Overview
The Groningen Meaning Bank (GMB) is a dataset of multi-sentence texts, together with annotations for parts-of-speech, named entities, lexical categories and other natural language structural phenomena.
Dataset Metadata
| Field | Value |
|---|---|
| Format | IOB format |
| License | CDLA-Sharing |
| Domain | Natural Language Processing |
| Number of Records | 1,314,115 terms |
| Size | 10 MB |
| Origin | University of Groningen |
| Dataset Version Update | Version 2 – May 14, 2020 Version 1 – December 19, 2019 |
| Data Coverage | The dataset contains only documents authored by Voice of America VOA, together with documents from the MASC dataset and the CIA World Factbook. |
| Business Use Case | Linguistics: Can be used to train a model to perform named entity recognition or part-of-speech tagging, as well as to generate new text features. |
Dataset Archive Contents
| File or Folder | Description |
|---|---|
gmb_subset_full.txt |
A full version of the raw dataset. Used to train MAX model – Named Entity Tagger. |
LICENSE.txt |
Terms of Use |
README.txt |
Explains dataset information |
Data Glossary and Preview
Click here to explore the data glossary, sample records, and additional dataset metadata.
Use the Dataset
This dataset is complemented by data exploration, data visualization, and modeling Python notebooks to help you get started:
Quick access in Python (requires the pardata pypi package):
$ pip install pardata
import pardata
data = pardata.load_dataset('gmb')
Citation
@incollection{Bos2017GMB,
title = {The Groningen Meaning Bank},
author = {Bos, Johan and Basile, Valerio and Evang, Kilian and Venhuizen, Noortje and Bjerva, Johannes},
booktitle = {Handbook of Linguistic Annotation},
editor = {Ide, Nancy and Pustejovsky, James},
publisher = {Springer},
volume = {2},
pages = {463--496},
year = {2017}
}
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