AAAI 2013 Accepted Papers
Donated on 7/29/2014
This data set compromises the metadata for the 2013 AAAI conference's accepted papers (main track only), including paper titles, abstracts, and keywords of varying granularity.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Clustering
Feature Type
-
# Instances
150
# Features
-
Dataset Information
Additional Information
CSV format where each row is a paper and each column is an attribute.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no |
0 to 5 of 5
Additional Variable Information
Title: Free text; title of the paper Keywords: Free text; author-generated keywords Topics: Categorical; author-selected, low-level keywords from conference-provided list High-level keywords: Categorical; author-selected, high-level keywords from conference-provided list
Dataset Files
| File | Size |
|---|---|
| [UCI] AAAI-13 Accepted Papers - Papers.csv | 191.8 KB |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset aaai_2013_accepted_papers = fetch_ucirepo(id=314) # data (as pandas dataframes) X = aaai_2013_accepted_papers.data.features y = aaai_2013_accepted_papers.data.targets # metadata print(aaai_2013_accepted_papers.metadata) # variable information print(aaai_2013_accepted_papers.variables)
Brodley, C. (2014). AAAI 2013 Accepted Papers [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5Q89K.
Creators
Carla Brodley
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.