Inflation Research Abstracts Classification
Donated on 2/16/2025
This data set contains scientific papers abstracts from economics inflation. The task is to classify them according to their machine learning methodologies inclusion.
Dataset Characteristics
Text
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Categorical, Integer
# Instances
1138
# Features
1
Dataset Information
Has Missing Values?
No
Introductory Paper
By Daniela Agostina Gonzalez. 2025
Published in Studies of Applied Economics
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| DOI | ID | Categorical | A unique digital identifier assigned to each article. This field has four missing values. | 1134 | yes |
| Abstract | Feature | Categorical | The abstract of a research article related to inflation in economics. | 1138 | no |
| Label | Target | Binary | A binary indicator where 1 denotes that the article relates to machine learning or artificial intelligence methodologies, and 0 indicates that it does not. | 1138 | no |
0 to 3 of 3
Additional Variable Information
This dataset contains economics research abstracts classified based on their use or application of machine learning algorithms. It is part of the analysis presented in the paper Exploring the Impact of Machine Learning and AI on Inflation Prediction: A Bibliometric Approach, published in Studies of Applied Economics, Vol. 43, No. 1 (2025). If you use this dataset, please cite the paper: https://doi.org/10.25115/3g2qqj59. The dataset is formatted in JSON, with the following keys: "DOI", "Abstract", and "Label". The "Label" values are stored as strings but can be converted to integers by removing the quotation marks.
Class Labels
1. DOI (text): A unique digital identifier assigned to each article. This field has four missing values. 2. Abstract (text): The abstract of a research article related to inflation in economics. 3. Label (categorical): A binary indicator where 1 denotes that the article relates to machine learning or artificial intelligence methodologies, and 0 indicates that it does not.
Dataset Files
| File | Size |
|---|---|
| classified_abstracts.json | 1.3 MB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset inflation_research_abstracts_classification = fetch_ucirepo(id=1125) # data (as pandas dataframes) X = inflation_research_abstracts_classification.data.features y = inflation_research_abstracts_classification.data.targets # metadata print(inflation_research_abstracts_classification.metadata) # variable information print(inflation_research_abstracts_classification.variables)
Gonzalez, D. (2025). Inflation Research Abstracts Classification [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5ZC9S.
Keywords
Creators
Daniela Agostina Gonzalez
Facultad de Ciencias Económicas, Universidad Nacional de Córdoba
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.