HUVER
The HUVER dataset contains 6,051 unique drone configurations, each described by multiple formats such as grammar strings, RGB images, and GLB files. Additionally, each configuration includes an English textual descriptor that details the drone’s features in natural language. The dataset supports tasks such as image‑to‑text, image‑to‑3D, and feature extraction, and is curated by Abhiram Karri, Gary Stump, Christopher McComb, and Binyang Song under the MIT License.
Description
Dataset Card for HUVER
Overview
HUVER contains 6,051 unique drone configurations, each represented through multiple data formats, including grammar strings, RGB images, and GLB files. Additionally, a natural‑language description is provided for each configuration, detailing its characteristics.
Language
- NLP Language: English (en)
License
- License: MIT
Uses
Direct Uses
- This multimodal drone dataset offers diverse representations such as GLB 3D models, grammar strings, text descriptions, and parameter data. The variety facilitates the development of agents that can leverage different drone representations to predict performance more accurately.
- The dataset supports generative modeling of diverse drone designs. Models such as GANs, LSTMs, transformers, and GNNs can generate new drone images and designs in various formats, including GLB. Negative examples in the dataset help early identification and correction of potential design flaws, enhancing model refinement and ensuring feasible and safe drone designs.
Out‑of‑Scope Uses
- The dataset is not intended for detailed design of flight‑ready systems.
Dataset Structure
Data Instances
{
"Image": "<0001.png>",
"glb_file": "<https://huggingface.co/datasets/raiselab/HUVER/resolve/main/train/glb/0001.glb?download=true>",
"Grammar_string": "<*aMM0-*bNM2++*cMN1++*dLM2*eML1^ab^ac^ad^ae>",
"Cost ($)": "<1877.19>",
"Number of Batteries": "<1>",
"Number of Motor‑Rotor Pairs": "<4>",
"Number of Airfoils": "<0>",
"Number of Connectors": "<4>",
"Weight of Batteries (lb)": "<19.40347644>",
"Weight of Motor‑Rotor Pair (lb)": "<3.858051314>",
"Weight of Airfoils (lb)": "<0.0>",
"Total Weight (lb)": "<23.26152854>",
"Total Thrust (lb)": "<82.50002518>",
"Normalized Average Structure Size": "<0.324324324>",
"Normalized Average Motor Size": "<0.259259259>",
"Normalized Average Foil Size": "<0.0>",
"Design Descriptor": "<This drone is made up of 1 part and has 4 engines that help it move. It also has 0 wings for better flying. It has 4 links that connect everything together securely. The drone weighs 23.2615285432816 pounds in total and can lift itself and more, thanks to its strong thrust of 82.500025177002 pounds.>",
"Operations Descriptor": "<This drone configuration has a feasible flying range of 0.0‑0.0 miles, evaluated over the payload range of 0‑0 pounds. This configuration has a velocity range of 0.06352621‑0.06352621 mph. It is observed when payload increases, the flying range and velocity decrease. The drones achieve highest values of velocity and range for the lowest payloads. It can be interpreted from the data that the drone can fly as far as 0.0 miles, and can reach maximum speeds up to 0.06352621 mph. This means that while the drone does well in many situations, how far and fast it can fly can vary with how much payload it carries. This drone costs around $1877.19, adding up costs of all the components used to achieve this configuration.>",
"Performance": "<Feasibility: CouldNotStabilize, Flying Range: 0.0, Payload Capacity (lb): 0, Velocity (mph): 0.06352621, Performance Descriptor: This drone could not hover. The drone for a payload of 0 pounds, could not accomplish a successful run, the reason being either the motors could not provide enough lift or the drone did not balance properly after flight>"
}
Data Fields
- Grammar String: Structured according to a predefined grammar.
- Image: Top‑down RGB view of the configuration.
- glb: 3D mesh representing the spatial structure.
- Configuration Parameters: Battery count, motor‑rotor pair count, foil count, connector count, and associated weights.
- Text Descriptions:
- Design Descriptor: Narrative of the design.
- Performance Descriptor: Narrative of simulated performance.
- Operational Descriptor: Narrative of operational range and performance curves.
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Topics
Source
Organization: huggingface
Created: 7/2/2024
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