Update src/display/about.py

src/display/about.py

@@ -11,57 +11,35 @@ class Task:
 # 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("task_name1", "metric_name", "First task")
-    task1 = Task("task_name2", "metric_name", "Second task")
+    task0 = Task("tts_vocoder1", "MCD", "MCD Eval")
+    task1 = Task("tts_vocoder2", "Log F0 RMSE", "Log F0 RMSE Eval")
+    task2 = Task("tts_vocoder3", "UTMOS", "UTMOS Eval")
 
 
 # Your leaderboard name
-TITLE = """<h1 align="center" id="space-title">Demo leaderboard</h1>"""
+TITLE = """<h1 align="center" id="space-title">Discrete-based Vocoder Leaderboard</h1>"""
 
 # What does your leaderboard evaluate?
 INTRODUCTION_TEXT = """
-Intro text
+The leaderboard for discrete speech challenge (TTS Challenge - Vocoder Track) at Interspeech 2024. 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, here is the commands you can run:
+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 = """
-## Some good practices before submitting a model
-
-### 1) Make sure you can load your model and tokenizer using AutoClasses:
-```python
-from transformers import AutoConfig, AutoModel, AutoTokenizer
-config = AutoConfig.from_pretrained("your model name", revision=revision)
-model = AutoModel.from_pretrained("your model name", revision=revision)
-tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
-```
-If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
-
-Note: make sure your model is public!
-Note: if your model needs `use_remote_code=True`, we do not support this option yet but we are working on adding it, stay posted!
-
-### 2) Convert your model weights to [safetensors](https://huggingface.co/docs/safetensors/index)
-It's a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`!
-
-### 3) Make sure your model has an open license!
-This is a leaderboard for Open LLMs, and we'd love for as many people as possible to know they can use your model 🤗
-
-### 4) Fill up your model card
-When we add extra information about models to the leaderboard, it will be automatically taken from the model card
-
-## In case of model failure
-If your model is displayed in the `FAILED` category, its execution stopped.
-Make sure you have followed the above steps first.
-If everything is done, check you can launch the EleutherAIHarness on your model locally, using the above command without modifications (you can add `--limit` to limit the number of examples per task).
 """
 
-CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
+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"""
 """