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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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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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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... -
FANCY Dataset
(NLI) FANCY (FActivity, Negation, Common-sense, hYpernimy) is a new dataset with 4000 sentence pairs concerning complex linguistic phenomena such as factivity, negation,... -
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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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. -
CLiQS
CLiQS is a Python language software package for social media texts summarization with a diversified approach. -
Dictionary creator
This tool creates a dictionary with inverse document frequency (idf) values from the Google NGrams dataset. -
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... -
Conversational search dataset with labels
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... -
Cross-Lingual Dataset of Crisis-Related Social Media
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... -
Dataset for Evaluating Abstractive Summaries of Crisis-Related Social Media
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... -
PyGM
Python library implementing sorted containers with state-of-the-art query performance and compressed memory usage.