Dataset for Paper "The EMPATHIC Framework for Task Learning from Implicit Human Feedback"
<p>This is the <strong>raw</strong> data set for the paper "The EMPATHIC Framework for Task Learning from Implicit Human Feedback", published at CoRL 2020. (<a href="https://sites.google.com/utexas.edu/empathic/home">project website</a>)</p> <p>The data set contains human facial reactions recorded while the subjects watching autonomous agents completing a task that determines their reward. This data set contains data recorded in two domains: <em>Robotaxi</em> and <em>RoboticSortingTask</em> (details of each domain can be found in the paper).</p> <p>This data set file is organized as:</p> <ul> <li><strong>RobotaxiData</strong>/: <ul> <li>subject_id/ <ul> <li>episode_N/ <ul> <li>[subject_id]_episode_N_[time]_[time_step]_[frame_id].jpg</li> </ul> </li> </ul> </li> <li>RLstatistics_episode_N.csv: time_step, reward, optimality</li> </ul> </li> <li><strong>RoboticSortingTaskData</strong>/ <ul> <li>subject_id/ <ul> <li>[subject_id]_[trajectory_order]_[trajectory_id]</li> </ul> </li> <li>trajectory_returns.csv: trajectory_id, final_return</li> </ul> </li> </ul> <p>If you find this data set useful for your research, please consider citing our paper:</p> <pre>@inproceedings{cui2020empathic, title={The EMPATHIC Framework for Task Learning from Implicit Human Feedback}, author={Cui, Yuchen and Zhang, Qiping and Allievi, Alessandro and Stone, Peter and Niekum, Scott and Knox, W Bradley}, booktitle={Conference on Robot Learning}, year={2020}, organization={PMLR} }</pre> <p> </p>
ShareScore
16/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 0
- Reuse readiness
- 0
- Engagement
- 4
Topics
Dataset details
- Repository
- zenodo
- Published
- November 24, 2020
- License
- Not reported
- DOI
- 10.5281/zenodo.4290895
Scored with release 0.9.0
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