Dataset Card for Binghamton HCI Class Project 2 - Sequence Digits Recognition Task

Dataset Summary

The Binghamton HCI Class Project 2: Sequence Digits Recognition Task dataset is a subset of the MJ Synth Dataset, specifically 1/10 of its original size. The MJSynth dataset consists of 9 million images covering 90,000 English words. For this project, the subset focuses exclusively on recognizing sequences of English digits (0-9) from images.

The dataset retains the original training, validation, and test splits used in the full MJSynth dataset and is ideal for sequence modeling tasks, particularly multi-class classification of digit sequences. This dataset provides a smaller but diverse sample suitable for experimenting with models that handle digit sequence recognition, image-to-sequence tasks, and sequence-based classification.