Feat: Add team Shaikespear submission from NeurIPS E2LM Competition

[younesbelkada]

What does this PR do ?

This new evaluation benchmark was submitted at the NeurIPS 2025 E2LM competition, and reached $3^{rd}$ place on the general leaderboard.

Its intended use is within the context of Small Language Model (SLM) evaluation in early training stages. More details are provided in the competition proposal paper.

Example command to get started:

lm_eval --model hf \                                                                                              
    --model_args pretrained=EleutherAI/pythia-160m,revision=step100000,dtype="float" \
    --tasks sciknoweval_mcqa \
    --device cuda:0 \
    --batch_size 8

Original authors

@DaGrapix @EricSaikali

@baberabb