src/texts.py

LLM_BENCHMARKS_TEXT = f"""
## How it works

## Reproducibility
To reproduce our results, check out our repository [here](https://github.com/ttsds/ttsds).

"""

EVALUATION_QUEUE_TEXT = """
## How to submit a TTS model to the leaderboard

### 1) download the evaluation dataset
The evaluation dataset consists of wav / text pairs.
You can download it [here](https://huggingface.co/ttsds/eval).

The format of the dataset is as follows:
```
eval/
├── 0001.wav
├── 0001.txt
├── 0002.wav
├── 0002.txt
├── ...
```

### 2) create your TTS dataset
Create a dataset with your TTS model and the evaluation dataset.
Use the wav files as speaker reference and the text as the prompt.
Create a .tar.gz file with the dataset, and make sure to inlcude .wav files and .txt files.

### 3) submit your TTS dataset
Submit your dataset below.
"""

CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
CITATION_BUTTON_TEXT = r"""
"""