We released the "Multiple-Choice QA Dataset on Japanese laws and regulations" on a trial basis by applying Public Data License.
- Published:
Digital Agency has applied Public Data License (PDL) * to the "Multiple Choice QA Dataset on Japanese laws and regulations" and released it to the public on a trial basis by the AI staff and the open data and GIF staff.
Multiple-Choice QA Dataset for Japanese laws and regulations (GitHub)
* Public Data License (PDL): A term of use (license) used by national and local governments to publish content as open data, compatible with Creative Commons CC BY4.0.
About Data Sets
Before you can use AI with confidence in your business, it is essential to check how smart the AI is and how well it can give you the right answers. This dataset was created specifically for potential issues in corporate legal departments, with the goal of measuring the extent to which AI can be applied in the practice of legal departments. In addition to the questions and answers, the dataset also includes excerpts from laws and regulations that may be referenced in practice.
About Public Data License (PDL)
The release of this dataset uses Public Data License (PDL), but this is the first time that "Public Data License" has been released under a license on GitHub (according to Digital Agency).
In the future, we will promote the application of Public Data License (PDL) as a license for publishing datasets on other data portals, etc. In the future, we will promote the application of PDL as a license for publishing datasets on other data portals, etc. AI
Expected effects
With the release of this dataset, we aim to provide information for government agencies when considering the introduction of AI and to serve as a catalyst for concrete discussions.
In addition, by promoting open data through the application of Public Data License (PDL) and through various secondary uses, such as the creation of new services by private companies, the development of AI models, the visualization of local issues by citizens, and the development of academic research, we will contribute to data-driven solutions to social issues and the creation of innovation, and aim to realize a data-driven society.