for the custom charts, remove columns with NaN values

Updated results

Refactor. Extracted methods.

Refactoring. Moved ResultDataProcessor class to a separate file to make it easier to use with experimentation in a jupyter notebook

Renamed class. Removed columns that were not useful.

Moved CSV download to just below the table

Added download CSV button

Added updated results from hugging face evaluation runs

Rename

Added custom scatterplot creation

Improving clarity. Moved MMLU average column to a more appropriate spot

Hiding filters unless box is selected. Removed model name column because it is the index of the table

Added a scatter plot with just the top 50 performing models on MMLU average

added MMLU overall average column. added a few charts comparing more moral reasoning and comparing MMLU overall to other data

Added statsmodels to be able to use a trendline in plotly

Updated data cleanup so that column names are cleaned up appropriatly with regex=True

added a few charts

fixed reversed plot. extracted making chart into a method

Update app.py and requirements.txt so that it will work with huggingface streamlit with the pandas 1.x version

updated requirments.txt

updated requirments.txt with exact spaces

updated requirments.txt

updated requirements.txt

updated requirements.txt

updated requirements.txt with versions being used locally

added requirements file

Fixed plot

WIP commit. Troubleshoot chart display. Add behavior of filter

Revert "Moved dataframe to above the multiselect"

Moved dataframe to above the multiselect

streamlit initial app

added hugging face evaluation harness results submodule

initial commit