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Dataset · Hugging Face

microsoft/OpenMementos

OpenMementos-228K A dataset of 228,557 reasoning traces annotated with block segmentation and compressed summaries (mementos), derived from OpenThoughts-v3. Memento is a framework for teaching language models to manage their own context during long-form reasoning. Instead of generating one long, unstructured chain-of-thought, memento-trained models segment their reasoning into blocks, compress each block into a dense summary (a memento), and continue reasoning from mementos alone.… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/OpenMementos.

Author / organizationmicrosoft
License (as declared)mit
Downloads235 (as reported by Hugging Face)
Likes67
Created20 March 2026
Last updated at source8 April 2026
reasoningchain-of-thoughtcontext-compressionsyntheticmemento
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