Update constants.py

constants.py

@@ -1,8 +1,9 @@
 LEADERBOARD_INTRODUCTION = """
 # DD-Ranking Leaderboard
 
+</h3> -->
 <p align="center">
-| <a href="https://nus-hpc-ai-lab.github.io/DD-Ranking/"><b>Documentation</b></a> | <a href="https://github.com/NUS-HPC-AI-Lab/DD-Ranking"><b>Github</b></a> | <b>Paper </b> (Coming Soon) | <a href=""><b>Twitter/X</b></a> | <a href=""><b>Developer Slack</b></a> |
+| <a href="https://nus-hpc-ai-lab.github.io/DD-Ranking/"><b>Documentation</b></a> | <a href="https://github.com/NUS-HPC-AI-Lab/DD-Ranking"><b>Github</b></a> | <a href=""><b>Paper </b> (Coming Soon)</a> | <a href=""><b>Twitter/X</b> (Coming Soon)</a> | <a href=""><b>Developer Slack</b> (Coming Soon)</a> |
 </p>
 
 🏆 Welcome to the leaderboard of the **DD-Ranking**! 
@@ -14,7 +15,7 @@ LEADERBOARD_INTRODUCTION = """
 - **Extensible**: DD-Ranking supports various datasets and models.
 - **Customizable**: DD-Ranking supports various data augmentations and soft label strategies.
 
-**Join Leaderboard**: Please see the [instructions](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/CONTRIBUTING.md) to participate.
+**Join Leaderboard**: Please see the [instructions](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/CONTRIBUTING.md) to participate.
 """
 
 CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
@@ -27,15 +28,21 @@ Images Per Class
 """
 
 LABEL_TYPE_INFO = """
-Hard labels are categorical, having the same format of the real dataset. Soft labels are distributions, typically generated by a pre-trained teacher model.
+Hard labels are categorical, having the same format of the real dataset. Soft labels are generated by a teacher model pretrained on the target dataset
+"""
+
+WEIGHT_ADJUSTMENT_INTRODUCTION = """
+The score for ranking in the following table is computed by $score = \sum w_i score_i$, where $w_i$ is the weight for the $i$-th metric.
+**You can specify the weights for each metric below.**
 """
 
 DATASET_LIST = ["CIFAR-10", "CIFAR-100", "Tiny-ImageNet"]
 IPC_LIST = ["IPC-1", "IPC-10", "IPC-50"]
 LABEL_TYPE_LIST = ["Hard Label", "Soft Label"]
 
-COLUMN_NAMES = ["Method", "Verified", "Date", "Recovery", "Improvement", "Score"]
-DATA_TITLE_TYPE = ['markdown', 'markdown', 'markdown', 'number', 'number', 'number']
+METRICS = ["HLR", "IOR"]
+COLUMN_NAMES = ["Ranking", "Method", "Verified", "Date", "Label Type", "HLR", "IOR", "Score"]
+DATA_TITLE_TYPE = ['number', 'markdown', 'markdown', 'markdown', 'markdown', 'number', 'number', 'number']
 
 DATASET_MAPPING = {
     "CIFAR-10": 0,