquet
  - split: dev
    path: audiobooks/dev.parquet
  - split: test
    path: audiobooks/test.parquet
- config_name: crowdsourced_web
  data_files:
  - split: train
    path: crowdsourced_web/train.parquet
  - split: dev
    path: crowdsourced_web/dev.parquet
  - split: test
    path: crowdsourced_web/test.parquet
- config_name: crowdsourced_tg
  data_files:
  - split: train
    path: crowdsourced_tg/train.parquet
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
language:
- tt
tags:
- Tatar
- ASR
- Speech
- Audio
- Turkic
- STT
pretty_name: Tatar Speech Corpus ASR
size_categories:
- 100K<n<1M
---

# Tatar Speech Corpus ASR
[[Original repository]](https://github.com/IS2AI/Soyle) [[Original site]](https://issai.nu.edu.kz/issai-datasets/)

## Dataset Summary

Tatar Speech Corpus ASR is a speech dataset sourced from [this GitHub repository](https://github.com/IS2AI/Soyle). TatSC contains 269.1 hours of transcribed speech with 271,914 utterances. It is the first open-source Tatar speech corpus covering both crowdsourced and audiobooks data.

## Dataset Structure

**Parts:**  
The dataset contains a single set of recordings, though they come from two different sources:
- Crowdsourced recordings (thru Telegram bot and website)
- Aligned audiobooks

**Data Fields:**
- `audio`: The speech audio file in the Tatar language
- `text`: The transcription of the audio file in Tatar
- `duration`: Length of the audio in seconds
- `file_id`: Unique identifier for the audio file
- `speaker_id`: Identifier for the speaker in the recording

## Data Processing

**Text Processing:**  
Information about text normalization or preprocessing is not explicitly provided in the source.

**Audio Processing:**  
The audio samples range from very short utterances (0.21s) to longer segments (31.1s).

**Technical Details:**
|                       |                                    |
|-----------------------|------------------------------------|
| Dataset Type          | speech corpus for ASR              |
| Language              | tt, Tatar                          |
| Speech Style          | mixed (crowdsourced and audiobooks)|
| Content               | varied                             |
| Audio Parameters      | 16 kHz sampling rate               |
| File Format           | MP3, TXT (UTF-8)                       |



**Durations:**  
|                       |                                    |
|-----------------------|------------------------------------|
| Audiobooks          | 23.02 hours             |
| Crowdsourced (Telegram)          | 143.36 hours             |
| Crowdsourced (Web)          | 97.29 hours             |
| **Total duration**           | **269.1 hours**             |




## License

This dataset is distributed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.