DBpedia Ontology by Kaggle | Technology and IT

About this Dataset

DBpedia Ontology

Text Classification Dataset with 14 Classes

By dbpedia_14 (From Huggingface) [source]

About this dataset

The DBpedia Ontology Classification Dataset, known as dbpedia_14, is a comprehensive and meticulously constructed dataset containing a vast collection of text samples. These samples have been expertly classified into 14 distinct and non-overlapping classes. The dataset draws its information from the highly reliable and up-to-date DBpedia 2014 knowledge base, ensuring the accuracy and relevance of the data.

Each text sample in this extensive dataset consists of various components that provide valuable insights into its content. These components include a title, which succinctly summarizes the main topic or subject matter of the text sample, and content that comprehensively covers all relevant information related to a specific topic.

To facilitate effective training of machine learning models for text classification tasks, each text sample is further associated with a corresponding label. This categorical label serves as an essential element for supervised learning algorithms to classify new instances accurately.

Furthermore, this exceptional dataset is part of the larger DBpedia Ontology Classification Dataset with 14 Classes (dbpedia_14). It offers numerous possibilities for researchers, practitioners, and enthusiasts alike to conduct in-depth analyses ranging from sentiment analysis to topic modeling.

Aspiring data scientists will find great value in utilizing this well-organized dataset for training their machine learning models. Although specific details about train.csv and test.csv files are not provided here due to their dynamic nature, they play pivotal roles during model training and testing processes by respectively providing labeled training samples and unseen test samples.

Lastly, it's worth mentioning that users can refer to the included classes.txt file within this dataset for an exhaustive list of all 14 classes used in classifying these diverse text samples accurately.

Overall, with its wealth of carefully curated textual data across multiple domains and precise class labels assigned based on well-defined categories derived from DBpedia 2014 knowledge base, the DBpedia Ontology Classification Dataset (dbpedia_14) proves instrumental in advancing research efforts related to natural language processing (NLP), text classification, and other related fields

Research Ideas

Text classification: The DBpedia Ontology Classification Dataset can be used to train machine learning models for text classification tasks. With 14 different classes, the dataset is suitable for various classification tasks such as sentiment analysis, topic classification, or intent detection.

Ontology development: The dataset can also be used to improve or expand existing ontologies. By analyzing the text samples and their assigned labels, researchers can identify missing or incorrect relationships between concepts in the ontology and make improvements accordingly.

Semantic search engine: The DBpedia knowledge base is widely used in semantic search engines that aim to provide more accurate and relevant search results by understanding the meaning of user queries and matching them with structured data. This dataset can help in training models for improving the performance of these semantic search engines by enhancing their ability to classify and categorize information accurately based on user queries

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv

Column name	Description
label	The class label assigned to each text sample. (Categorical)
title	The heading or name given to each text sample, providing some context or overview of its content. (Text)

File: test.csv

Column name	Description
label	The class label assigned to each text sample. (Categorical)
title	The heading or name given to each text sample, providing some context or overview of its content. (Text)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit dbpedia_14 (From Huggingface).

Tables

Test

@kaggle.thedevastator_dbpedia_ontology_dataset.test

12.37 MB
70000 rows
3 columns


CREATE TABLE test (
  "label" BIGINT,
  "title" VARCHAR,
  "content" VARCHAR
);

Train

@kaggle.thedevastator_dbpedia_ontology_dataset.train

98.26 MB
560000 rows
3 columns


CREATE TABLE train (
  "label" BIGINT,
  "title" VARCHAR,
  "content" VARCHAR
);