These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Datasets of Annotated Semantic Relationships

This repository contains annotated datasets which can be used to train supervised models for the task of semantic relationship extraction. If you know any more datasets, and want to contribute, please, notify me or submit a PR.
It's divided in 3 groups:
Traditional Information Extraction: relationships are manually annotated, and belongs to pre-determined type, i.e. a closed number of classes.
Open Information Extraction: relationships are manually annotated, but don't have any specific type.
Distantly Supervised: relationships are annotated by appying some Distant Supervision technique and are pre-determined.
About the tool
You can click on the links to see the associated tools
Tool type(s):
Objective(s):
Purpose(s):
Country/Territory of origin:
Lifecycle stage(s):
Type of approach:
Target users:
Github stars:
- 676
Github forks:
- 132
Use Cases
Would you like to submit a use case for this tool?
If you have used this tool, we would love to know more about your experience.
Add use case

























