A routing dataset: for each question, how every agent in a fixed pool actually performed.
It is the input a model-selection policy trains on — not a question-answering dataset.
Each row is one task. mean_reward[i] is the accuracy of agent agent_order[i] over
3 independent attempts. Ties are preserved explicitly rather than collapsed by argmax,
because on easy questions several agents are genuinely equal and pretending otherwise… See the full description on the dataset page:
https://huggingface.co/datasets/benchgen/router-pilot.
