Upload README.md

README.md

@@ -37,21 +37,13 @@ configs:
 
 # SpatialMosaic: A Multi-View VLM Dataset for Partial Visibility
 
-> A multi-view visual question answering dataset for evaluating spatial reasoning under **partial visibility**, **occlusion**, and **low-overlap views**.
+## Description
 
-**SpatialMosaic** pairs indoor ScanNet++ and outdoor Waymo scene references with multi-frame VQA annotations. Questions require models to combine fragmented evidence across 2-5 views, rather than answering from a single image. The tasks cover object counting, object presence, localization, best-view selection, object-object spatial relations, and view-specific position reasoning.
+**SpatialMosaic** is a multi-view visual question answering dataset for evaluating spatial reasoning under **partial visibility**, **occlusion**, and **low-overlap views**. It pairs indoor ScanNet++ and outdoor Waymo scene references with multi-frame VQA annotations. Questions require models to combine fragmented evidence across 2-5 views, rather than answering from a single image. The tasks cover object counting, object presence, localization, best-view selection, object-object spatial relations, and view-specific position reasoning.
 
 This Hugging Face repository contains **annotation files only**. It does not redistribute ScanNet++, Waymo, image, video, depth, or scene data. Users must obtain any required source images from the official dataset providers and comply with their licenses, access requirements, and usage terms.
 
-> SpatialMosaic at a glance:
->
-> - 2,200 examples in the current configured test set
-> - 1,100 indoor ScanNet++ examples and 1,100 outdoor Waymo examples
-> - 17 `question_type` labels across the two JSON files
-> - Multi-view inputs with 2-5 referenced frames per example
-> - 169 indoor ScanNet++ scenes and 9 outdoor Waymo scenes
-> - Evaluation format: multiple-choice answer matching via `mc_answer`
-> - Designed for partial visibility, occlusion-aware reasoning, and low-overlap multi-view observations
+The current configuration contains **2,200 test examples**: 1,100 indoor ScanNet++ examples and 1,100 outdoor Waymo examples. Across the two JSON files, the annotations include 17 `question_type` labels, 2-5 referenced frames per example, 169 indoor ScanNet++ scenes, and 9 outdoor Waymo scenes. Evaluation is performed by exact multiple-choice answer matching against `mc_answer`.
 
 ## Available Files and Splits