Duplicate from ucirvine/sms_spam

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README.md

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+---
+annotations_creators:
+- crowdsourced
+- found
+language_creators:
+- crowdsourced
+- found
+language:
+- en
+license:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- extended|other-nus-sms-corpus
+task_categories:
+- text-classification
+task_ids:
+- intent-classification
+paperswithcode_id: sms-spam-collection-data-set
+pretty_name: SMS Spam Collection Data Set
+dataset_info:
+  config_name: plain_text
+  features:
+  - name: sms
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': ham
+          '1': spam
+  splits:
+  - name: train
+    num_bytes: 521752
+    num_examples: 5574
+  download_size: 358869
+  dataset_size: 521752
+configs:
+- config_name: plain_text
+  data_files:
+  - split: train
+    path: plain_text/train-*
+  default: true
+train-eval-index:
+- config: plain_text
+  task: text-classification
+  task_id: binary_classification
+  splits:
+    train_split: train
+  col_mapping:
+    sms: text
+    label: target
+  metrics:
+  - type: accuracy
+    name: Accuracy
+  - type: f1
+    name: F1 macro
+    args:
+      average: macro
+  - type: f1
+    name: F1 micro
+    args:
+      average: micro
+  - type: f1
+    name: F1 weighted
+    args:
+      average: weighted
+  - type: precision
+    name: Precision macro
+    args:
+      average: macro
+  - type: precision
+    name: Precision micro
+    args:
+      average: micro
+  - type: precision
+    name: Precision weighted
+    args:
+      average: weighted
+  - type: recall
+    name: Recall macro
+    args:
+      average: macro
+  - type: recall
+    name: Recall micro
+    args:
+      average: micro
+  - type: recall
+    name: Recall weighted
+    args:
+      average: weighted
+---
+
+# Dataset Card for [Dataset Name]
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [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)
+  - [Contributions](#contributions)
+
+## 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)",
+}
+
+### Contributions
+
+Thanks to [@czabo](https://github.com/czabo) for adding this dataset.

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