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...

(NLI) FANCY (FActivity, Negation, Common-sense, hYpernimy) is a new dataset with 4000 sentence pairs concerning complex linguistic phenomena such as factivity, negation,...

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...

A set of users' comments crawled and scraped from two main touristic websites (Booking.com and Tripadvisor.com) related to main touristic point of interests in Italy and, in...

A dataset of soccer-logs for all the main soccer leagues in the world, from season 2014/2015 to the current one.

This dataset contains data regarding one full season of soccer games. For each player there are locations (positions in pitch) visited and all the events they generated...

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...

This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in...

https://github.com/HPAI-BSC/ephemerality Code for calculating the ephemerality metrics that can be used to estimate how "ephemeral" discussion topics are based on their...

GSP receives a text document as input and returns an enriched document, where all mentions of places/locations are associated to the corresponding geographic coordinates. To...

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...

The Quantum Distance-Based Classifier is a technique inspired by the classical k-Nearest Neighbors that leverages quantum properties to perform prediction.

We present the first learned index that supports predecessor, range queries and updates within provably efficient time and space bounds in the worst case. In the (static)...

Efficient interpolation-based ranking on CPUs

CLiQS is a Python language software package for social media texts summarization with a diversified approach.

CAsT 2019 data is split into two files one for training and the other one for testing. - Training set: CAsT 2019 conversations from training set and from test set without...

The dataset created for evaluation of summaries generated from social media posted during five natural disasters. The dataset contains: ground truth reports created by human...

If you use this dataset, please cite the following paper: Fedor Vitiugin, Carlos Castillo: Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive...

This tool creates a dictionary with inverse document frequency (idf) values from the Google NGrams dataset.