Sentence Classification
Donated on 11/4/2014
Contains sentences from the abstract and introduction of 30 articles annotated with a modified Argumentative Zones annotation scheme. These articles come from biology, machine learning and psychology.
Dataset Characteristics
Text
Subject Area
Other
Associated Tasks
Classification
Feature Type
Integer
# Instances
-
# Features
-
Dataset Information
Additional Information
Please see the README file that accompanies the data.
Has Missing Values?
No
Variable Information
Please see the README file that accompanies the data.
Dataset Files
| File | Size |
|---|---|
| SentenceCorpus/Instructions_for_SentenceAnnotation.pdf | 112.1 KB |
| SentenceCorpus/unlabeled_articles/arxiv_unlabeled/235.txt | 58.2 KB |
| SentenceCorpus/unlabeled_articles/arxiv_unlabeled/159.txt | 21.5 KB |
| SentenceCorpus/unlabeled_articles/jdm_unlabeled/58.txt | 20.5 KB |
| SentenceCorpus/unlabeled_articles/arxiv_unlabeled/302.txt | 19.2 KB |
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Install the ucimlrepo package
pip install ucimlrepo
Import the dataset into your code
View the full documentationfrom ucimlrepo import fetch_ucirepo # fetch dataset sentence_classification = fetch_ucirepo(id=311) # data (as pandas dataframes) X = sentence_classification.data.features y = sentence_classification.data.targets # metadata print(sentence_classification.metadata) # variable information print(sentence_classification.variables)
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Citation
Chambers, A. (2013). Sentence Classification [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5D89S.
Style:
Creators
America Chambers
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.