| --- |
| license: cc-by-4.0 |
| task_categories: |
| - tabular-classification |
| - time-series-forecasting |
| tags: |
| - time-series-classification |
| - sequence-modeling |
| - micro-interactions |
| - UI-adaptation |
| - behavioral-modeling |
| - human-computer-interaction |
| --- |
| |
| # Dataset Card: Edge-Native Adaptive UI Behavioral Logs |
|
|
| This repository stores aggregated behavioral interaction logs in raw and processed forms, primarily in the `.parquet` data storage format. |
| These logs support research on edge-native adaptive user interfaces. |
|
|
| ## 1. Hosted Data |
|
|
| The repository hosts microtensor parquet files derived from public research datasets and runtime experiment sessions: |
|
|
| - AdSERP Search and Interaction Logs (Arapakis et al., 2025). |
| - High-Volume Trajectories (Mendeley Mouse Dynamics, 2026). |
| - Structured Human-Machine Interaction Logs (Carrera-Rivera et al., 2023). |
| - Client-Side Action Paths (Ou et al., 2021). |
| - Continuous Kinematics (Leiva and Arapakis, 2020). |
|
|
| ### Interim & Sequence Datasets: |
| - **Canonical Traces (`interim/traces/canonical_traces.parquet`):** Ingested browser experiment telemetry traces (`schemaVersion 1.1.0`) with standard and extended provenance fields (`sessionId`, `experimentId`, `conditionId`, `taskId`, `windowId`, `sourceEventIds`, `preprocessingVersion`, `featureSchemaVersion`). |
| - **MicroTensor Sequences (`interim/sequences.parquet`):** Model-ready sequential interaction tensors ($T=8$, $D=18$) assembled with strict session and task boundary isolation and lookahead window alignment for `TargetInterventionHead` training. |
| |
| ### Raw Scripted Traces: |
| - **Verified Testbed Traces (`raw/scripted/`):** 18 verified browser experiment traces (`schemaVersion 1.1.0`) recorded from automated browser sessions across baseline and adaptive conditions, complete with trace validation and window attribution verification (`manifest.json`). |
| |
| ### Processed Datasets: |
| - **Target Intervention Dataset (`processed/v1.0.0/target_intervention_dataset.parquet`, `processed/target_intervention_dataset.parquet`):** Target-domain dataset with 289 examples pairing sequential MicroTensors ($T=8$, $D=18$) and canonical UIContext vectors ($\mathbb{R}^6$) with 5-class intervention labels (`no_op`, `highlight_primary_action`, `simplify_options`, `expand_tooltip`, `offer_assistance`) generated via Scripted Intervention Label Policy v1.0.0 (ADR-013). Accompanied by provenance-versioned `manifest.json` detailing SHA-256 trace digests, class distributions, and session-bounded train/val/test splits. |
| |
| ## 2. References |
| |
| For full details on the data preprocessing pipeline, MicroTensor feature schema, and target outcome taxonomy, refer to the following repositories: |
| |
| - **Model Preparation Repository:** [taofeeqhamzat/edge-aui-model-preparation](https://github.com/taofeeqhamzat/edge-aui-model-preparation) |
| - **Framework Repository:** [taofeeqhamzat/edge-aui](https://github.com/taofeeqhamzat/edge-aui) |
| |
| Please refer to the source repositories for detailed technical specifications and training guidelines. |
| |
