Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
ArXiv:
License:
| Copyright (c) 2017 Kamran Kowsari | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this dataset and associated documentation files (the "Dataset"), to deal | |
| in the dataset without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Dataset, and to permit persons to whom the dataset is | |
| furnished to do so, subject to the following conditions: | |
| The above copyright notice and this permission notice shall be included in all | |
| copies or substantial portions of the Dataset. | |
| If you use this dataset please cite: | |
| Referenced paper: HDLTex: Hierarchical Deep Learning for Text Classification | |
| Description of Dataset: | |
| Here is three datasets which include WOS-11967 , WOS-46985, and WOS-5736 | |
| Each folder contains: | |
| -X.txt | |
| -Y.txt | |
| -YL1.txt | |
| -YL2.txt | |
| X is input data that include text sequences | |
| Y is target value | |
| YL1 is target value of level one (parent label) | |
| YL2 is target value of level one (child label) | |
| Meta-data: | |
| This folder contain on data file as following attribute: | |
| Y1 Y2 Y Domain area keywords Abstract | |
| Abstract is input data that include text sequences of 46,985 published paper | |
| Y is target value | |
| YL1 is target value of level one (parent label) | |
| YL2 is target value of level one (child label) | |
| Domain is majaor domain which include 7 labales: {Computer Science,Electrical Engineering, Psychology, Mechanical Engineering,Civil Engineering, Medical Science, biochemistry} | |
| area is subdomain or area of the paper such as CS-> computer graphics which contain 134 labels. | |
| keywords : is authors keyword of the papers | |
| Web of Science Dataset WOS-11967 | |
| -This dataset contains 11,967 documents with 35 categories which include 7 parents categories. | |
| Web of Science Dataset WOS-46985 | |
| -This dataset contains 46,985 documents with 134 categories which include 7 parents categories. | |
| Web of Science Dataset WOS-5736 | |
| -This dataset contains 5,736 documents with 11 categories which include 3 parents categories. | |
| Referenced paper: HDLTex: Hierarchical Deep Learning for Text Classification | |
| Bib: | |
| @inproceedings{kowsari2017HDLTex, | |
| title={HDLTex: Hierarchical Deep Learning for Text Classification}, | |
| author={Kowsari, Kamran and Brown, Donald E and Heidarysafa, Mojtaba and Jafari Meimandi, Kiana and and Gerber, Matthew S and Barnes, Laura E}, | |
| booktitle={Machine Learning and Applications (ICMLA), 2017 16th IEEE International Conference on}, | |
| year={2017}, | |
| organization={IEEE} | |
| } | |