Context

In partnership with the Harvard Global Health Institute, Google Cloud is releasing the COVID-19 Public Forecasts to serve as an additional resource for first responders in healthcare, the public sector, and other impacted organizations preparing for what lies ahead. These forecasts are available for free and provide a projection of COVID-19 cases, deaths, and other metrics over the next 14 days for US counties and states. For more info, see https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-is-releasing-the-covid-19-public-forecasts and https://storage.googleapis.com/covid-external/COVID-19ForecastWhitePaper.pdf

Content

A projection of COVID-19 cases, deaths, and other metrics over the next 14 days for US counties and states

Acknowledgements

Released on BigQuery by Google Cloud:

https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-is-releasing-the-covid-19-public-forecasts

https://pantheon.corp.google.com/marketplace/product/bigquery-public-datasets/covid19-public-forecasts

The dataset consists of PDFs in Google Cloud Storage from the first page of select US and EU patents, and BigQuery tables with extracted entities, labels, and other properties, including a link to each file in GCS. The structured data contains labels for eleven patent entities (patent inventor, publication date, classification number, patent title, etc.), global properties (US/EU issued, language, invention type), and the location of any figures or schematics on the patent's first page. The structured data is the result of a data entry operation collecting information from PDF documents, making the dataset a useful testing ground for benchmarking and developing AI/ML systems intended to perform broad document understanding tasks like extraction of structured data from unstructured documents. This dataset can be used to develop and benchmark natural language tasks such as named entity recognition and text classification, AI/ML vision tasks such as image classification and object detection, as well as more general AI/ML tasks such as automated data entry and document understanding. Google is sharing this dataset to support the AI/ML community because there is a shortage of document extraction/understanding datasets shared under an open license. This public dataset is hosted in Google Cloud Storage and Google BigQuery. It is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery or this this Cloud Storage quick start guide to begin.

The FCC political ads public inspection files dataset contains political ad file information that broadcast stations have uploaded to their public inspection files, which are housed on the FCC website. This data includes all political ad files that have been provided by TV and radio broadcast stations, which dates back to 2012 when the FCC started requiring digital uploads of files to its website. Broadcasters are required to maintain this data in their public inspection files for two years, after which the stations are permitted to remove them from the FCC website. This information is uploaded to the FCC’s website in PDF form and not machine-readable. However, this dataset includes a content_info table that contains manual annotations of some data fields like advertiser, gross spend, ad air dates and a link to a copy of the PDF, which can be found on Google Cloud Storage. The manual annotations, which are included only for a subset of the PDFs, come from either ProPublica’s Free the Files effort or from Google and are an experimental dataset. This dataset is a work in progress, with additional PDFs continually annotated. All tables in this dataset are updated monthly. For more information about the dataset, visit the FCC website. To provide feedback on this dataset, please contact padl-feedback@googlegroups.com This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .