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---
license: apache-2.0
pretty_name: Embodied Spatial Reasoning
dataset_info:
- config_name: 1.0.1
features:
- name: task_id
dtype: string
- name: query
dtype: string
- name: label
dtype: bool
- name: constraint_name
dtype: string
- name: image_url
dtype: string
- name: objects
sequence: string
- name: related_task_id
dtype: string
- name: scene_id
dtype: string
splits:
- name: question_answering
num_examples: 6000
dataset_size: 6000
configs:
- config_name: 1.0.1
data_files:
- split: question_answering
path: transformed_all_v2.json
train-eval-index:
- config: 1.0.1
splits:
eval_split: question_answering
col_mapping:
task_query: text
task_label: label
language:
- en
task_categories:
- visual-question-answering
tags:
- spatial reasoning
- embodied AI
size_categories:
- 1K<n<10K
---
# Embodied Spatial Reasoning Tasks
## Dataset Description
This dataset is part of the embodied-spatial-reasoning project, where the agent has to actively explore the environment to determine if certain spatial relationships hold true. The tasks involve spatial reasoning with various objects and scenes. Each task includes a query about the spatial relationships between objects within a scene, which the agent must verify through exploration.
## Dataset Structure
The dataset is organized so that each entry represents a single task associated with a specific scene.
### Features
- **task_id**: (string) Unique identifier for each task.
- **query**: (string) A query describing the spatial relationship to be verified (e.g., "The object sofa is to the left of wardrobe.").
- **label**: (bool) Indicates whether the spatial relationship described in the query is correct (True) or not (False).
- **constraint_name**: (string) Name of the spatial relationship (e.g., "left").
- **image_url**: (string) URL of the image associated with the task.
- **objects**: (list) List of objects involved in the scene.
- **related_task_id**: (string) Identifier of a related task. Each positive task has a corresponding negative task.
- **scene_id**: (string) Identifier for the scene where the task occurs.
### Example Entry
```json
{
"query": "The object sofa is to the left of wardrobe.",
"label": false,
"constraint_name": "left",
"image_url": "https://embodied-spatial-reasoning.storage.googleapis.com/images/left/False/718c876a-a8d1-4297-b552-24ce1f136ed4.png",
"task_id": "718c876a-a8d1-4297-b552-24ce1f136ed4",
"objects": [
"wardrobe",
"sofa"
],
"related_task_id": "579c553b-21dd-4a44-bcef-1da9e5fada9f",
"scene_id": "83ce1d71-506e-43aa-8fda-13911afa6e44"
} |