Datasets:
license: apache-2.0
task_categories:
- automatic-speech-recognition
language:
- uz
pretty_name: Uzbek Language Speech-to-Text Dataset
size_categories:
- 100K<n<1M
Dataset Summary Languages: Uzbek Size: Varied across different subsets. Total Audio Duration: Varied File Formats: .wav and mp3 for audio files, .tsv for transcriptions. Dataset Structure The dataset is organized into the following directories and files:
audio/
other/: Contains .tar archives like uz_other_0.taruz_other_1.tar train/: Contains .tar archives like uz_train_0.tar. validated/: Contains .tar archives like uz_validated_0.tar, uz_validated_1.tar, and uz_validated_2.tar. test/: Contains individual .wav files. transcription/: Contains .tsv files including:
other.tsv train.tsv validated.tsv test.tsv The .tsv files have two columns: file_name and transcription. Each entry provides the path to the audio file and its corresponding transcription.
Data Instances A typical data point includes:
Audio File: Path to the .wav and mp3 files. Transcription: Text transcribed from the audio. Example data instance:
json Copy code { "file_name": "audio/train/common_voice_uz_28907218.mp3", "transcription": "Bugun ertalab Gyotenikiga taklifnoma oldim." }