thoughtdag/context-repair-benchmark
ThoughtDAG Context Repair Benchmark What happens after one wrong assumption enters a long LLM conversation? This dataset turns context editing into a measurable intervention. Each synthetic case starts with a clean fact, introduces a false update, lets the error propagate through one to three downstream turns, and then asks the same final question under five graph conditions: clean polluted source_prune subgraph_prune recompute_descendants The central question is not only… See the full description on the dataset page: https://huggingface.co/datasets/thoughtdag/context-repair-benchmark.
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