Update README.md

README.md

@@ -1,25 +1,45 @@
 ---
-dataset_info:
+language:
+- en
+- ne
+tags:
+- tts
+- audio
+- speech-synthesis
+- wiseai
+license: mit
+dtaset_info:
   features:
   - name: text
     dtype: string
   - name: audio
-    dtype:
-      audio:
-        sampling_rate: 24000
+    dtype: audio
   - name: language
     dtype: string
   - name: category
     dtype: string
-  splits:
-  - name: train
-    num_bytes: 274573374.0
-    num_examples: 335
-  download_size: 269818435
-  dataset_size: 274573374.0
 configs:
 - config_name: default
   data_files:
   - split: train
-    path: data/train-*
+    path: data/*
 ---
+# WiseAI TTS Evaluation Dataset
+This dataset contains generated audio samples from the WiseAI TTS system. It is designed for evaluating the performance and quality of the Text-to-Speech engine across English, Nepali, and Code-mixed (Nepali-English) inputs.
+## Dataset Details
+This is the reference dataset generated after running all tests and reports presented in the **TTS Evaluation report**.
+### Source Data
+The text inputs were sourced from the following test file in the WiseAI codebase:
+[test/test_dataset/jsonl_format/asr_test_data.jsonl](cci:7://file:///c:/Users/firoj/OneDrive/Desktop/WiseYak/wiseai-tts/test/test_dataset/jsonl_format/asr_test_data.jsonl:0:0-0:0)
+### Data Fields
+- **audio**: The generated audio file (`.wav` format, 24kHz).
+- **text**: The input text used to generate the audio.
+- **language**: The language tag of the input text (`english`, `nepali`, or `codemix`).
+  - *Note: `codemix` inputs were processed using the Nepali model.*
+- **category**: The category of the intent/domain (e.g., banking, general).
+## Usage
+```python
+from datasets import load_dataset
+dataset = load_dataset("Firoj112/tts_test")
+# Listen to a sample
+print(dataset['train'][0]['text'])