Datasets:
Tasks:
Text Classification
Sub-tasks:
intent-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Source Datasets:
extended|other-nus-sms-corpus
License:
| annotations_creators: | |
| - crowdsourced | |
| - found | |
| language_creators: | |
| - crowdsourced | |
| - found | |
| languages: | |
| - en | |
| licenses: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 1K<n<10K | |
| source_datasets: | |
| - extended|other-nus-sms-corpus | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - intent-classification | |
| # Dataset Card for [Dataset Name] | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-instances) | |
| - [Data Splits](#data-instances) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| ## Dataset Description | |
| - **Homepage:** http://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection | |
| - **Repository:** | |
| - **Paper:** Almeida, T.A., Gomez 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 (ACM DOCENG'11), Mountain View, CA, USA, 2011. | |
| - **Leaderboard:** | |
| - **Point of Contact:** | |
| ### Dataset Summary | |
| The SMS 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 English, real and non-enconded messages, tagged according being legitimate (ham) or spam. | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed] | |
| ### Languages | |
| English | |
| ## Dataset Structure | |
| ### Data Instances | |
| [More Information Needed] | |
| ### Data Fields | |
| - sms: the sms message | |
| - label: indicating if the sms message is ham or spam, ham means it is not spam | |
| ### Data Splits | |
| [More Information Needed] | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed] | |
| #### Who are the source language producers? | |
| [More Information Needed] | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed] | |
| #### Who are the annotators? | |
| [More Information Needed] | |
| ### Personal and Sensitive Information | |
| [More Information Needed] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed] | |
| ### Discussion of Biases | |
| [More Information Needed] | |
| ### Other Known Limitations | |
| [More Information Needed] | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed] | |
| ### Licensing Information | |
| [More Information Needed] | |
| ### Citation Information | |
| @inproceedings{Almeida2011SpamFiltering, | |
| title={Contributions to the Study of SMS Spam Filtering: New Collection and Results}, | |
| author={Tiago A. Almeida and Jose Maria Gomez Hidalgo and Akebo Yamakami}, | |
| year={2011}, | |
| booktitle = "Proceedings of the 2011 ACM Symposium on Document Engineering (DOCENG'11)", | |
| } | |