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A newer version of the Gradio SDK is available: 6.20.0
Data
raw/challenge_matches.json contains a curated historical challenge set.
The displayed pre-match Elo values are approximate research inputs and are
not represented as official ratings.
Run:
PYTHONPATH=src python scripts/prepare_matches.py
This derives lambda_home and lambda_away from the pre-match Elo
difference. The match outcome is not used to derive the rates. The checked-in
bootstrap coefficients are transparent defaults; a later research release
should fit them on a separately licensed historical training set while
excluding all challenge matches.
The challenge set is for product demonstration, not evidence that the model is state of the art.