src/display/about.py

from dataclasses import dataclass
from enum import Enum

@dataclass
class Task:
    benchmark: str
    metric: str
    col_name: str


# Init: to update with your specific keys
class Tasks(Enum):
    # task_key in the json file, metric_key in the json file, name to display in the leaderboard 
    task0 = Task("tts_vocoder1", "MCD", "MCD Eval")
    task1 = Task("tts_vocoder2", "Log F0 RMSE", "Log F0 RMSE Eval")
    task2 = Task("tts_vocoder3", "WER", "WER Eval")
    task3 = Task("tts_vocoder4", "UTMOS", "UTMOS Eval")
    task4 = Task("tts_vocoder5", "Bitrate", "Bitrate")
    # task5 = Task("tts_vocoder6", "Rank", "Rank")


# Your leaderboard name
TITLE = """<h1 align="center" id="space-title">Discrete-based TTS (Acoustic+Vocoder) 1Hour Leaderboard</h1>"""

# What does your leaderboard evaluate?
INTRODUCTION_TEXT = """
The leaderboard for discrete speech challenge (TTS Challenge - Acoustic+Vocoder Track) at Interspeech 2024. Submission before Interspeech deadline is marked with *. Challenge details can be found at https://www.wavlab.org/activities/2024/Interspeech2024-Discrete-Speech-Unit-Challenge/
"""

# Which evaluations are you running? how can people reproduce what you have?
LLM_BENCHMARKS_TEXT = f"""
## How it works

The evaluation (static version) are conducted by the organizers only. 

We will accept submissions from the google form (see rules in the challenge website).

## Reproducibility
To reproduce our results, please refer to the evaluation scripts at https://github.com/espnet/espnet/tree/master/egs2/TEMPLATE/tts1#evaluation

"""

EVALUATION_QUEUE_TEXT = """
"""

CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results and the challenge (coming soon, for now, please cite the challenge website)"
CITATION_BUTTON_TEXT = r"""
"""