Create constant.py

constant.py

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+LEADERBOARD_INTRODUCTION = """
+# DD-Ranking Leaderboard
+
+🏆 Welcome to the leaderboard of the **DD-Ranking**! [![Code](https://img.shields.io/github/stars/NUS-HPC-AI-Lab/DD-Ranking.svg?style=social&label=Official)](https://github.com/NUS-HPC-AI-Lab/DD-Ranking) 
+
+**Join Leaderboard**: Please see the [instructions]() to participate.
+"""
+
+CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
+CITATION_BUTTON_TEXT = r"""
+
+"""
+
+IPC_INFO = """
+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.
+"""
+
+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']
+
+DATASET_MAPPING = {
+    "CIFAR-10": 0,
+    "CIFAR-100": 1,
+    "Tiny-ImageNet": 2,
+}
+
+IPC_MAPPING = {
+    "IPC-1": 0,
+    "IPC-10": 1,
+    "IPC-50": 2,
+}
+
+LABEL_MAPPING = {
+    "Hard Label": 0,
+    "Soft Label": 1,
+}