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InfiniteBench
InfiniteBench is identified by its primary project source as an evaluation family covering very long context and retrieval and reasoning. This entry publishes independently authored task signatures only.
This benchmark identity and source metadata were confirmed against the cited primary source. Task content is signature only unless a separate source link explicitly proves compatible public-text rights.
retrieval and reasoning very long context
Primary source: OpenBMB
Source evidence
Tasks
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Long-context retrieval
Evaluate whether an agent can locate a relevant detail in a long supplied context in a context-window evaluation. Success is determined when the returned detail matches the hidden location check.
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Long-range consistency
Evaluate whether an agent can maintain consistency across distant context segments in an extended sequence evaluation. Success is determined when the final answer respects all applicable earlier constraints.
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Distractor resistance
Evaluate whether an agent can ignore irrelevant passages while using the necessary long-range evidence in a long context containing controlled distractors. Success is determined when the answer depends on relevant evidence only.
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Multi-document synthesis
Evaluate whether an agent can combine evidence across several long documents in a closed multi-document context. Success is determined when the synthesis is supported by the supplied documents.
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