context-language-model/ContextBench

ContextBench ContextBench measures what an agent keeps, updates, and offloads when its input does not fit in its context window. Each task streams a sequence of operations as ordinary user turns, more than the context budget holds, and the reward is read from the agent's own messages: what survived in its context, not what it wrote to disk. Paper: Context Language Models (paper page) Families config task reward kv_store batches of SET key = value, then… See the full description on the dataset page: https://huggingface.co/datasets/context-language-model/ContextBench.

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