Spam Collection v.1 is a public set of SMS labeled messages that
have been collected for mobile phone spam research. It has one
collection composed by 5,574
and non-enconded messages,
tagged according being legitimate (ham) or spam.
has been collected from free or free for research sources at the
collection of 425 SMS spam messages was manually extracted from
the Grumbletext Web site. This is a UK forum in which cell phone
users make public claims about SMS spam messages, most of them
without reporting the very spam message received. The
identification of the text of spam messages in the claims is a
very hard and time-consuming task, and it involved carefully
scanning hundreds of web pages. The Grumbletext Web site is: http://www.grumbletext.co.uk/.
subset of 3,375 SMS randomly chosen ham messages of the NUS SMS
Corpus (NSC), which is a dataset of about 10,000 legitimate
messages collected for research at the Department of Computer
Science at the National University of Singapore. The messages
largely originate from Singaporeans and mostly from students
attending the University. These messages were collected from
volunteers who were made aware that their contributions were going
to be made publicly available. The NUS SMS Corpus is avalaible at:
list of 450 SMS ham messages collected from Caroline Tag's PhD
Thesis available at http://etheses.bham.ac.uk/253/1/Tagg09PhD.pdf.
have incorporated the SMS Spam Corpus v.0.1 Big. It has 1,002 SMS
ham messages and 322 spam messages and it is public available at:
This corpus has been used in the following academic researches:
Hidalgo, J.M., Cajigas Bringas, G., Puertas Sanz, E., Carrero
García, F. Content
SMS Spam Filtering. Proceedings of the 2006 ACM Symposium on
Document Engineering (ACM DOCENG'06), Amsterdam, The Netherlands,
G. V., Gómez Hidalgo, J. M., and Puertas Sánz, E. Feature
engineering for mobile (SMS) spam filtering.
Proceedings of the 30th Annual international ACM Conference on
Research and Development in information Retrieval (ACM SIGIR'07),
York, NY, 871-872, 2007.
G. V., Gómez Hidalgo, J. M., and Puertas Sánz, E. Spam
filtering for short messages. Proceedings of the 16th ACM
Conference on Information and Knowledge Management (ACM CIKM'07).
Lisbon, Portugal, 313-320, 2007.
is composed by just one text file, where each line has the correct
class followed by the raw message. We offer some examples bellow:
you doing?how are you?
Ok lar... Joking wif u oni...
say so early hor... U c already then say...
MY NO. IN LUTON 0125698789 RING ME IF UR AROUND! H*
is in hostel aha:-.
i was out shopping wif darren jus now n i called him 2 ask wat
present he wan lor. Then he started guessing who i was wif n he
finally guessed darren lor.
Txt: CALL to No: 86888 & claim your reward of 3 hours talk
time to use from your phone now! ubscribe6GBP/ mnth inc 3hrs 16
Quiz! Win a super Sony DVD recorder if you canname the capital
of Australia? Text MQUIZ to 82277. B
URGENT! Your Mobile No 07808726822 was awarded a L2,000 Bonus
Caller Prize on 02/09/03! This is our 2nd attempt to contact
YOU! Call 0871-872-9758 BOX95QU
messages are not chronologically sorted.
carefully the included readme file.
find this dataset useful, you make a reference to the paper below
and the web page: http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/
in your papers, research, etc;
a message to talmeida <AT> ufscar.br or jmgomezh
yahoo.es in case you make use of the corpus.
a comprehensive study of this corpus in the following paper. This
presents a number of statistics, studies and baseline results for
several machine learning methods.
Gómez Hidalgo, J.M., Yamakami, A.
Contributions to the Study of SMS
Spam Filtering: New Collection and Results.
Proceedings of the 2011 ACM Symposium on Document Engineering
(DOCENG'11), Mountain View, CA, USA, 2011. (preprint)
Hidalgo, J.M., Almeida, T.A., Yamakami, A.
On the Validity of a New SMS Spam
Collection. Proceedings of the 11th IEEE
International Conference on Machine Learning and Applications
(ICMLA'12), Boca Raton, FL, USA, 2012. (preprint)
Gómez Hidalgo, J.M., Silva, T.P. Towards
SMS Spam Filtering: Results under a New Dataset.
International Journal of Information Security Science (IJISS), 2(1),
1-18. (Invited paper - full version)
can find more useful information about the SMS Spam Collection v.1
at the following
page of the UCI Repository.
SMS Spam Collection has been created by Tiago
A. Almeida and José
María Gómez Hidalgo.
would like to thank Min-Yen
Kan and his team
for making the NUS
A. Almeida and José
Gómez Hidalgo, 2011.