Add dataset card

README.md

@@ -1,30 +1,69 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: audio
-    dtype:
-      audio:
-        sampling_rate: 16000
-  - name: text
-    dtype: string
-  - name: text_cleaned
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 471007200.1618284
-    num_examples: 1715
-  - name: validation
-    num_bytes: 117619717.67817163
-    num_examples: 429
-  download_size: 585996333
-  dataset_size: 588626917.84
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
+license: cc-by-4.0
+task_categories:
+- automatic-speech-recognition
+language:
+- id  # Change to your language code
+tags:
+- audio
+- speech
+- asr
+size_categories:
+- n<1K  # Adjust based on your dataset size
 ---
+
+# Audio Dataset for ASR
+
+## Dataset Description
+
+This dataset contains audio recordings with corresponding transcriptions for Automatic Speech Recognition (ASR) tasks.
+
+### Dataset Summary
+
+- **Total samples**: 2144
+- **Train samples**: 1715
+- **Validation samples**: 429
+- **Audio format**: WAV, 16kHz, mono
+- **Language**: Indonesian (adjust as needed)
+
+### Dataset Structure
+
+```python
+{
+    'id': str,
+    'audio': Audio(sampling_rate=16000),
+    'text': str,
+    'text_cleaned': str
+}
+```
+
+### Usage
+
+```python
+from datasets import load_dataset
+from huggingface_hub import login
+
+# Login first for private dataset
+login()
+
+# Load the dataset
+dataset = load_dataset("ngademin/Ben-Tucker")
+
+# Or with explicit token
+# dataset = load_dataset("ngademin/Ben-Tucker", token="your_hf_token")
+
+print(dataset['train'][0])
+```
+
+### Citation
+
+If you use this dataset, please cite:
+
+```
+@dataset{your_dataset_2025,
+  title={Your Audio Dataset},
+  author={Your Name},
+  year={2025},
+  url={https://huggingface.co/datasets/ngademin/Ben-Tucker}
+}
+```