Sold by: Amazon Web Services
Open data
|
Deployed on AWS
This both the original .tfrecords and a Parquet representation of the [YouTube 8 Million dataset](https://research.google.com/youtube8m/). YouTube-8M is a large-scale labeled video dataset that consists of millions of YouTube video IDs, with high-quality machine-generated annotations from a diverse vocabulary of 3,800+ visual entities. It comes with precomputed audio-visual features from billions of frames and audio segments, designed to fit on a single hard disk. This dataset also includes the YouTube-8M Segments data from June 2019.
This dataset is 'Lakehouse Ready'. Meaning, you can query this data in-place straight out of the Registry of Open Data S3 bucket. [Deploy this dataset's corresponding CloudFormation template](https://us-west-2.console.aws.amazon.com/cloudformation/home?region=us-west-2#/stacks/quickcreate?templateUrl=https://aws-roda-ml-datalake.s3.us-west-2.amazonaws.com/YT8MRodaTemplate.RodaTemplate.json&stackName=YT8M-RODA) to create the AWS Glue Catalog entries[...]
Overview
This both the original .tfrecords and a Parquet representation of the YouTube 8 Million dataset . YouTube-8M is a large-scale labeled video dataset that consists of millions of YouTube video IDs, with high-quality machine-generated annotations from a diverse vocabulary of 3,800+ visual entities. It comes with precomputed audio-visual features from billions of frames and audio segments, designed to fit on a single hard disk. This dataset also includes the YouTube-8M Segments data from June 2019. This dataset is 'Lakehouse Ready'. Meaning, you can query this data in-place straight out of the Registry of Open Data S3 bucket. Deploy this dataset's corresponding CloudFormation template to create the AWS Glue Catalog entries into your account in about 30 seconds. That one step will enable you to interact with the data with AWS Athena, AWS SageMaker, AWS EMR, or join into your AWS Redshift clusters. More detail in (the documentation)[https://github.com/aws-samples/data-lake-as-code/blob/roda-ml/README.md .
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Original YT8M *.tfrecords. [File structure info can be found here](https://github.com/aws-samples/data-lake-as-code/blob/roda-ml/docs/roda_install.md).
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::aws-roda-ml-datalake/yt8m/
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://aws-roda-ml-datalake/yt8m//
- Description
- Lakehouse ready YT8M as Glue Parquet files. [Install instructions here](https://github.com/aws-samples/data-lake-as-code/blob/roda-ml/docs/roda_install.md).
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::aws-roda-ml-datalake/yt8m_ods/
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://aws-roda-ml-datalake/yt8m_ods//
- Description
- Replica of the two locations above in us-east-1.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::aws-roda-ml-datalake-us-east-1/
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://aws-roda-ml-datalake-us-east-1//
Resources
Vendor resources
Support
Managed By
How to cite
YouTube 8 Million - Data Lakehouse Ready was accessed on DATE from https://registry.opendata.aws/yt8m .
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