{"url":"/dataset/numtadb","name":"NumtaDB","full_name":"Assembled Bengali Handwritten Digits","description_markdown":"To benchmark Bengali digit recognition algorithms, a large publicly available dataset is required which is free from biases originating from geographical location, gender, and age. With this aim in mind, NumtaDB, a dataset consisting of more than 85,000 images of hand-written Bengali digits, has been assembled.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/BengaliAI/numta","introduced_date":"2018-06-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/numtadb-assembled-bengali-handwritten-digits","title":"NumtaDB - Assembled Bengali Handwritten Digits","first_author":"Samiul Alam","url":null},"license":{"name":"CC-BY-SA","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Handwritten Digit Recognition","url":"/task/handwritten-digit-recognition","datasets_with_task":"/datasets/task/handwritten-digit-recognition"}],"languages":[{"name":"Bengali","url":"/datasets/language/bengali"}],"variants":["NumtaDB"],"data_loaders":[],"num_papers_in_archive":7,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}