README.md

---
language:
- en
- ne
tags:
- tts
- audio
- speech-synthesis
- wiseai
license: mit
dtaset_info:
  features:
  - name: text
    dtype: string
  - name: audio
    dtype: audio
  - name: language
    dtype: string
  - name: category
    dtype: string
configs:
- config_name: default
  data_files:
  - split: 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'])