Datasets:
Download Mini/nuscenes_mini.json from uclanlp/STRIDE: direct link, hf CLI and curl.
- Browser
- Download file 3.87 kB
-
https://huggingface.co/datasets/uclanlp/STRIDE/resolve/main/Mini/nuscenes_mini.json
- Command line
-
hf download hf://datasets/uclanlp/STRIDE/Mini/nuscenes_mini.json
-
curl -L -o nuscenes_mini.json https://huggingface.co/datasets/uclanlp/STRIDE/resolve/main/Mini/nuscenes_mini.json
3.87 kB
| { | |
| "meta": { | |
| "benchmark": "STRIDE", | |
| "split": "nuscenes_examples", | |
| "source_dataset": "nuScenes", | |
| "n_questions": 3, | |
| "n_templates": 23, | |
| "n_scenes": 761, | |
| "counts_by_template": { | |
| "SC-6": 50, | |
| "SP-1": 50, | |
| "SP-2": 50, | |
| "SP-3": 50, | |
| "SP-5": 50, | |
| "SP-7": 50, | |
| "SU-1": 50, | |
| "SU-2": 50, | |
| "SU-4": 50, | |
| "SU-7": 50, | |
| "TE-1": 50, | |
| "TE-6": 50, | |
| "TM-2": 50, | |
| "TM-3": 50, | |
| "TM-4": 50, | |
| "TM-5": 50, | |
| "TRJ-1": 50, | |
| "TRJ-2": 50, | |
| "TRJ-3": 50, | |
| "TRJ-4": 50, | |
| "TRJ-5": 50, | |
| "TRJ-6": 50, | |
| "TRJ-7": 50 | |
| }, | |
| "counts_by_task_family": { | |
| "scene-context": 50, | |
| "space-perception": 250, | |
| "space-understanding": 200, | |
| "time-extrapolation": 100, | |
| "time-memory": 200, | |
| "trajectory-prediction": 350 | |
| }, | |
| "counts_by_format": { | |
| "OEQ": 350, | |
| "MCQ": 800 | |
| }, | |
| "notes": [ | |
| "Ground-truth answers included for open evaluation.", | |
| "Images are NOT bundled; resolve via formatted_scenes using source_group_file.", | |
| "Open-OEQ ground truths include human-verified revisions." | |
| ], | |
| "packaged_at": "2026-09-28T23:42:03.998571+00:00" | |
| }, | |
| "tasks": [ | |
| { | |
| "choices": { | |
| "A": "Moving toward ego", | |
| "B": "Moving away from ego", | |
| "C": "Moving left-to-right across ego", | |
| "D": "Moving right-to-left across ego", | |
| "E": "Static", | |
| "F": "Same direction as ego" | |
| }, | |
| "question": "What is the trajectory direction of the object in the red bounding box in relation to the ego vehicle?", | |
| "task": "space-perception", | |
| "object_id": "abd58e7c79ec435c912afbc2dd93b38e", | |
| "source_group_file": "scene_012/group_002_vehicle_annotations.json", | |
| "id": "SP-1", | |
| "group_id": "group_002", | |
| "object_reference": "the vehicle rear-left at about 38m", | |
| "scene_id": "scene_012", | |
| "ground_truth": "B", | |
| "question_format": "MCQ", | |
| "scoring_type": "mcq" | |
| }, | |
| { | |
| "choices": { | |
| "A": "In front", | |
| "B": "Front-right", | |
| "C": "Front-left", | |
| "D": "Left", | |
| "E": "Right", | |
| "F": "Behind" | |
| }, | |
| "question": "Where was the object in the red bounding box located relative to the ego vehicle in the previous frame(s)?", | |
| "task": "time-memory", | |
| "object_id": "e1f8fc954ccd4047b257d2fcfad62088", | |
| "source_group_file": "scene_003/group_007_vehicle_annotations.json", | |
| "scene_description": "", | |
| "id": "TM-2", | |
| "group_id": "group_007", | |
| "object_reference": "the vehicle front-right at about 24m", | |
| "scene_id": "scene_003", | |
| "ground_truth": "B", | |
| "question_format": "MCQ", | |
| "scoring_type": "mcq" | |
| }, | |
| { | |
| "question": "Describe the overall environment of the scene, including weather, lighting conditions, road type, and notable surrounding activity.", | |
| "task": "scene-context", | |
| "source_group_file": "scene_299/group_001_vehicle_annotations.json", | |
| "scene_description": "Cross bridge, peds, ban, parked bicycle", | |
| "id": "SC-6", | |
| "group_id": "group_001", | |
| "scene_id": "scene_299", | |
| "nuscenes_scene_name": "scene-0299", | |
| "nuscenes_log_location": "boston-seaport", | |
| "ground_truth": "The scene takes place during daytime under partly cloudy conditions with adequate natural lighting. It is set in a straight urban road environment with light to moderate traffic. The road features double yellow lines and crosswalks. Notable surrounding activity includes parked vehicles, industrial buildings (including a 'New Boston Seafood' facility), and some pedestrian activity near sidewalks. There are no visible bridges, barriers, or roundabouts. Traffic flow is steady but not dense.", | |
| "question_format": "OEQ", | |
| "scoring_type": "open_oeq_text" | |
| } | |
| ] | |
| } | |