Add dataset card

README.md

@@ -1,25 +1,101 @@
----
+
+    ---
+license: mit
+
+task_categories:
+  - text-to-speech
+
+tags:
+  - audio
+  - speech
+  - asr
+  - tts
+  - multilingual
+  - indonesian
+
 dataset_info:
   features:
-  - name: audio
-    dtype:
-      audio:
-        sampling_rate: 22000
-  - name: text
-    dtype: string
-  - name: duration
-    dtype: float32
-  - name: sample_rate
-    dtype: int32
+    - name: audio
+      dtype: audio
+    - name: text
+      dtype: string
+    - name: duration
+      dtype: float32
+    - name: sample_rate
+      dtype: int32
+
   splits:
-  - name: train
-    num_bytes: 424145705
-    num_examples: 888
-  download_size: 367374235
-  dataset_size: 424145705
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+    - name: train
+      num_bytes: <AUTO>
+      num_examples: <AUTO>
+---
+
+
+# 🎵 Dataset Audio Bahasa Indonesia
+
+**Dataset audio berkualitas tinggi untuk Text-to-Speech (TTS) bahasa Indonesia.**
+
+## 🚀 Akses Cepat
+
+```python
+from datasets import load_dataset
+dataset = load_dataset("X-lord/Dataset-Text-To-Speech-Indonesia")
+```
+
+## 📊 Spesifikasi Teknis
+
+| Parameter        | Nilai       | Satuan   |
+| ---------------- | ----------- | -------- |
+| Total Durasi     | 2.68 | jam      |
+| Jumlah Segmen    | 888 | file   |
+| Durasi Rata-rata | 10.85 | detik |
+| Sample Rate KHz      | 22 | kHz |
+| Sample Rate Hz      | 22000 | Hz |
+| Bit Depth        | PCM_16 | PCM      |
+| Format           | WAV | Lossless |
+
+## 🔄 Urutan Pengolahan Data
+
+1. **📁 File Loading** - Mengumpulkan file audio
+2. **🔍 RMS Analysis** - Analisis Root Mean Square untuk deteksi silence
+3. **🎛️ RVC Algorithm** - Penerapan algoritma RVC untuk segmentasi audio
+4. **✂️ Auto Slicing** - Pemotongan otomatis berdasarkan threshold silence
+5. **🔄 Duration Optimization** - Penyesuaian panjang segment ke rata-rata optimal
+6. **🔁 Audio Resampling** - Konversi sample rate ke 22kHz (standar)
+7. **🤖 Whisper AI** - Transkripsi menggunakan model WhisperX
+8. **📊 Metadata Assembly** - Penyusunan metadata dan transkripsi
+9. **🤗 Dataset Conversion** - Konversi ke format Hugging Face Dataset
+10. **📤 Cloud Deployment** - Upload ke Hugging Face Hub
+
+## 📁 Contoh Struktur Data
+
+```python
+{
+  "audio": "Array(dtype=float32)",
+  "text": "Contoh transkripsi audio",
+  "duration": 3.25,
+  "sample_rate": 22000
+}
+```
+
+## 📖 Sitasi
+
+```bibtex
+
+@dataset{dataset_audio_indonesia},
+  title       = "Dataset Audio Bahasa Indonesia",
+  author      = "Muhammad Arief, S.Kom",
+  affiliation = "Universitas Muhammadiyah Sorong",
+  year        = 2026,
+  publisher   = "HuggingFace"
+}
+```
+
+## ⚖️ Etika & Lisensi
+
+* Lisensi: MIT
+* Tidak mengandung data pribadi
+* Proses terstandarisasi & reproducible
+
 ---
+