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