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Datasets:
T40
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edge-aui-framework-data

Tasks:
Tabular Classification
Time Series Forecasting
Tags:
time-series-classification
sequence-modeling
micro-interactions
UI-adaptation
behavioral-modeling
human-computer-interaction
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edge-aui-framework-data / README.md
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feat(data): publish target intervention dataset and scripted testbed traces (Phase B & C)
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metadata 
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:

Please refer to the source repositories for detailed technical specifications and training guidelines.