DAYSTREAM Annotated text corpus of traffic messages

The DAYSTREAM corpus is a data set of 3541 traffic reports in which proper names (e.g. roads, lines, stops), their reference IDs (e.g. DHID, DLID, OSM IDs), as well as relations (e.g. traffic jam, accident, rail replacement traffic) are manually annotated. The dataset can be used as a training or test corpus for information extraction tasks such as proper name recognition, entity linking and relation extraction.

Dataset statistics:

The DAYSTREAM corpus is published under the CC-BY 4.0 license. If you use this data, you should cite the following publication:

A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events. Martin Schiersch, Veselina Mironova, Maximilian Schmitt, Philippe Thomas, Aleksandra Gabryszak, Leonhard Hennig. Proceedings of LREC, 2018.

Further information and details: https://github.com/DFKI-NLP/daystream-corpus/