Arxiv dataset download torrent






















The SOTorrent Dataset Online Access (BigQuery) Download (Zenodo) If you use this dataset in your work, please cite our MSR paper.; If you have problems with the dataset or want to propose ideas for improvements, please create an issue here.; If you want to use BigQuery, please follow this tutorial first.; If you use BigQuery and get an “Access Denied” error, check the information.  · Papers published between and Neel Shah. • updated 4 years ago (Version 2) Data Tasks Code (6) Discussion (1) Activity Metadata. .  · Download PDF Abstract: We present a new large-scale multilingual video description dataset, VATEX, which contains over 41, videos and , captions in both English and Chinese. Among the captions, there are over , English-Chinese parallel translation pairs. Compared to the widely-used MSR-VTT dataset, VATEX is multilingual, larger, linguistically complex, and more Missing: torrent.


ArXiv On Kaggle Metadata. This dataset is a mirror of the original ArXiv data. Because the full dataset is rather large (TB and growing), this dataset provides only a metadata file in the json format. This file contains an entry for each paper, containing: id: ArXiv ID (can be used to access the paper, see below) submitter: Who submitted the. Kinetics Dataset: The Kinetics Human Action Video DatasetWill Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Gree, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman. License: No license specified, the work may be protected by copyright. Pre-trained models and datasets built by Google and the community Tools Ecosystem of tools to help you use TensorFlow.


The SOTorrent Dataset Online Access (BigQuery) Download (Zenodo) If you use this dataset in your work, please cite our MSR paper. If you have problems with the dataset or want to propose ideas for improvements, please create an issue here. If you want to use BigQuery, please follow this tutorial first. We present a method to compute the derivative of a learning task with respect to a dataset. A learning task is a function from a training set to the validation error, which can be represented by a trained deep neural network (DNN). The "dataset derivative" is a linear operator, computed around the trained model, that informs how perturbations of the weight of each training sample affect the. Download metadata from ArXiv to create a dataset. Contribute to GabrielePisciotta/arxiv-dataset-download development by creating an account on GitHub.

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