fix formatting

app.py

@@ -97,7 +97,6 @@ print(f'Term length dataframe is {term_length_df}')
 variate_type_df = pivot_existed_df(variate_type_df, tab_name='univariate')
 print(f'Variate type dataframe is {variate_type_df}')
 model_info_df = get_model_info_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH)
-
 # (
 #     finished_eval_queue_df,
 #     running_eval_queue_df,
@@ -169,11 +168,11 @@ with demo:
             leaderboard = init_leaderboard(freq_df, model_info_df)
             print(f"FINAL Frequency LEADERBOARD 1 {freq_df}")
 
-        with gr.TabItem("🏅 By term length", elem_id="llm-benchmark-tab-table", id=2):
+        with gr.TabItem("🏅 By Term Length", elem_id="llm-benchmark-tab-table", id=2):
             leaderboard = init_leaderboard(term_length_df, model_info_df)
             print(f"FINAL term length LEADERBOARD 1 {term_length_df}")
 
-        with gr.TabItem("🏅 By variate type", elem_id="llm-benchmark-tab-table", id=3):
+        with gr.TabItem("🏅 By Variate Type", elem_id="llm-benchmark-tab-table", id=3):
             leaderboard = init_leaderboard(variate_type_df, model_info_df)
             print(f"FINAL LEADERBOARD 1 {variate_type_df}")
         with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=4):

src/about.py

@@ -34,7 +34,7 @@ TITLE = """<h1 align="center" id="space-title">GIFT-Eval Time Series Forecasting
 
 # What does your leaderboard evaluate?
 INTRODUCTION_TEXT = """
-[Placeholder] We introduce the General TIme Series ForecasTing Model Evaluation, GIFT-Eval,
+We introduce the **G**eneral T**I**me Series **F**orecas**T**ing Model Evaluation, GIFT-Eval,
 a pioneering benchmark aimed at promoting evaluation across diverse datasets.
 GIFT-Eval encompasses 28 datasets over 144,000 time series and 177 million data
 points, spanning seven domains, 10 frequencies, multivariate inputs, and prediction lengths ranging from short to long-term forecasts.

src/display/formatting.py

@@ -1,5 +1,9 @@
 def model_hyperlink(link, model_name):
-    return f'<a target="_blank" href="{link}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{model_name}</a>'
+    if link == "":
+        return model_name
+        # return f'<a target="_blank">{model_name}</a>'
+        # return f'<a target="_blank" href="{link}" rel="noopener noreferrer">{model_name}</a>'
+    return f'<a target="_blank" href="{link}">{model_name}</a>'
 
 
 def make_clickable_model(model_name):

src/leaderboard/read_evals.py

@@ -8,7 +8,7 @@ import dateutil
 import ipdb
 import numpy as np
 
-from src.display.formatting import make_clickable_model
+from src.display.formatting import make_clickable_model, model_hyperlink
 from src.display.utils import ModelType, Tasks, Precision, WeightType, ModelInfoColumn
 from src.submission.check_validity import is_model_on_hub
 
@@ -17,6 +17,7 @@ from src.submission.check_validity import is_model_on_hub
 class ModelConfig:
     """Represents the model configuration of a model"""
     model: str
+    model_link: str = ""
     model_type: ModelType = ModelType.Unknown
     precision: Precision = Precision.Unknown
     license: str = "?"
@@ -35,15 +36,18 @@ class ModelConfig:
         precision = Precision.from_str(data.get("model_dtype"))
         model_type = ModelType.from_str(data.get("model_type", ""))
         model = data.get("model", "")
-        return cls(model=model, model_type=model_type, precision=precision)
+        model_link = data.get("model_link", "")
+        return cls(model=model, model_link=model_link, model_type=model_type, precision=precision)
 
     def to_dict(self):
         """Converts the model info to a dict compatible with our dataframe display"""
         data_dict = {
-            "model": self.model,  # not a column, just a save name,
+            "model": self.model,
+            'model_w_link': model_hyperlink(self.model_link, self.model),
             ModelInfoColumn.precision.name: self.precision.value.name,
             ModelInfoColumn.model_type.name: self.model_type.value.name,
             ModelInfoColumn.model_type_symbol.name: self.model_type.value.symbol,
+            # ModelInfoColumn.model.model_link: model_hyperlink(self.full_model),
             ModelInfoColumn.license.name: self.license,
             ModelInfoColumn.likes.name: self.likes,
             ModelInfoColumn.params.name: self.num_params,

src/populate.py

@@ -20,6 +20,8 @@ def get_model_info_df(results_path: str, requests_path: str, cols: list=[], benc
 def get_merged_df(result_df: pd.DataFrame, model_info_df: pd.DataFrame) -> pd.DataFrame:
     """Merges the model info dataframe with the results dataframe"""
     merged_df = pd.merge(model_info_df, result_df, on='model', how='inner')
+    merged_df = merged_df.drop(columns=['model'])
+    merged_df = merged_df.rename(columns={'model_w_link': 'model'})
     return merged_df
 
 def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchmark_cols: list) -> pd.DataFrame:

src/utils.py

@@ -1,3 +1,4 @@
+import ipdb
 import pandas as pd
 import os
 import re
@@ -60,6 +61,8 @@ def pivot_existed_df(df, tab_name):
     df_pivot = df_pivot.reset_index()
     # df_pivot = df_pivot.round(3)
     df_pivot = df_pivot.applymap(format_number)
+    # make sure the data type is float
+    df_pivot.iloc[:, 1:] = df_pivot.iloc[:, 1:].astype(float)
     return df_pivot