What are Classification datasets used for?

Classification datasets are collections of labelled or raw data used to train, fine-tune, and evaluate models on the classification task. This page lists 87 such datasets, each linking to its source and paper.

Which Classification dataset is best for benchmarking?

3 of these Classification datasets are tracked as benchmarks, including Home Depot Product Search Relevance. See the Benchmarks section for model leaderboards.

How many Classification datasets are there?

We catalog 87 Classification datasets in one searchable directory.

Classification Datasets

There are 87 classification datasets in our directory, 3 of which are benchmarks. Each links to its source, paper, and download — browse the full list below or filter by language.

Classification is the task of sorting inputs into predefined categories — one of the most common supervised-learning tasks. We catalog 87 datasets for it.

What languages do classification datasets cover?

English datasets (58)Arabic datasets (4)Indonesian datasets (4)Bengali datasets (3)Multi-Lingual datasets (3)Chinese datasets (3)Filipino datasets (2)Dutch datasets (2)German datasets (2)Portuguese datasets (1)Polish datasets (1)Italian datasets (1)Kinyarwanda & Kirundi datasets (1)Korean datasets (1)Tunisian datasets (1)Thai datasets (1)

Explore other dataset tasks

General NLP(2546)Text Generation(723)Question Answering(528)Text Classification(228)Text Corpora(199)Image To Text(180)Visual Question Answering(130)Robotics(125)Image Classification(117)Text To Image(103)Summarization(98)Automatic Speech Recognition(93)

What languages do classification datasets cover?

Explore other dataset tasks

Frequently asked questions

What are Classification datasets used for?

Which Classification dataset is best for benchmarking?

How many Classification datasets are there?