Published July 26, 2025 | Version v1

GUI-ReRank Dataset: Annotations and Embeddings for the Rico GUI Dataset

  • 1. ROR icon University of Mannheim
  • 2. ROR icon Karlsruhe Institute of Technology

Description

Rico Annotation and Embedding Dataset for GUI-ReRank:

This dataset contains all annotation and embedding files required to import the Rico dataset into GUI-ReRank. It includes multi-dimensional annotations and precomputed embeddings for each GUI in the Rico dataset, enabling advanced search and reranking functionality within the GUI-ReRank system. Contents:
  • annotations.json: Main annotation file mapping Rico GUI IDs to their multi-dimensional text annotations.
  • design.npy, domain.npy, functionality.npy, general_description.npy, gui_components.npy, text.npy: Numpy arrays containing embeddings for each search dimension.
  • failed_files.json: List of Rico GUIs that could not be processed.
  • index_mapping.json, inverse_index_mapping.json: Mappings between dataset indices and Rico GUI IDs.
  • meta.json: Metadata about the dataset and annotation process.
Usage: Download and extract all files into the /rico/dataset directory of your GUI-ReRank installation. This dataset is required for importing the Rico dataset and enabling multi-dimensional GUI search and reranking.

Files

gui-rerank-dataset.zip

Files (3.6 GB)

Name Size
md5:e66d0f1c88e9d23b97c3615e72675cc1
3.6 GB Preview Download

Additional details

Software