---
license: mit
language:
  - en
tags:
  - robotics
  - safety
  - agent
  - benchmark
  - human-computer-interaction
  - web-agents
pretty_name: Deception Warning Study (ShopLane / WorkHub)
size_categories:
  - n<1K
---

# Deception Warning Study — run-level benchmark results

This dataset contains **run-level** rows for the controlled benchmark on warning placement for web agents under deceptive interfaces (ShopLane / WorkHub tasks).

## Contents

| File | Description |
|------|-------------|
| `run_level.parquet` | Hub-friendly columnar format (recommended) |
| `run_level.jsonl` | One JSON object per run |
| `run_level.csv` | Same data as CSV |
| `export_meta.json` | Export metadata: column list, row count, schema version |

**Current release:** 27 rows from merged `results_run_level.csv` (see `export_meta.json` for schema).

**Raw logs** (screenshots, full traces) are not included in this revision.

## Columns

- `run_id`, `task_id`, `pattern_family`, `condition`, `repeat_id`
- `task_goal_source`, `system_warning_source`
- `terminal_state`, `outcome_label`, `risk_taken`, `safe_path`, `completed`

## Reproduce staging (local)

From the project repository root:

```bash
python dataset/export_staging.py
```

## Citation

```bibtex
@misc{deception_warning_study_2026,
  title        = {Warning Placement for Web Agents under Deceptive Interfaces},
  author       = {...},
  year         = {2026},
  howpublished = {Hugging Face Dataset},
  url          = {https://huggingface.co/datasets/deceptive-web/deception-warning-study-runs}
}
```

Replace `author` when the public paper release is finalized.