Datasets:
license: apache-2.0
task_categories:
- automatic-speech-recognition
language:
- uz
pretty_name: Uzbek_language_stt_dataset
size_categories:
- 100K<n<1M
Uzbek Speech-to-Text (STT) Dataset
This dataset contains audio files and their corresponding transcriptions in Uzbek language, organized into different folders based on data splits. The dataset is designed to support speech recognition tasks in Uzbek.
Dataset Structure
The dataset is organized into the following main directories within the audio/
folder:
1. wavs/
This folder contains individual .wav
audio files. These files are typically short audio clips. The corresponding transcriptions are provided in the metadata.csv
file.
- Number of files: 1,171
- File format:
.wav
- Example file path:
audio/wavs/file_299-0dae1d85fd1e109ddca5d1d394ff18cf.wav
2. uz_other_dataset/
This folder contains audio data stored in .tar
archives. Each .tar
file contains multiple audio clips in .mp3
format. The transcriptions for these files are also included in the metadata.csv
.
- Number of files: 4
.tar
archives - File format:
.mp3
inside.tar
- Example file path:
audio/uz_other_dataset/uz_other_0.tar
3. uz_validated_dataset/
Similar to uz_other_dataset
, this folder contains validated audio data stored in .tar
archives. These files have passed quality checks and are validated transcriptions.
- Number of files: 3
.tar
archives - File format:
.mp3
inside.tar
- Example file path:
audio/uz_validated_dataset/uz_validated_0.tar
4. uz_train_dataset/
This folder contains training data stored in .tar
archives. The transcriptions for these files are aimed at building robust speech recognition models.
- Number of files: 2
.tar
archives - File format:
.mp3
inside.tar
- Example file path:
audio/uz_train_dataset/uz_train_0.tar
Metadata
The dataset includes a metadata.csv
file that provides the following columns:
file_name
: The path to the audio file relative to theaudio/
folder.transcription
: The corresponding transcription for the audio file.
Example Row
file_name,transcription
audio/wavs/file_299-0dae1d85fd1e109ddca5d1d394ff18cf.wav,qabul davomida 16 nafar fuqaroning 17 ta turli masalalardagi murojaatlari ko'rib chiqildi
audio/uz_other_dataset/common_voice_uz_28889488.mp3,Ammo yig‘lashga arziydigan xato bor.
audio/uz_validated_dataset/common_voice_uz_30538165.mp3,Toshkent va Sirdaryoda yer maydonini sotmoqchi bo‘lgan firibgarlar ushlandi
audio/uz_train_dataset/common_voice_uz_40010123.mp3,Toshkent va Sirdaryoda yer maydonini sotmoqchi bo‘lgan firibgarlar ushlandi