| --- |
| license: cc-by-4.0 |
| tags: |
| - concept-bottleneck-models |
| - phishing-detection |
| - nlp |
| --- |
| |
| # NWeak/emails-user-study |
|
|
| Our model's computed results for the 1000-email user-study set (see |
| `emails/scripts/train_concept_extractor2.ipynb` in |
| [user-study-CBMs](https://github.com/debryu/user-study-CBMs)): per email, |
| the 6 ground-truth concepts (`c1..6_gt`), the 6 predicted concept activations |
| (`c1..6_pred`, continuous -- tanh of the concept-SVM decision function), the |
| predicted task label (`task_pred`), and the ground-truth label (`task_gt`). |
|
|
| Concept order: Fear+Authority, Urgency, Curiosity, Neutral, Reply, Open attachment. |
|
|
| Also includes `Subject`/`Body`/`Sender` for readability. Join on |
| `Original email No.`. |
|
|
| ## Source dataset and attribution |
|
|
| The emails themselves are **not ours**. They come from the |
| **PhishingSpamDataSet** of Toth, Bisztray and Dubniczky, released under |
| CC-BY-4.0 and redistributed here under that licence: |
|
|
| > Rebeka Toth, Tamas Bisztray, Richard A. Dubniczky. |
| > *Constructing and Benchmarking: a Labeled Email Dataset for Text-Based |
| > Phishing and Spam Detection Framework.* |
| > [arXiv:2511.21448](https://arxiv.org/abs/2511.21448) | |
| > [github.com/DataPhish/PhishingSpamDataSet](https://github.com/DataPhish/PhishingSpamDataSet) |
|
|
| Theirs: `Subject`, `Body`, `Sender`, `URL(s)`, `Type`, `Created by`, `Source`, |
| `Year`, and the `LLM detected emotion` / `LLM detected motivation` |
| annotations. Ours: the filtering and split, the embeddings, the 6-concept |
| merge, and the trained models' outputs. |
|
|
| Please cite Toth et al. alongside our paper if you use this data. |
|
|
| **Note:** `Sender` and `Body` are real email content carried over from the |
| source dataset. |
|
|
| ## Citation |
|
|
| Produced for **[Are Concept Bottleneck Models Effective as Decision-Support |
| Systems?](https://arxiv.org/abs/2608.25581)** (arXiv:2608.25581) -- Bogani, |
| Debole, Marconato, Pugnana, Tentori, Passerini. Code: |
| [github.com/debryu/user-study-CBMs](https://github.com/debryu/user-study-CBMs). |
|
|
