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Update README.md with new sections

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The following sections have been added to README.md:
* Description
* Dataset Information
* Data Sources

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  license: mit
 
 
 
 
 
 
 
 
 
 
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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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+
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+ ## Phishing Texts Dataset 🎣
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ ### Data Sources 📖:
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+
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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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+
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+ > Big thanks to all the creators of these datasets for their awesome work! 🙌
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+
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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.*