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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...-
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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...-
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Introduction to Data Curation
This course is an introduction to data collection, data preparation & transformation and data analysis. It contains the essential concepts for a researcher in order to...-
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Articles and comments of major Estonian newspapers
The dataset contains articles and comments of four major Estonian news portals since early 2000s to 2016. -
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SMAPH Query Entity Linker
The SMAPH system links queries to the entities it mentions, disambiguating mentions if needed. Entities are Wikipedia pages. This problem is known as "entity recognition and...-
HTML
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HTML
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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. -
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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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... -
Wikipedia Word Embeddings
Embeddings were created through applying word2vec skipgram to a corpus of wikipedia non-stub articles from a December 2015 English dump with the following parameters: -cbow 0... -
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... -
Interactive Learning Environments
King’s College London developed a variety of data science materials based on R and Python. R is a de facto standard in statistical computing and visualisation, while our... -
Efficiency - Effectiveness Trade-offs in Learning to Rank
This tutorial provides an 'Introduction to Learning to Rank' and focuses on 'Dealing with the Efficiency/Effectiveness trade-off in Web Search'. Moreover, it provides two...-
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python
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python
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Jupyter Notebooks
King’s College London has developed complete stories around Jupyter Notebooks that form easy recipes for reproducible methods in social data science. Jupyter...-
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