219 datasets found

The implicit hate dataset is a specialized collection of data aimed at detecting hate speech.

The HateXplain dataset is a benchmark dataset for explainable hate speech detection.

The dataset used for probing LLMs for hate speech detection, including HateXplain, implicit hate, and ToxicSpans datasets.

Visual instruction tuning.

Flamingo: a visual language model for few-shot learning.

Audio-visual scene-aware dialog.

ChatBridge is a multimodal language model capable of perceiving real-world multimodal information, as well as following instructions, thinking, and interacting with humans in...

The Switchboard corpus is a dataset of speech recordings from a switchboard, which is a device that allows multiple people to speak at the same time.

Diffusion models have emerged as a power-ful paradigm for generation, obtaining strong performance in various continuous domains. However, applying continuous diffusion models...

A language model that demonstrates capabilities in processing and generating human-like text.

An open-domain QA dataset that consists of a question, a retrieved article, a selected paragraph from the article, and a short answer inferable from the paragraph.

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...

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.

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...

Visual Question Answering (VQA) has achieved great success thanks to the fast development of deep neural networks (DNN). On the other hand, the data augmentation, as one of the...

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...

The CSL dataset is a large-scale Chinese scientific literature dataset obtained from the "Qianyan" open-source NLP platform. It consists of 396,209 Chinese core journal papers'...