A Chinese dataset for table-to-text generation named WIKIBIOCN which inculeds 33,244 biography sentences with related tables from Chinese Wikipedia (July 2018).
The dataset is divided into training set (30,000), verification set (1000) and test set (2,244).
We conduct experiments with the datasets of SemEval 2014 task4 to evaluate our model, the SemEval 2014 datasets consist of reviews in two categories: Restaurant and Laptop, and the reviews contains three labels of sentiment polarity: {positive, negative, neutral}
We crawled large amounts of biomedical articles from PubMed for the keyphrase extraction system evaluation.
The articles, that consist of title, abstract and keyphrases provided by the authors, are used for the experiments.
In our paper, cancer-related biomedical articles are selected.
Since there is no image-based personality dataset, we used the ChaLearn dataset for creating a new dataset that met the characteristics we required for this work, i.e., selfie images where only one person appears and his face is visible, labeled with the person's apparent personality in the photo.
These datasets are used to detect Intrusions in Controller Area Network (CAN) bus. Intrusions are detected using various Machine Learning and Deep Learning algorithms.
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With the development of audio synthesis techniques, the most state-of-art synthesis methods based on Generative Adversarial Network(GAN) have been proposed. Whether the automatic speaker verification (ASV) systems are vulnerability to the GAN based synthesized audios is urgently needed to be verified. We present a publicly available set of GAN based synthesized audios generated by some open source schemes (WaveGAN,TifGAN,GANSynth,MelGAN), which allows researches to verify impact of the GAN-synthetic audio on security of ASV systems.
Long-term 3DC Dataset as described in
Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition
ArPC is an Arabic paraphrase identification corpus. It consists of 1331 sentence pairs along with their binary score that indicates weather the pairs are paraphrase or not. The corpus has been manually annotated by three Arabic native speakers.
Research on damage detection of road surfaces has been an active area of research, but most studies have focused so far on the detection of the presence of damages. However, in real-world scenarios, road managers need to clearly understand the type of damage and its extent in order to take effective action in advance or to allocate the necessary resources. Moreover, currently there are few uniform and openly available road damage datasets, leading to a lack of a common benchmark for road damage detection.
The 2020 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS) and the Technical University of Munich, aims to promote research in large-scale land cover mapping based on weakly supervised learning from globally available multimodal satellite data. The task is to train a machine learning model for global land cover mapping based on weakly annotated samples.
