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Evaluation Dataset for "Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia" (TextGraphs-15 Workshop@NAACL 2021)

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Fine-Grained Contextual Classification Evaluation Dataset

Evaluation Dataset for the following manuscript:

Yiping Jin, Vishakha Kadam and Dittaya Wanvarie, Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia. (TextGraphs-15 Workshop@NAACL 2021)

The files are organized in the folder [coarse category ID]/[fine-grained category name]. Mapping of the coarse-grained category IDs:

IAB1 	 arts-entertainment
IAB2 	 automotive
IAB3 	 business
IAB4 	 careers
IAB5 	 education
IAB6 	 family-parenting
IAB7 	 health-fitness
IAB8 	 food-drink
IAB9 	 hobbies-interests
IAB10 	 home-garden
IAB11 	 law-gov-t-politics
IAB12 	 news
IAB13 	 personal-finance
IAB14 	 society
IAB15 	 science
IAB16 	 pets
IAB17 	 sports
IAB18 	 style-fashion
IAB19 	 technology-computing
IAB20 	 travel
IAB21 	 real-estate
IAB22 	 shopping
IAB23 	 religion-spirituality

You can download the full training dataset here (2.2GB).

If you make use of this dataset for your research, please cite the following paper:

@inproceedings{jin-2021-bootstrapping,
    title = "Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia",
    author = "Jin, Yiping and Kadam, Vishakha and Wanvarie, Dittaya",
    booktitle = "Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs)",
    year = "2021",
    publisher = "Association for Computational Linguistics",
}

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Evaluation Dataset for "Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia" (TextGraphs-15 Workshop@NAACL 2021)

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