196 datasets found

The Autocast++ dataset is a benchmark for event forecasting using news articles.

CLIMA-INS is a dataset composed of semi-structured questionnaires from insurance companies. The dataset is used to train self-supervised models for climate question answering...

CLIMA-CDP is a dataset composed of semi-structured questionnaires from corporations. The dataset is used to train self-supervised models for climate question answering tasks.

Simplifying graph convolutional networks.

The dataset used in the paper is the StackExchange dataset.

The dataset used in the paper to demonstrate the limitations of large language models (LLMs) in capturing inferential aspects of natural language.

The VQA dataset is a large-scale visual question answering dataset that consists of pairs of images that require natural language answers.

A general language assistant for aligning language models with human users

The SimpleQuestion dataset is a dataset for question answering, consisting of 100,000 questions and 1,000,000 answers.

The dataset includes 3,300 Hotpot QA questions.

The dataset includes 3,300 NQA and 3,300 Hotpot QA questions.

The dataset includes 3,610 NQ-OPEN, 3,300 NQA, and 3,300 Hotpot QA questions.

Question answering (QA) can only make progress if we know if an answer is correct, but for many of the most challenging and interesting QA examples, current answer correctness...

The HH-RLHF dataset is a human preference dataset for reinforcement learning from human feedback.

Neural radiance fields (NeRF) excel at synthesizing new views given multi-view, calibrated images of a static scene. When scenes include distractors, which are not persistent...

MLEC is a Chinese multi-choice biomedical question answering dataset.

MedMCQA, a new large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions.

ScholarChemQA is a large-scale QA dataset constructed from chemical papers. Specifically, the questions are from paper titles with a question mark, and the multi-choice answers...

The dataset used in the paper is a collection of adversarial examples and natural examples for question answering tasks.

The REVERIE dataset is a dataset of household tasks in an indoor environment. It contains images annotated with natural language instructions including the referring expressions...