Name: SMS Spam Collection (Text Classification)
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

SMS Spam Collection (Text Classification)

SMS labeled messages that have been collected for mobile phone spam research

Source

Huggingface Hub: link

About this dataset

The SMS Spam Collection v.1 is a set of SMS messages that have been collected and labeled as either spam or not spam. This dataset contains 5574 English, real, and non-encoded messages. The SMS messages are thought-provoking and eye-catching. The dataset is useful for mobile phone spam research

How to use the dataset

Research Ideas

This dataset could be used to train a machine learning model to classify SMS messages as spam or not spam.

This dataset could be used to develop a tool that can automatically identify and block spam messages.

This dataset could be used to study the characteristics of spam messages and develop strategies for identifying and avoiding them

Acknowledgements

_This dataset is used to train a machine learning model to classify SMS messages as spam or not spam.

The SMS Spam Collection v.1 is a public set of SMS labeled messages that have been collected for mobile phone spam research. This dataset contains 5574 English, real, and non-encoded messages, tagged as being legitimate (ham) or spam. The dataset has been collected from various sources and is released under the CC BY-SA 4.0 license by Kaggle user Almeida et al._

License

> License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
> No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv

Column name	Description
sms	The text of the SMS message. (String)
label	The label for the SMS message, indicating whether it is ham or spam. (String)

Tables

Train

@kaggle.thedevastator_sms_spam_collection_a_more_diverse_dataset.train

328.25 kB
5,574 rows
2 columns

CREATE TABLE train (
  "sms" VARCHAR,
  "label" BIGINT
);