{ "citation": "@article{Wahltinez2020,\n author = \"O. Wahltinez and others\",\n year = 2020,\n title = \"COVID-19 Open-Data: curating a fine-grained, global-scale data repository for SARS-CoV-2\",\n note = \"Work in progress\",\n url = {https://goo.gle/covid-19-open-data},\n}", "description": "This repository attempts to assemble the largest Covid-19 epidemiological database\nin addition to a powerful set of expansive covariates. It includes open, publicly sourced,\nlicensed data relating to demographics, economy, epidemiology, geography, health, hospitalizations,\nmobility, government response, weather, and more.\n\nThis particular dataset corresponds to a join of all the different tables that are part of the repository.\nTherefore, expect the resulting samples to be highly sparse.", "downloadSize": "727117248", "fileFormat": "tfrecord", "location": { "urls": [ "https://github.com/GoogleCloudPlatform/covid-19-open-data" ] }, "moduleName": "tensorflow_datasets.structured.covid19.covid19", "name": "covid19", "splits": [ { "name": "train", "numBytes": "309825892121", "shardLengths": [ "11002", "11003", "11002", "11002", "11003", "11002", "11003", "11002", "11002", "11003", "11002", "11002", "11003", "11002", "11002", "11003", "11002", "11003", "11002", "11002", "11003", "11002", "11002", "11003", "11002", "11002", "11003", "11002", "11003", "11002", "11002", "11003", "11002", "11002", "11003", "11002", "11003", 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