Before revision:  The dataset  is open-sourced as a part of the BengaliAI Handwritten Grapheme Classification Challenge on Kaggle to benchmark vision algorithms for multi-label grapheme classification.
After revision:  The dataset contains 411k curated samples of 1295 unique commonly used Bengali graphemes. Additionally, the test set contains 900 uncommon Bengali graphemes for out of dictionary performance evaluation. The dataset is open-sourced as a part of the BengaliAI Handwritten Grapheme Classification Challenge on Kaggle to benchmark vision algorithms for multi-label grapheme classification.