Update src/about.py

src/about.py

@@ -54,33 +54,22 @@ we require all submitters to provide either a link to a paper/blog/report that i
 """
 
 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).
+# Instructions to submit results
+
+- First, make sure you've read the content in About part.
+- Test you model locally and submit your results in the following form.
+- Upload **one** result each time by fulfill the form and click "Upload One Eval", and you will be able to see the result in the "Uploaded results" part.
+- Continue to upload untill all results are uploaded, click "Submit All", after restarting the space, you will be able to see your result on the leaderboard, but marked as checking.
+- If your uploaded results contain error, click "Click Upload" and re-upload all results
+- If there is an error in submitted results, you can upload an alternative, we will use the latest submitted results during our review.
+- If there is an error in "checked" results, email us to withdraw.
+
+# Detailed settings
+
+**Score**: float number, the corresponding evaluation number
+**Name**: str **less than 3 words**, an abbreviation representing your work, it can be a model name or paper key words.
+**BaseModel**: str, LMM model for agent, suggested to be the unique hf model id
+**Target-research**: (1)`Model-Eval-Online` and `Model-Eval-Global` represent the standard setting proposed in our paper, this setting is used to test the model capability. (2) `Agent-Eval-Prompt`: Any agent design that use fixed model weight, including using RAG, memory and etc. (3) `Agent-Eval-Finetune`: The model weight is changed, and it is trained on in-domain (same environment) data.
 """
 
 CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"