refactor: update submit button label and improve user ID display in create_submit_tab function for consistency

refactor: improve submission instructions for clarity and user guidance in about.py

refactor: update benchmark display in submit tab

refactor: update model key extraction and improve model dtype handling in create_submit_tab function for enhanced clarity

fix: refine user ID extraction logic in create_submit_tab function

refactor: enhance user ID extraction and error messaging in create_submit_tab function for better clarity and user experience

refactor: streamline user ID extraction and enhance error handling in create_submit_tab function for improved user experience

refactor: improve user ID validation and error messaging in create_submit_tab function to enhance user feedback

refactor: standardize user ID display format and enhance benchmark result handling in create_submit_tab function

refactor: enhance type safety and input handling in create_submit_tab function by updating benchmark results form and restructuring submission logic

refactor: set default precision to bfloat16 and improve error handling for benchmark results in create_submit_tab function

refactor: add error handling for missing benchmark results in create_submit_tab function to improve user feedback

refactor: change the precision order

refactor: optimize benchmark retrieval in create_submit_tab function to enhance clarity and error messaging

refactor: update benchmark values handling in create_submit_tab function to improve type safety and streamline input collection

refactor: improve benchmark handling in create_submit_tab function by restructuring input processing and enhancing data validation

refactor: adjust parameter order in create_submit_tab function to ensure proper handling of OAuth profile and benchmark values

feat: enhance submission process by adding user ID handling and improving JSON structure for submissions

feat: enable submission functionality by setting ENABLE_SUBMISSION to True

feat: add user ID display and make model name textbox non-interactive in submission tab

feat: enhance submission tab with detailed instructions and improved model information input fields

refactor: update column visibility settings in create_submit_tab function to enhance UI behavior

fix: simplify prepare_space function by removing global flag and ensuring data downloads are always executed

feat: add start script for running Gradio app and refactor prepare.py to streamline data preparation process

refactor: enhance submission functionality with new tabs and improved benchmark handling, and update editorconfig for consistent formatting

refactor: reorganize schema definitions and enhance data loading functions for improved clarity and maintainability

feat: add dataset synchronization script to download and upload datasets between Hugging Face repositories

docs: update introduction text in about.py

feat: integrate display configuration loading and enhance leaderboard data retrieval with versioning support

refactor: simplify MODEL_HYPERLINK_TEMPLATE construction by removing unnecessary dedent and splitlines

refactor: streamline MODEL_HYPERLINK_TEMPLATE formatting for improved readability and consistency

fix: initialize model_config to None in EvalResult class to prevent potential reference errors

feat: enhance MetaToml and EvalResult classes with new mapping properties and link handling

fix: update model type visibility in leaderboard and mark as not supported

fix: fix model column display

refactor: replace truncate function with DataFrame styling for number formatting in app.py and populate.py

refactor: update about.py to comment out task definitions and modify metric handling in read_evals.py to support multiple metrics

feat: add functions to truncate numbers to one decimal place and format DataFrame columns accordingly

feat: add script to upload leaderboard results to Hugging Face Hub

feat: enhance submission functionality by adding new submit method and updating file handling in app.py

Merge branch 'main' of hf.co:spaces/y-playground/leaderboard

fix: update EvalResult to handle NaN values in accuracy checks

fix: handle missing metric values in EvalResult by replacing None with NaN

fix: normalize model titles in MetaToml and update full_model retrieval in EvalResult

feat: add tabs control envs

fix: update benchmark retrieval to return a list instead of sorted

fix: correct mean accuracy calculation in EvalResult class by removing percentage conversion

feat: update benchmark loading to include the "disabled" field

fix: ensure short_description shorter than 60

docs: update README for EASI Leaderboard