119 datasets found

The dataset used in the paper "Scaling Laws of Synthetic Images for Model Training". The dataset is used for supervised image classification and zero-shot classification tasks.

The dataset Yahoo Answers contains 730,000 questions and answers.

Measuring machine intelligence through visual question answering.

Exploring models and data for image question answering.

Visual Question Answering (VQA) has emerged as a prominent multi-discipline research problem in both academia and industry.

A number of recent works have proposed attention models for Visual Question Answering (VQA) that generate spatial maps highlighting image regions relevant to answering the...

The VQA 2.0 dataset is used for visual question answering task. It consists of three sets with a train set containing 83k images and 444k questions, a validation set containing...

The dataset used in the paper is the Stanford Natural Language Inference (SNLI) dataset, which consists of 549,367 premise-hypothesis pairs for train/dev/test sets and target...

The VQA-HAT dataset used for visual grounding analysis.

The dataset used in the paper for Visual Question Answering (VQA) task, combining VQA-Introspect and VQAv2 datasets.

The dataset used in the paper is a collection of user queries and corresponding responses generated by the SmartonAI plugin.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the SQUAD 2.0 dataset for Question-Answering and the IMDB dataset for Movie...

CLEVR images contain objects characterized by a set of attributes (shape, color, size and material). The questions are grouped into 5 categories: Exist, Count, CompareInteger,...

The dataset used for sentiment analysis, question type classification, and subjectivity classification tasks.

A dataset for training language models to perform tasks such as question answering and text classification.

The COCO-QA dataset is used for visual question answering task. It consists of 123,287 images and 78,736 train and 38,948 test questions.

The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...

Pre-trained language models (PrLM) have to carefully manage input units when training on a very large text with a vocabulary consisting of millions of words. Previous works have...

Semantic parsing maps a user-issued natural language (NL) utterance to a machine-executable meaning representation (MR), such as λ−calculus (Zettlemoyer and Collins, 2005), SQL...