The Super Dataset in the World is a groundbreaking, all-encompassing data repository designed to empower researchers, developers, and industry professionals with an unparalleled resource for machine learning, data analytics, and AI innovation. Meticulously curated from diverse, high-quality sources across multiple domains, this dataset sets a new benchmark in data comprehensiveness, accuracy, and scalability

The Benchmark of Linguistic Minimal Pairs, a challenge set for evaluating the linguistic knowledge of language models (LMs) on major grammatical phenomena in English, finds that state-of-the-art models identify morphological contrasts related to agreement reliably, but they struggle with some subtle semantic and syntactic phenomena.

NIH Chest X-Ray is a large dataset containing chest X-ray images of patients collected by the National Institutes of Health (NIH) of the United States.

moodeng-dataset-pro-1.42

This is the repository for PLOD Dataset subset being used for CW in NLP module 2023-2024 at University of Surrey.

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

MNIST is used to train and evaluate image classification models in complex tasks.

To create these datasets, the authors automatically translated the original CSQA and CODAH datasets, originally available only in English, into 15 other languages.