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  ---
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- license: other
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  tags:
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  - concept-bottleneck-models
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  - phishing-detection
@@ -20,6 +20,24 @@ Neutral, Reply, Open attachment), and the task label (`label`: 0=Phishing,
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  used for the concept-bottleneck user study (same split `train_concept_extractor2.ipynb`
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  evaluates against).
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- **Note:** `Sender`/`Body` contain real sender addresses and email content
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- pulled from public mailing-list archives and phishing-sample datasets --
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- published private for this reason.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: cc-by-4.0
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  tags:
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  - concept-bottleneck-models
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  - phishing-detection
 
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  used for the concept-bottleneck user study (same split `train_concept_extractor2.ipynb`
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  evaluates against).
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+ ## Source dataset and attribution
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+
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+ The emails themselves are **not ours**. They come from the
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+ **PhishingSpamDataSet** of Toth, Bisztray and Dubniczky, released under
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+ CC-BY-4.0 and redistributed here under that licence:
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+
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+ > Rebeka Toth, Tamas Bisztray, Richard A. Dubniczky.
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+ > *Constructing and Benchmarking: a Labeled Email Dataset for Text-Based
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+ > Phishing and Spam Detection Framework.*
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+ > [arXiv:2511.21448](https://arxiv.org/abs/2511.21448) |
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+ > [github.com/DataPhish/PhishingSpamDataSet](https://github.com/DataPhish/PhishingSpamDataSet)
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+
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+ Theirs: `Subject`, `Body`, `Sender`, `URL(s)`, `Type`, `Created by`, `Source`,
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+ `Year`, and the `LLM detected emotion` / `LLM detected motivation`
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+ annotations. Ours: the filtering and split, the embeddings, the 6-concept
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+ merge, and the trained models' outputs.
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+
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+ Please cite Toth et al. alongside our paper if you use this data.
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+
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+ **Note:** `Sender` and `Body` are real email content carried over from the
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+ source dataset.