--- dataset_info: config_name: n5_m4_d144 features: - name: id dtype: int64 - name: image_top_down dtype: image - name: image_north_facing dtype: image - name: question_image dtype: string - name: options_td sequence: string - name: options_sd sequence: string - name: answer_image_td dtype: string - name: answer_image_sd dtype: string - name: question_td_layout_yn dtype: string - name: answer_td_layout_yn dtype: string - name: question_td_layout_fr dtype: string - name: answer_td_layout_fr sequence: string - name: question_td_tpp_yn dtype: string - name: answer_td_tpp_yn dtype: string - name: question_td_tpp_fr dtype: string - name: answer_td_tpp_fr sequence: string - name: question_td_o2_yn dtype: string - name: answer_td_o2_yn dtype: string - name: question_td_o2_fr dtype: string - name: answer_td_o2_fr sequence: string - name: question_td_o2_d2_yn dtype: string - name: answer_td_o2_d2_yn dtype: string - name: question_td_o2_d2_fr dtype: string - name: answer_td_o2_d2_fr sequence: string - name: question_td_o2_d3_yn dtype: string - name: answer_td_o2_d3_yn dtype: string - name: question_td_o2_d3_fr dtype: string - name: answer_td_o2_d3_fr sequence: string - name: question_td_o2_layout_yn dtype: string - name: answer_td_o2_layout_yn dtype: string - name: question_td_o2_layout_fr dtype: string - name: answer_td_o2_layout_fr sequence: string - name: question_td_o2_d2_layout_yn dtype: string - name: answer_td_o2_d2_layout_yn dtype: string - name: question_td_o2_d2_layout_fr dtype: string - name: answer_td_o2_d2_layout_fr sequence: string - name: question_td_o2_d3_layout_yn dtype: string - name: answer_td_o2_d3_layout_yn dtype: string - name: question_td_o2_d3_layout_fr dtype: string - name: answer_td_o2_d3_layout_fr sequence: string - name: question_sd_layout_yn dtype: string - name: answer_sd_layout_yn dtype: string - name: question_sd_tpp_yn dtype: string - name: answer_sd_tpp_yn dtype: string - name: question_sd_o2_yn dtype: string - name: answer_sd_o2_yn dtype: string - name: question_sd_o2_fr dtype: string - name: answer_sd_o2_fr sequence: string - name: question_sd_o2_d2_yn dtype: string - name: answer_sd_o2_d2_yn dtype: string - name: question_sd_o2_d2_fr dtype: string - name: answer_sd_o2_d2_fr sequence: string - name: question_sd_o2_d3_yn dtype: string - name: answer_sd_o2_d3_yn dtype: string - name: question_sd_o2_d3_fr dtype: string - name: answer_sd_o2_d3_fr sequence: string - name: question_sd_o2_layout_yn dtype: string - name: answer_sd_o2_layout_yn dtype: string - name: question_sd_o2_layout_fr dtype: string - name: answer_sd_o2_layout_fr sequence: string - name: question_sd_o2_d2_layout_yn dtype: string - name: answer_sd_o2_d2_layout_yn dtype: string - name: question_sd_o2_d2_layout_fr dtype: string - name: answer_sd_o2_d2_layout_fr sequence: string - name: question_sd_o2_d3_layout_yn dtype: string - name: answer_sd_o2_d3_layout_yn dtype: string - name: question_sd_o2_d3_layout_fr dtype: string - name: answer_sd_o2_d3_layout_fr sequence: string splits: - name: test num_bytes: 67434227.0 num_examples: 100 download_size: 65991028 dataset_size: 67434227.0 configs: - config_name: n5_m4_d144 data_files: - split: test path: n5_m4_d144/test-* ---

🏠 RoomSpace Benchmark

🔗 GitHub â€ĸ 📁 Dataset â€ĸ 📖 Paper 🕹ī¸ Colab

## Branch Structure This repository contains various branches, each representing different versions and sizes of the RoomSpace dataset. For example, the `SD-100_v1.0` branch includes 100 test examples under version 1.0. ``` Data/ ├── main/ ├── SD-100_v1.0/ ├── SD-1K_v1.0/ └── SD-10K_v1.0/ ``` - `main`: for the Dataset Viewer, contains the `n5_m4_d144` directory for SD-1K_v1.0. - `SD-100_v1.0`: Contains data for 100 room samples. - `SD-1K_v1.0`: Contains data for 1,000 room samples, with the first 100 rooms identical to those in `SD-100_v1.0`. - `SD-10K_v1.0`: Contains data for 10,000 room samples, with the first 1,000 rooms identical to those in `SD-1K_v1.0`. ## Directory Structure The repository is organized as follows: ``` Revision/ ├── n3_m2_d144/ ├── n4_m3_d144/ ``` Each `n*_m*_d*` subdirectory includes a test parquet file containing stories, questions, and answers derived from the images and a Constraint Satisfaction Problem (CSP) reasoner. The parameters `n`, `m`, and `d` represent the object number, constraint density, and domain size, respectively. ### Images Each example includes two images showing different views of the rooms: - `image_top_down`: Top-down images of the rooms. - `image_north_facing`: North-facing rectangular images, assuming a robot stands at the south door, facing north. ### Questions & Answers There are a total of 26 QA pairs, categorized as follows: - **Visual QA**: (image_top_down + question_image) -- answer_image_td, (image_north_facing + question_image) -- answer_image_sd - **Layout Setting**: (question_td_layout_yn -- answer_td_layout_yn), (question_td_layout_fr -- answer_td_layout_fr) - **TPP Setting**: (question_td_tpp_yn -- answer_td_tpp_yn), (question_td_tpp_fr -- answer_td_tpp_fr) - **O2 Setting**: (question_td_o2_yn -- answer_td_o2_yn), (question_td_o2_fr -- answer_td_o2_fr), (question_sd_o2_yn -- answer_sd_o2_yn), (question_sd_o2_fr -- answer_sd_o2_fr) - **O2+D2 Setting**: (question_td_o2_d2_yn -- answer_td_o2_d2_yn), (question_td_o2_d2_fr -- answer_td_o2_d2_fr), (question_sd_o2_d2_yn -- answer_sd_o2_d2_yn), (question_sd_o2_d2_fr -- answer_sd_o2_d2_fr) - **O2+D3 Setting**: (question_td_o2_d3_yn -- answer_td_o2_d3_yn), (question_td_o2_d3_fr -- answer_td_o2_d3_fr), (question_sd_o2_d3_yn -- answer_sd_o2_d3_yn), (question_sd_o2_d3_fr -- answer_sd_o2_d3_fr) - **Layout + O2 + D2 Setting**: (question_td_o2_d2_layout_yn -- answer_td_o2_d2_layout_yn), (question_td_o2_d2_layout_fr -- answer_td_o2_d2_layout_fr), (question_sd_o2_d2_layout_yn -- answer_sd_o2_d2_layout_yn), (question_sd_o2_d2_layout_fr -- answer_sd_o2_d2_layout_fr) - **Layout + O2 + D3 Setting**: (question_td_o2_d3_layout_yn -- answer_td_o2_d3_layout_yn), (question_td_o2_d3_layout_fr -- answer_td_o2_d3_layout_fr), (question_sd_o2_d3_layout_yn -- answer_sd_o2_d3_layout_yn), (question_sd_o2_d3_layout_fr -- answer_sd_o2_d3_layout_fr) ### Question Types - **'fr'**: Find Relation - **'yn'**: Yes/No ### Points of View - **'td'**: Top-Down View - **'sd'**: North Facing View (from the south door) --- ## Relevant Paper [Fangjun Li, David Hogg, and Anthony Cohn. "Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning." IJCAI, 2024](https://arxiv.org/abs/2405.15064).