filter open llm board

app.py

@@ -82,7 +82,7 @@ def load_data():
     return ds_with_len
 
 
-remove_orgs = {"HuggingFaceM4", "HuggingFaceBR4"}
+remove_orgs = {"HuggingFaceM4", "HuggingFaceBR4", "open-llm-leaderboard"}
 
 
 columns_to_drop = [
@@ -116,32 +116,6 @@ def prep_dataframe(remove_orgs_and_users=remove_orgs, columns_to_drop=columns_to
     return df
 
 
-# def filter_df(
-#     df,
-#     created_after=None,
-#     create_before=None,
-#     min_likes=None,
-#     max_likes=None,
-#     min_len=None,
-#     max_len=None,
-#     min_downloads=None,
-#     max_downloads=None,
-# ):
-#     if min_likes:
-#         df = df[df["likes"] >= min_likes]
-#     if max_likes:
-#         df = df[df["likes"] <= max_likes]
-#     if min_len:
-#         df = df[df["len"] >= min_len]
-#     if max_len:
-#         df = df[df["len"] <= max_len]
-#     if min_downloads:
-#         df = df[df["downloads"] >= min_downloads]
-#     if max_downloads:
-#         df = df[df["downloads"] <= max_downloads]
-#     return df
-
-
 def filter_df_by_max_age(max_age_days=None):
     df = prep_dataframe()
     df = df.dropna(subset=["created"])