update about

src/about.py

@@ -1,72 +1,21 @@
-from dataclasses import dataclass
 from enum import Enum
+from dataclasses import dataclass
 
 @dataclass
-class Task:
+class TaskInfo:
     benchmark: str
-    metric: str
     col_name: str
+    metric: str
 
-
-# Select your tasks here
-# ---------------------------------------------------
 class Tasks(Enum):
-    # task_key in the json file, metric_key in the json file, name to display in the leaderboard 
-    task0 = Task("anli_r1", "acc", "ANLI")
-    task1 = Task("logiqa", "acc_norm", "LogiQA")
-
-NUM_FEWSHOT = 0 # Change with your few shot
-# ---------------------------------------------------
-
-
-
-# Your leaderboard name
-TITLE = """<h1 align="center" id="space-title">Demo leaderboard</h1>"""
-
-# What does your leaderboard evaluate?
-INTRODUCTION_TEXT = """
-Intro text
-"""
-
-# Which evaluations are you running? how can people reproduce what you have?
-LLM_BENCHMARKS_TEXT = f"""
-## How it works
-
-## Reproducibility
-To reproduce our results, here is the commands you can run:
-
-"""
-
-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_TEXT = r"""
-"""
+    # Replace these with actual subjects from your dataset
+    History = TaskInfo(benchmark='History', col_name='History', metric='accuracy')
+    Mathematics = TaskInfo(benchmark='Mathematics', col_name='Mathematics', metric='accuracy')
+    Science = TaskInfo(benchmark='Science', col_name='Science', metric='accuracy')
+    Geography = TaskInfo(benchmark='Geography', col_name='Geography', metric='accuracy')
+    Literature = TaskInfo(benchmark='Literature', col_name='Literature', metric='accuracy')
+    Art = TaskInfo(benchmark='Art', col_name='Art', metric='accuracy')
+    Physics = TaskInfo(benchmark='Physics', col_name='Physics', metric='accuracy')
+    Chemistry = TaskInfo(benchmark='Chemistry', col_name='Chemistry', metric='accuracy')
+    Biology = TaskInfo(benchmark='Biology', col_name='Biology', metric='accuracy')
+    ComputerScience = TaskInfo(benchmark='Computer Science', col_name='Computer Science', metric='accuracy')