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README.md

@@ -1,26 +1,92 @@
----
-license: cc-by-nc-4.0
-dataset_info:
-  features:
-  - name: audio
-    dtype:
-      audio:
-        sampling_rate: 16000
-  - name: text
-    dtype: string
-  - name: duration
-    dtype: float64
-  - name: audio_file
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 66337215572.586
-    num_examples: 351019
-  download_size: 38459718137
-  dataset_size: 66337215572.586
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+---
+license: cc-by-4.0
+task_categories:
+- automatic-speech-recognition
+language:
+- az
+tags:
+- speech
+- audio
+- azerbaijani
+- asr
+size_categories:
+- 100K<n<1M
+---
+
+# Azerbaijani ASR Dataset
+
+## Dataset Description
+
+This dataset contains Azerbaijani speech data for Automatic Speech Recognition (ASR) tasks.
+
+### Dataset Summary
+
+- **Language**: Azerbaijani (az)
+- **Task**: Automatic Speech Recognition
+- **Total Duration**: ~334 hours
+- **Total Samples**: ~351,000 audio-text pairs
+- **Audio Format**: WAV, 16kHz sampling rate
+- **License**: CC-BY-4.0
+
+### Dataset Structure
+
+```python
+DatasetDict({
+    train: Dataset({
+        features: ['audio', 'text', 'duration', 'audio_file'],
+        num_rows: [total_samples]
+    })
+})
+```
+
+### Features
+
+- `audio`: Audio file (WAV format, 16kHz)
+- `text`: Transcription of the audio (Azerbaijani text)
+- `duration`: Duration of audio clip in seconds
+- `audio_file`: Original filename of the audio segment
+
+### Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("LocalDoc/azerbaijani_asr")
+
+# Access train split
+train_dataset = dataset["train"]
+
+# Example usage
+for example in train_dataset:
+    audio = example["audio"]
+    text = example["text"]
+    duration = example["duration"]
+```
+
+### Duration Distribution
+
+- 0-2 sec: 36.1%
+- 2-5 sec: 47.2% 
+- 5-10 sec: 14.6%
+- 10-20 sec: 2.0%
+- 20+ sec: 0.1%
+
+### Use Cases
+
+- Fine-tuning Whisper models for Azerbaijani
+- Training new ASR models for Azerbaijani language
+- Benchmarking ASR performance on Azerbaijani
+
+### Citation
+
+If you use this dataset, please cite:
+
+```
+@dataset{azerbaijani_asr_2025,
+  title={Azerbaijani ASR Dataset},
+  author={LocalDoc},
+  year={2025},
+  url={https://huggingface.co/datasets/LocalDoc/azerbaijani_asr}
+}
+```