Published May 23, 2021 | Version 1.0.1
Dataset Open

Neural Language Models for Nineteenth-Century English (dataset; language model zoo)

  • 1. The Alan Turing Institute, London, UK
  • 2. Institute for Logic, Language and Computation, University of Amsterdam, NL


This dataset contains four types of neural language models trained on a large historical dataset of books in English, published between 1760-1900 and comprised of ~5.1 billion tokens. The language model architectures include static (word2vec and fastText) and contextualized models (BERT and Flair). For each architecture, we trained a model instance using the whole dataset. Additionally, we trained separate instances on text published before 1850 for the two static models, and four instances considering different time slices for BERT.

Github repository:


Files (13.2 GB)

Name Size Download all
2.0 GB Preview Download
8.5 GB Preview Download
71.0 MB Preview Download
3.3 kB Preview Download
2.6 GB Preview Download

Additional details


Living with Machines AH/S01179X/1
UK Research and Innovation
The Alan Turing Institute EP/N510129/1
UK Research and Innovation