datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
intentionality
Perspective-Taking Dataset
Dataset Description
This dataset contains image-question pairs for perspective-taking tasks.
Dataset Statistics
Training samples: 90
Testing samples: 10
Total samples: 100
Concepts: concept_5_image
Dataset Structure
The dataset is organized into train and test splits for each concept. Each sample consists of:
An image file (or multiple images)
A question about the image
An answer to the question (when… See the full description on the dataset page: https://huggingface.co/datasets/grow-ai-like-a-child/intentionality.egoobject-intention
EgoObject Intention Dataset
Egocentric images with human intention annotations for object interaction.
Fields
Field
Description
id
Sample ID
image
Egocentric view image (1920×1080)
target_category
Target object category (e.g., "sink", "charger")
bbox
Bounding box [x, y, w, h] in COCO format
scene_reasoning
Scene context description
intention_1/2/3
Three plausible interaction intentions
BBox Format
COCO format: [x, y, width, height]… See the full description on the dataset page: https://huggingface.co/datasets/Nanase1234/egoobject-intention.IntentionNav
IntentionNav Dataset
IntentionNav is a 500-item benchmark for intent-driven object navigation in indoor scenes. Each item describes a target object indirectly through a human intent rather than naming the object category.
Items: 500Scenes: 176 Kujiale apartment scenesTarget categories: 64Instruction variants: 4 per item, for 2000 English instructionsPhoto format: 1024 x 1024 PNG, rendered in Isaac SimTarget policy: each item points to one USD object instance whose target… See the full description on the dataset page: https://huggingface.co/datasets/Anonymous260726/IntentionNav.coco-outdoor-intention
COCO Outdoor Intention Dataset
Outdoor/street scene images with human intention annotations for object interaction.
Dataset Description
This dataset is derived from COCO 2017, focusing on 27 outdoor object categories (vehicles, street furniture, sports equipment, etc.).
Each sample contains an outdoor scene image, a target object, and 3 GPT-generated plausible human intentions for interacting with that object.
Splits
Split
Images/Queries
Source… See the full description on the dataset page: https://huggingface.co/datasets/Nanase1234/coco-outdoor-intention.scannet-intention-10k
ScanNet Intention Dataset
Indoor scene images with human intention annotations for object interaction.
Dataset Description
This dataset is derived from ScanNet indoor scene scans, with GPT-generated intention annotations.
Each sample contains an indoor scene image, a target object, and 3 plausible human intentions.
Splits
Split
Scenes
Images/Queries
train
596
8,853
test
100
1,855
Note: Train and test splits are separated by physical scene to… See the full description on the dataset page: https://huggingface.co/datasets/Nanase1234/scannet-intention-10k.scannet-intention
ScanNet Intention Dataset
Indoor scene images with human intention annotations for object interaction.
Dataset Description
This dataset is derived from ScanNet indoor scene scans, with GPT-generated intention annotations.
Each sample contains an indoor scene image, a target object, and 3 plausible human intentions.
Splits
Split
Scenes
Images/Queries
train
596
7,383
test
100
1,549
Note: Train and test splits are separated by physical scene to… See the full description on the dataset page: https://huggingface.co/datasets/Nanase1234/scannet-intention.AndroidControl_700samples_qwen2_5vl_intention_refinedAndroidControl_700samples_qwen2_5vl_intention