All Datasets

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Dataset for Smoker Classification Challenge

Dataset for License Plate Recognition Challenge

Dataset for Spaceship Titanic Prediction Challenge

Dataset for Melanoma Skin Cancer Classification Challenge

Dataset for Iris Flower Classification Challenge

Dataset for Email Spam Classification Challenge

Dataset for Pneumonia Chest X-Ray Classification Challenge

Data for Pothole Detection Challenge

Dataset for Face Anti-Spoofing Challenge

Dataset for Movie Reviews Challenge

Dataset for Housing Prices Challenge

CodeComplex consists of 4,500 Java codes submitted to programming competitions by human programmers and their complexity labels annotated by a group of algorithm experts.

DocLayNet is a human-annotated document layout segmentation dataset, containing 80863 pages from a broad variety of document sources.

The SciTLDR dataset provides a valuable resource for research and development in the field of summarization.

'Story Cloze Test' is a new commonsense reasoning framework for evaluating story understanding, story generation, and script learning. This test requires a system to choose the correct ending to a four-sentence story.

The TOFU dataset serves as a benchmark for evaluating unlearning performance of large language models on realistic tasks.

TextVQA is a dataset to benchmark visual reasoning based on text in images. TextVQA requires models to read and reason about text in images to answer questions about them.

This dataset is a great resource for researchers who want to evaluate cross-lingual question answering performance.

Building machines with commonsense to compose realistically plausible sentences is challenging. CommonGen is a constrained text generation task, associated with a benchmark dataset, to explicitly test machines for the ability of generative commonsense reasoning. Given a set of common concepts; the task is to generate a coherent sentence describing an everyday sce- nario using these concepts.