Datasets:
license: apache-2.0
dataset_info:
features:
- name: audio
dtype: audio
- name: corrected_sentence
dtype: string
splits:
- name: train
num_bytes: 511635794.328
num_examples: 23113
- name: validation
num_bytes: 69413983.807
num_examples: 2889
- name: test
num_bytes: 74404523.28
num_examples: 2890
download_size: 673679878
dataset_size: 655454301.415
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
language:
- fa
pretty_name: Common Voice 17 Persian — ASR-Ready (Cleaned)
task_categories:
- automatic-speech-recognition
tags:
- audio
- speech
- automatic-speech-recognition
- asr
- persian
- fa
- farsi
- iran
- mozilla
- common-voice
- gpt-4o
- spelling-correction
- cleaned
- iranian
size_categories:
- 10K<n<100K
🗣️ Common Voice 17 — Persian (Spelling-Corrected Edition)
This is a refined version of the Persian subset of Mozilla's Common Voice 17 dataset, specially curated to enhance the performance of ASR (Automatic Speech Recognition) systems in Persian.
🛠️ Why this matters
The original dataset contained a significant number of spelling inconsistencies and typographical errors, which negatively impacted transcription accuracy and model alignment.
✨ What’s improved
Over 28,000 transcriptions were automatically cleaned using GPT-4o, with a focus on preserving the original meaning while correcting orthographic issues.
The audio files remain unchanged, and all metadata fields are preserved for compatibility.
🎯 Use cases
This corrected dataset is ideal for fine-tuning Whisper, Wav2Vec2, or other speech-to-text models in Persian — providing cleaner, more reliable supervision for training and evaluation.
🤝 Contribute or collaborate
Feel free to open an issue or submit pull requests if you'd like to contribute further improvements or validations.