Multi-Attribute RFANNS Evaluation Datasets (Amazon, EMMa, Goodreads and StackOverflow)

This upload contains the processed multi-attribute RFANNS evaluation datasets Amazon, EMMa, Goodreads, and StackOverflow, derived from public corpora (Amazon Reviews, EMMa product listings, Goodreads book summaries, and Stack Exchange Q&A posts). Each dataset includes dense vector embeddings for all objects and multiple numeric attribute columns (e.g., rating, popularity, temporal, and content statistics). All files are provided in the binary format used by our implementation (*.meta.bin, *.vectors.bin), making them directly compatible with the APG codebase. The exact file formats are documented in the APG repository: https://github.com/yuyuanhang/APG. Users are encouraged to cite the associated paper when using this data.