Update README.md

README.md

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----
-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-*
----
+---
+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.