web_of_science / README.md
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metadata
language:
  - en
paperswithcode_id: web-of-science-dataset
pretty_name: Web of Science Dataset
dataset_info:
  - config_name: WOS5736
    features:
      - name: input_data
        dtype: string
      - name: label
        dtype: int32
      - name: label_level_1
        dtype: int32
      - name: label_level_2
        dtype: int32
    splits:
      - name: train
        num_bytes: 8051533
        num_examples: 5736
    download_size: 60222421
    dataset_size: 8051533
  - config_name: WOS11967
    features:
      - name: input_data
        dtype: string
      - name: label
        dtype: int32
      - name: label_level_1
        dtype: int32
      - name: label_level_2
        dtype: int32
    splits:
      - name: train
        num_bytes: 16248391
        num_examples: 11967
    download_size: 60222421
    dataset_size: 16248391
  - config_name: WOS46985
    features:
      - name: input_data
        dtype: string
      - name: label
        dtype: int32
      - name: label_level_1
        dtype: int32
      - name: label_level_2
        dtype: int32
    splits:
      - name: train
        num_bytes: 65471726
        num_examples: 46985
    download_size: 60222421
    dataset_size: 65471726

Dataset Card for "web_of_science"

Table of Contents

Dataset Description

Dataset Summary

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) Web of Science Dataset WOS-5736 -This dataset contains 5,736 documents with 11 categories which include 3 parents categories.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

WOS11967

  • Size of downloaded dataset files: 60.22 MB
  • Size of the generated dataset: 16.25 MB
  • Total amount of disk used: 76.48 MB

An example of 'train' looks as follows.


WOS46985

  • Size of downloaded dataset files: 60.22 MB
  • Size of the generated dataset: 65.50 MB
  • Total amount of disk used: 125.72 MB

An example of 'train' looks as follows.


WOS5736

  • Size of downloaded dataset files: 60.22 MB
  • Size of the generated dataset: 8.05 MB
  • Total amount of disk used: 68.27 MB

An example of 'train' looks as follows.


Data Fields

The data fields are the same among all splits.

WOS11967

  • input_data: a string feature.
  • label: a int32 feature.
  • label_level_1: a int32 feature.
  • label_level_2: a int32 feature.

WOS46985

  • input_data: a string feature.
  • label: a int32 feature.
  • label_level_1: a int32 feature.
  • label_level_2: a int32 feature.

WOS5736

  • input_data: a string feature.
  • label: a int32 feature.
  • label_level_1: a int32 feature.
  • label_level_2: a int32 feature.

Data Splits

name train
WOS11967 11967
WOS46985 46985
WOS5736 5736

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information

@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}
}

Contributions

Thanks to @thomwolf, @lhoestq, @mariamabarham, @lewtun for adding this dataset.