420 datasets found

The Persona dataset contains 99 different personas, each entailing 500 statements that align and 500 statements that disagree with the persona trait.

The LyricCanvas dataset is a large-scale collection of lyrics with noisy visual descriptions that represent their implicit meaning.

The dataset used in the paper is a multiple-choice reading comprehension dataset, which includes a passage, question, and answer. The passage is a script, and the question is a...

South African English and Luganda datasets

ASR-free keyword spotting in low-resource languages

A dataset of prompt injection attacks for evaluating the effectiveness of Tensor Trust in detecting prompt injection attacks.

A dataset of system prompts and user prompts for evaluating the effectiveness of SPML in detecting prompt injection attacks.

The Natural Questions dataset consists of questions extracted from web queries, with each question accompanied by a corresponding Wikipedia article containing the answer.

The TriviaQA dataset is a collection of questions sourced from Quiz League websites, with sentence-level supporting facts annotation.

Examining the state-of-the-art in news timeline summarization.

The dataset used for the experiments across ten models– ranging from bag-of-words models to pre-trained transformers– and find that a model having higher AUC does not necessarily...

A dataset for training a compositional hierarchical recurrent network to follow natural language commands in continuous environments.

The dataset is used for training and evaluating the MS MARCO model, a question answering model.

The authors present a photorealistic text-to-image diffusion model with deep language understanding.

The Google Speech Commands Dataset contains 64,727 one-second-long utterance files which are recorded and labeled with one of 30 target categories.

Keyword spotting (KWS) plays a critical role in enabling speech-based user interactions on smart devices. Recent developments in the field of deep learning have led to wide...

The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used various benchmarks such as Wiki-40B, PG-19, C4, etc.

Multimodal models trained on large natural image-text pair datasets have exhibited astounding abilities in gener-ating high-quality images. Medical imaging data is fundamentally...

A multimodal large language model for interpreting chest X-ray images

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10 and CIFAR-100 datasets for image classification, and ImageNet-100...