LevenKoko/MIRAGE-CanaryDocs

MIRAGE CanaryDocs MIRAGE CanaryDocs is an English synthetic enterprise-document dataset for structured privacy-unit, canary, and ordered multi-chunk evaluation. It is the companion dataset for the EMNLP 2026 paper When Metadata Remembers: Ordered Provenance Enables Document-Level Embedding Inversion. Project documentation and schemas are also available in the MIRAGE GitHub repository. Dataset summary The dataset contains complete synthetic documents, ordered token… See the full description on the dataset page: https://huggingface.co/datasets/LevenKoko/MIRAGE-CanaryDocs.