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context-compression

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homerquan /mn-context-compression-dataset-v1 MN Context Compression Dataset v1 Author: Homer Quan This dataset is used to train context-compression models for improving the context efficiency of multi-agent runtimes, especially MirrorNeuron and the broader work at mirrorneuron.io. We use this dataset to train models such as homerquan/mn-context-engine-lora-v2, and later protected-fact-focused context engines. The data emphasizes exact protected-span retention, source-reference preservation, budget-conditioned compression, and… See the full description on the dataset page: https://huggingface.co/datasets/homerquan/mn-context-compression-dataset-v1.text100K<n<1M0 likes52 downloads5mo agoHugging Face