Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
Update README.md with new sections
Browse filesThe following sections have been added to README.md:
* Description
* Dataset Information
* Data Sources
README.md
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license: mit
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---
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---
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license: mit
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task_categories:
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- text-classification
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language:
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- en
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size_categories:
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- 10K<n<100K
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tags:
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- phishing
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- text
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pretty_name: Phishing Texts Dataset
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---
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## Phishing Texts Dataset 🎣
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### Description:
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This dataset is a collection of data designed for training text classifiers capable of determining whether a message or email is a phishing attempt or not.
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### Dataset Information 📨:
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The dataset consists of more than 20,000 entries of text messages, which are potential phishing attempts.
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Data is structured in two columns:
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- `text`: The text of the message or email.
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- `phising`: An indicator of whether the message in the `text` column is a phishing attempt (1) or not (0).
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The dataset has undergone a data cleaning process and preprocessing to remove possible duplicate entries.
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It is worth mentioning that the dataset is **balanced**, with 62% non-phishing and 38% phishing instances.
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In some of the aforementioned datasets, it was identified that the data overlapped.
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To avoid redundant values, duplicate entries have been removed from this dataset during the last data cleaning phase.
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### Data Sources 📖:
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This dataset has been constructed from the following sources:
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- [Hugging Face - Phishing Email Dataset](https://huggingface.co/datasets/zefang-liu/phishing-email-dataset)
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- [Hugging Face - Phishing Dataset](https://huggingface.co/datasets/ealvaradob/phishing-dataset)
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- [Kaggle - Phishing Emails](https://www.kaggle.com/datasets/subhajournal/phishingemails)
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- [Kaggle - Phishing Email Data by Type](https://www.kaggle.com/datasets/charlottehall/phishing-email-data-by-type)
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> Big thanks to all the creators of these datasets for their awesome work! 🙌
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*In some of the aforementioned datasets, it was identified that the data overlapped.
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To avoid redundant values, duplicate entries have been removed from this dataset during the last data cleaning phase.*
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