| # PolyCAT Datasheet
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| Following the "Datasheets for Datasets" framework (Gebru et al., 2021).
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| ## Motivation
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| **For what purpose was the dataset created?**
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| PolyCAT was created to study how geometric viewing constraints (polygon-shaped apertures) affect visual attention allocation on natural images. It enables saliency prediction research under non-rectangular viewing conditions.
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| **Who created the dataset and on behalf of which entity?**
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| Created by researchers at [institution name]. Funded by [funding source].
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| **Who funded the creation of the dataset?**
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| [To be filled]
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| ## Composition
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| **What do the instances that comprise the dataset represent?**
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| Each instance is one eye-tracking trial: a participant's gaze behavior while viewing a CAT2000 image through a polygon aperture for 4 seconds.
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| **How many instances are there in total?**
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| ~21,000 trials across 30 participants (702 trials per fully included participant, 2 parts x 351 trials). All 30 participants are fully included with both parts.
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| **Does the dataset contain all possible instances or is it a sample?**
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| It is a complete recording of all trials for all included participants. 600 of the ~2000 CAT2000 images were used.
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| **What data does each instance consist of?**
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| - Sample-level gaze coordinates at 500 Hz (binocular)
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| - Fixation events with position, duration, and timing
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| - Trial metadata (stimulus, polygon, cue position)
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| - Session metadata (calibration, validation)
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| **Is there a label or target associated with each instance?**
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| No explicit labels. The gaze data itself can be used to derive saliency maps.
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| **Is any information missing from individual instances?**
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| Some trials have tracking loss (blinks, look-away). Quality metrics are provided per-trial.
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| **Are there any errors, sources of noise, or redundancies?**
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| - EyeLink tracking noise (~0.25-0.5 deg typical accuracy)
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| - Blinks cause data gaps
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| - Some edge fixations may be at aperture boundaries
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| ## Collection Process
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| **How was the data associated with each instance acquired?**
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| Eye movements were recorded using an EyeLink 1000+ eye tracker while participants viewed stimuli on a 27" 4K monitor.
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| **What mechanisms or procedures were used to collect the data?**
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| Custom PsychoPy experiment with EyeLink integration. 13-point calibration before each block, drift check before each trial.
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| **Who was involved in the data collection process?**
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| Trained experimenters supervised each session. Participants were university students.
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| **Over what timeframe was the data collected?**
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| January 15 - February 25, 2026.
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| **Were any ethical review processes conducted?**
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| Yes. The study was approved by the institutional ethics review board. All participants provided written informed consent.
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| ## Preprocessing
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| **Was any preprocessing/cleaning/labeling of the data done?**
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| - Raw EDF files were converted to CSV/TSV format
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| - Fixations were extracted using EyeLink's built-in detection algorithm
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| - Split sessions were concatenated using trial UIDs
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| - Quality metrics were computed per trial and participant
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| **Was the "raw" data saved in addition to the preprocessed/cleaned/labeled data?**
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| Yes. The original session logs and EDF files are preserved in `data/raw_output_data/`.
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| ## Uses
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| **Has the dataset been used for any tasks already?**
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| Initial analyses are presented in the accompanying ETRA 2026 paper.
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| **What (other) tasks could the dataset be used for?**
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| - Saliency prediction with aperture constraints
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| - Scanpath modeling and prediction
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| - Center bias analysis under geometric constraints
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| - Polygon geometry effects on visual exploration
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| **Is there anything about the composition of the dataset or the way it was collected that might impact future uses?**
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| The polygon apertures create a unique viewing constraint not present in standard saliency datasets. Models should account for the masked regions.
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| ## Distribution
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| **How will the dataset be distributed?**
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| Via the university lab's SharePoint repository. A permanent link will be provided in the published paper.
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| **When was the dataset first released?**
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| 2026 (ETRA 2026 conference).
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| **What license is the dataset distributed under?**
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| CC BY 4.0. Note that the CAT2000 images are subject to their original license.
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| ## Maintenance
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| **Who is supporting/hosting/maintaining the dataset?**
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| [Institution name and contact information]
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| **Will the dataset be updated?**
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| Version updates will be documented with changelogs.
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| **How can the owner/curator/manager of the dataset be contacted?**
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| [Contact email]
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