Datasets:
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Tags:
image
contextual-observer-grounding
spatial-reasoning
perspective-taking
vision-language-models
embodied-ai
License:
| { | |
| "name": "POVBench", | |
| "version": "1.0.0", | |
| "description": "A benchmark for contextual observer grounding: localizing a target object from an observer-relative natural-language sentence, under three levels of observer specification.", | |
| "paper": { | |
| "title": "Contextual Observer Grounding: Evaluating Situated Spatial Reasoning in Vision-Language Models", | |
| "venue": "EMNLP 2026 Findings", | |
| "project_page": "https://mimo-owl.github.io/POVBench/", | |
| "code": "https://github.com/mimo-owl/povbench-eval" | |
| }, | |
| "generated_at": "2026-09-06", | |
| "statistics": { | |
| "houses": 47, | |
| "scenarios": 288, | |
| "instances_per_condition": { | |
| "A_inferred": 813, | |
| "B_stated": 813, | |
| "C_given": 813 | |
| }, | |
| "instances_total": 2439, | |
| "avg_valid_directions_per_scenario": 2.82, | |
| "direction_coverage": { | |
| "front": { | |
| "count": 280, | |
| "pct_of_scenarios": 97.2 | |
| }, | |
| "up": { | |
| "count": 189, | |
| "pct_of_scenarios": 65.6 | |
| }, | |
| "left": { | |
| "count": 178, | |
| "pct_of_scenarios": 61.8 | |
| }, | |
| "right": { | |
| "count": 166, | |
| "pct_of_scenarios": 57.6 | |
| } | |
| }, | |
| "observer_anchor_categories_realized": 25, | |
| "observer_anchor_categories_candidate": 31, | |
| "target_categories_realized": 25, | |
| "images": { | |
| "exploration_images": 1278, | |
| "img_from_observer": 419, | |
| "gt_images": 588, | |
| "top_down_view": 47, | |
| "total": 2332 | |
| }, | |
| "image_resolution": "512x512" | |
| }, | |
| "conditions": { | |
| "A_inferred": "stage5[<direction>].type_a - the observer's furniture is not named", | |
| "B_stated": "stage5[<direction>].type_b - the observer's furniture is named", | |
| "C_given": "stage6[<direction>].type_c + the observer-viewpoint image at rgb_path" | |
| }, | |
| "ground_truth": { | |
| "field": "placements[<direction>].position", | |
| "space": "3D world coordinates (AI2-THOR)", | |
| "note": "2D image coordinates are not stored; they are obtained by pinhole projection using the per-scenario `camera` field. See the evaluation code." | |
| }, | |
| "provenance": { | |
| "scene_generator": "ProcTHOR", | |
| "simulator": "AI2-THOR", | |
| "renderer": "CloudRendering", | |
| "judge_vlm": "Gemma (used only to judge directional plausibility and support surface)", | |
| "build_seed": 42, | |
| "note": "Houses were drawn from a pre-generated ProcTHOR pool; build_seed applies to the benchmark construction, not to house generation. The generation pipeline is not released, and the plausibility judgments come from a VLM, so the build is not bit-reproducible from this seed." | |
| }, | |
| "license": { | |
| "annotations": "CC-BY-4.0", | |
| "rendered_images_and_scene_metadata": "Apache-2.0 (derived from AI2-THOR / ProcTHOR)" | |
| }, | |
| "house_ids": [ | |
| "train_house_00000", | |
| "train_house_00001", | |
| "train_house_00002", | |
| "train_house_00003", | |
| "train_house_00004", | |
| "train_house_00005", | |
| "train_house_00006", | |
| "train_house_00007", | |
| "train_house_00008", | |
| "train_house_00009", | |
| "train_house_00010", | |
| "train_house_00012", | |
| "train_house_00013", | |
| "train_house_00014", | |
| "train_house_00015", | |
| "train_house_00016", | |
| "train_house_00018", | |
| "train_house_00019", | |
| "train_house_00020", | |
| "train_house_00021", | |
| "train_house_00022", | |
| "train_house_00023", | |
| "train_house_00024", | |
| "train_house_00025", | |
| "train_house_00026", | |
| "train_house_00027", | |
| "train_house_00028", | |
| "train_house_00029", | |
| "train_house_00031", | |
| "train_house_00032", | |
| "train_house_00033", | |
| "train_house_00034", | |
| "train_house_00035", | |
| "train_house_00036", | |
| "train_house_00037", | |
| "train_house_00038", | |
| "train_house_00040", | |
| "train_house_00041", | |
| "train_house_00042", | |
| "train_house_00043", | |
| "train_house_00044", | |
| "train_house_00045", | |
| "train_house_00046", | |
| "train_house_00048", | |
| "train_house_00049", | |
| "train_house_00051", | |
| "train_house_00053" | |
| ], | |
| "per_house_scenario_counts": { | |
| "train_house_00000": 5, | |
| "train_house_00001": 2, | |
| "train_house_00002": 9, | |
| "train_house_00003": 9, | |
| "train_house_00004": 7, | |
| "train_house_00005": 8, | |
| "train_house_00006": 11, | |
| "train_house_00007": 5, | |
| "train_house_00008": 13, | |
| "train_house_00009": 6, | |
| "train_house_00010": 13, | |
| "train_house_00012": 5, | |
| "train_house_00013": 13, | |
| "train_house_00014": 4, | |
| "train_house_00015": 7, | |
| "train_house_00016": 5, | |
| "train_house_00018": 4, | |
| "train_house_00019": 8, | |
| "train_house_00020": 8, | |
| "train_house_00021": 3, | |
| "train_house_00022": 8, | |
| "train_house_00023": 1, | |
| "train_house_00024": 5, | |
| "train_house_00025": 13, | |
| "train_house_00026": 6, | |
| "train_house_00027": 8, | |
| "train_house_00028": 9, | |
| "train_house_00029": 6, | |
| "train_house_00031": 6, | |
| "train_house_00032": 6, | |
| "train_house_00033": 2, | |
| "train_house_00034": 1, | |
| "train_house_00035": 5, | |
| "train_house_00036": 2, | |
| "train_house_00037": 5, | |
| "train_house_00038": 5, | |
| "train_house_00040": 3, | |
| "train_house_00041": 1, | |
| "train_house_00042": 6, | |
| "train_house_00043": 8, | |
| "train_house_00044": 1, | |
| "train_house_00045": 3, | |
| "train_house_00046": 6, | |
| "train_house_00048": 6, | |
| "train_house_00049": 12, | |
| "train_house_00051": 8, | |
| "train_house_00053": 1 | |
| }, | |
| "note": "Regenerated from the released artifacts. The original build summaries recorded only one shard of a 3-way parallel build and are not included." | |
| } | |