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Progress in Automated Handwriting Recognition has been hampered by the lackof large training datasets. Nearly all research uses a set of small datasetsthat often cause models to overfit. We present CENSUS-HWR, a new datasetconsisting of full English handwritten words in 1,812,014 gray scale images. Atotal of 1,865,134 handwritten texts from a vocabulary of 10,711 words in theEnglish language are present in this collection. This dataset is intended toserve handwriting models as a benchmark for deep learning algorithms. This hugeEnglish handwriting recognition dataset has been extracted from the US 1930 and1940 censuses taken by approximately 70,000 enumerators each year. The datasetand the trained model with their weights are freely available to download athttps://censustree.org/data.html.

CENSUS-HWR: a large training dataset for offline handwriting recognition