Research Data Leeds Repository

Citation

Alomari, Muhannad and Dukes, Kais (2016) Extended train robots. University of Leeds. [Dataset] https://doi.org/10.5518/32

Dataset description

Train Robots is a dataset of synthetic scenes of a robot arm picking up and putting down different objects together with natural language descriptions of these actions. These descriptions were obtained using Amazon Mechanical Turk. An extension to the original dataset includes two more shapes and an additional colour. Finally, the natural given descriptions are given in Arabic as well as English.

Subjects:	I000 - Computer sciences > I400 - Artificial intelligence
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing
Related resources:	Location Type https://dl.acm.org/doi/10.5555/3032027.3032089 Publication https://eprints.whiterose.ac.uk/95572/ Publication https://doi.org/10.18653/v1/W17-2805 Publication https://eprints.whiterose.ac.uk/119757/ Publication https://doi.org/10.1109/TCDS.2020.3028460 Publication https://doi.org/10.1016/j.artint.2021.103637 Publication https://eprints.whiterose.ac.uk/181078/ Publication https://doi.org/10.1007/978-3-031-15931-2_22 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	11 Apr 2016 15:09
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/37
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Alomari, Muhannad https://orcid.org/0000-0002-6565-4887 University of Leeds https://ror.org/024mrxd33 ror Dukes, Kais University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: European Union Seventh Framework Programme FP7 Grant numbers: FP7-600623 Publication date: 2016 Resource language: English Metadata language: English Research project title: STRANDS Publisher: University of Leeds Contact email: scmara@leeds.ac.uk Last Modified: 22 Aug 2024 13:11

Files

Documentation

ReadMe [2kB] ReadMe [2kB] ReadMe [2kB] Security: Anyone File name: ReadMe.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2kB

Data

treebank.zip [311kB] treebank.zip [311kB] treebank.zip [311kB] Security: Anyone File name: treebank.zip Content type: Data Description: Contains the original dataset Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 311kB

scenes.zip [837MB] scenes.zip [837MB] scenes.zip [837MB] Security: Anyone File name: scenes.zip Content type: Data Description: Contains the simulated video for each of the 1000 scenes as images Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 837MB

raw_data.zip [891kB] raw_data.zip [891kB] raw_data.zip [891kB] Security: Anyone File name: raw_data.zip Content type: Data Description: Contains the raw data for each video Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 891kB