IBM has launched the Data Asset eXchange (DAX), open-source datasets for machine learning on Tuesday. Though there are various options already available for open datasets, DAX is created with enterprises in the focus.
IBM DAX: Open Source Datasets For Machine Learning
According to IBM, DAX provides high-quality datasets with well-defined open data licenses in standard formats. The company will also provide tutorials and metadata to make it easier for the enterprises to get started with Data Asset eXchange (DAX).
The repository will also provide exclusive access to various IBM and IBM Research datasets. The DAX repository is designed to complement the IBM Model Asset eXchange (MAX). It helps developers and data scientists find open-source machine learning and deep learning models.
As the limitations are nearly zero, you’ll get seamless access to the company’s dataset. For example, IBM is releasing the Finance Proposition Bank and Contracts Proposition Bank datasets. These datasets are part of an active research program to improve the natural language processing underlying some IBM products like Watson Natural Language Understanding.
IBM researchers have created these datasets with input from Watson developers. They matched the target text characteristics to the real-world documents that the system analyzes in production.
They have also used these datasets to train domain-specific versions of the parsers that extract semantic meaning from governing business documents such as legal agreements and financial reports.
IBM also revealed the actual goal in a blog post, “to make it straightforward to use DAX and MAX assets in conjunction with IBM AI products as well as other hybrids, multi-cloud AI tooling, both proprietary and open source.”
Talking about a recent update, IBM also launched three new open-source projects — Kabanero, Appsody, and Codewind on Tuesday, These projects will help developers to build and deploy their cloud-native apps for Kubernetes. The company wants to help businesses adopt hybrid cloud strategies.
Appsody provides pre-configured stacks and templates for popular open source runtimes and frameworks. The developers can use this to build applications for Kubernetes and Knative deployments.
Kabanero integrates runtimes and frameworks with a Kubernetes-native DevOps toolchain. It will include Appsody stacks and templates into its overarching framework.
Lastly, Codewind project managed by the Eclipse Foundation, who are already popular for providing extensions to integrated development environments (IDEs) like VS Code, Eclipse and Eclipse Che. IBM made the first major contribution to Codewind.