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Private Cybersecurity NER BERT-base-cased model
This method includes a Python script and files of a BERT-base-cased model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that... -
Cybersecurity NER RoBERTa-base model
This method includes a Python script and files of a RoBERTa-base model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that will...-
JSON
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TXT
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BIN
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JSON
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ZIP
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JSON
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JSON
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ZIP
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JSON
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JSON
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ZIP
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py
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JSON
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Spotify Tracks Dataset (full)
The dataset is created exploiting the Spotify API and the tracks id provided by the authors of https://www.kaggle.com/datasets/maharshipandya/-spotify-tracks-dataset.... The... -
Private Smart Cities Weather and Pollution conditions
A set of weather and climatic conditions gathered during the Toolsmart PoN project ( Open Community PA 2020 – Pon Governance 2014-2020). Data are obtained from IoT based... -
Spotify track dataset (small)
The dataset is created exploiting the Spotify API and the tracks id provided by the authors of https://www.kaggle.com/datasets/maharshipandya/-spotify-tracks-dataset.... The...-
ZIP
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ZIP
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Santorini Tweets July-August 2021
This dataset contains 225.501 tweets written by 141.277 users. These tweets are geolocated in Santorini, or they contain the word or the hashtag "santorini" in the text. They...-
ZIP
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ZIP
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SWH Filenames
A 69 GB dataset with ~2.3 billion strings representing deduplicated names of source code files collected by Software Heritage, the great library of source code...-
ZIP
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ZIP
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Quantum Distance-Based Classifier
The Quantum Distance-Based Classifier is a technique inspired by the classical k-Nearest Neighbors that leverages quantum properties to perform prediction. -
Using Computer Vision Techniques to Study Images from the Web [Video Tutorial]
The video tutorial discusses using computer vision techniques to study online images, including case studies, research methods, challenges faced, and lessons learned. -
Analysing Meme Collections with the Computer Vision Network Approach [Video T...
The video tutorial presents techniques for analysing meme collections with the computer vision network approach, including seven steps for network building and interpretation,... -
Making meme collections [Video Tutorial]
The video tutorial discusses making meme collections, including the meme as a technical collection of objects, automated visual analysis, and meme collection distinctiveness. -
Private Boilernet
Deploys an artificial neural network to remove the boilerplate from HTML files. Annotates the text content in the file or extracts the text from the HTML file. -
Multi-Task Faces (MTF) dataset
The Multi-Task Faces (MTF) dataset consists of cropped human faces for classification tasks or other research purposes. Each image in the dataset is labelled according to four...-
ZIP
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ZIP
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CoPhIR
The CoPhIR (Content-based Photo Image Retrieval) Test-Collection has been developed to make significant tests on the scalability of the SAPIR project infrastructure (SAPIR:... -
The Italian Music Dataset
The dataset is built by exploiting the Spotify and SoundCloud APIs. It is composed of over 14,500 different songs of both famous and less famous Italian musicians. Each song...-
JSON
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JSON
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GERDAQ Dataset
This is a benchmark dataset of annotated search-engine queries. Mentions of entities in search-engine queries are tagged with the entity they refer to. Wikipedia is used as...-
XML
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XML
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ArchiveSpark
ArchiveSpark is an Apache Spark framework for easy data access, processing, extraction as well as derivation for Web archives and archival collections. It has a simple and... -
German Academic Web
The dataset contains regular crawls of the websites for German academic institutions. -
MSN Search query log
The data consists of an MSN Search query log excerpt with 15 million queries, from US users, sampled over one month of activity. Data attributes made available per query: 1)... -
Product Reviews for Ordinal Quantification
This data set comprises a labeled training set, validation samples, and testing samples for ordinal quantification. It appears in our research paper "Ordinal Quantification...
