Refactor init_leaderboard function to update data outputs to df

Refactor init_leaderboard function to update data outputs to df

Refactor init_leaderboard function to remove commented out code and improve dropdown UI

Refactor init_leaderboard function to handle multiple subsets, improve column selection and hiding, and include Dataset Version in filter_columns

Refactor init_leaderboard function to handle multiple subsets, improve column selection and hiding, and include Dataset Version in filter_columns

Refactor init_leaderboard function to handle multiple subsets, improve column selection and hiding, and include Dataset Version in filter_columns

Refactor init_leaderboard function to handle multiple subsets, improve column selection and hiding, and include Dataset Version in filter_columns

Refactor auto_eval_column_dict to use "str" instead of "markdown" for the "Model Name" column

Refactor init_leaderboard function to improve dropdown UI and add search functionality

Refactor auto_eval_column_dict to set "Dataset Version" column as non-nullable

Refactor init_leaderboard function to use the last subset as the default value for the dropdown

Refactor init_leaderboard function to include "Dataset Version" in filter_columns

Refactor init_leaderboard function to handle multiple subsets and improve column selection and hiding

Refactor get_leaderboard_df to handle multiple subsets and improve column selection and hiding

Refactor init_leaderboard function to handle multiple subsets and improve column selection and hiding

Refactor dataset version column name to lowercase in auto_eval_column_dict

Refactor init_leaderboard function to handle multiple subsets and improve column selection and hiding

Refactor load_dataset to include split parameter in populate.py

Refactor get_leaderboard_df to handle multiple subsets and improve column selection and hiding

Refactor get_leaderboard_df to handle multiple subsets and improve column selection and hiding

Refactor init_leaderboard function to handle multiple subsets and improve column selection and hiding

chore: Refactor get_leaderboard_df to handle multiple subsets in populate.py

chore: Update app.py to remove filter_columns in init_leaderboard function

chore: Update app.py to include select_columns and hide_columns in init_leaderboard function

chore: Update app.py to include select_columns and hide_columns in init_leaderboard function

chore: Round numeric columns to two decimal places in get_leaderboard_df

chore: Update envs.py with EVAL_REQUESTS_PATH_BACKEND and EVAL_RESULTS_PATH_BACKEND

chore: Remove commented out code for model information in utils.py

chore: Update auto_eval_column_dict to use "Total" instead of "Overall" for the Overall column

chore: Update app.py to include select_columns and hide_columns in init_leaderboard function

chore: Update model name in auto_eval_column_dict

chore: Update search columns in app.py to include model name

chore: Update search columns in app.py to include model and license names

chore: Update envs.py with EVAL_REQUESTS_PATH_BACKEND and EVAL_RESULTS_PATH_BACKEND

chore: Update Tasks enum values in about.py

chore: Remove commented out code for model information in utils.py

chore: Update precision filter to use dropdown instead of checkboxgroup

chore: Update precision filter to use dropdown instead of checkboxgroup

Update GOOGLE_SHEET_ID in envs.py

chore: Remove commented out code for model information in utils.py

chore: Remove commented out code for model information in utils.py

chore: Update page title to "LiveBench"

chore: Update tab name to "LiveBench Results"

chore: Update page title to "Live Bench"

chore: Update page title to "Live Bench"

chore: Update about page title to "Live Bench"

Revert "Update repository references in envs.py"

Update repository references in envs.py

Update src/envs.py

added leaderboard component to simplify main script