Catalogue of Tools & Metrics for Trustworthy AI

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



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.

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.