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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01jaykin01 /advertisement-copytext1K<n<10K7 likes21 downloads3y agoHugging Face02Chinxian1121 /advertisementTexttext10K<n<100K1 likes15 downloads3y agoHugging Face03vsak /enron_advertisements_clustertextn<1K0 likes9 downloads3y agoHugging Face04antitheft159 /AdvertisementSalesDataAnalysistabularn<1K0 likes8 downloads2y agoHugging Face05interneuronai /advertisement_cap_on_banner_classification_bert_dataset Advertisement Cap on Banner Classification Description: Automatically classify and assign appropriate advertisement cap to banners to streamline manufacturing and delivery processes. How to Use Here is how to use this model to classify text into different categories: from transformers import AutoModelForSequenceClassification, AutoTokenizer model_name = "interneuronai/advertisement_cap_on_banner_classification_bert" model =… See the full description on the dataset page: https://huggingface.co/datasets/interneuronai/advertisement_cap_on_banner_classification_bert_dataset.textn<1K0 likes6 downloads2y agoHugging Face06HectorRguez /corp_advertisement_dataset Corporation Advertisement Dataset This dataset contains information about well-known companies that are commonly featured as sponsors on YouTube and other digital platforms. The data focuses on brands frequently seen in influencer marketing and online advertising campaigns. Dataset Structure The dataset includes the following fields for each company: Name: Company/brand name Category: Business sector (VPN/Privacy, Tech/Electronics, Education, Shopping/E-commerce, etc.)… See the full description on the dataset page: https://huggingface.co/datasets/HectorRguez/corp_advertisement_dataset.textn<1K1 likes4 downloads1y agoHugging Face07thomask1018 /advertisement_subgroupgatedtabular1M<n<10M1 likes2 downloads2y agoHugging Face08VigilanteWWW /French_Advertisements_Transcriptsgatedtext1K<n<10K1 likes2 downloads1y agoHugging Face

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