datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
test-dataset-v1CHASE-Code
CHASE: Challenging AI with Synthetic Evaluations
The pace of evolution of Large Language Models (LLMs) necessitates new approaches for rigorous and comprehensive evaluation. Traditional human annotation is increasingly impracticable due to the complexities and costs involved in generating high-quality, challenging problems. In this work, we introduce **CHASE**, a unified framework to synthetically generate challenging problems using LLMs without human involvement. For a given task… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/CHASE-Code.follow-line-dataset-v3ceo-quotes-verified-sample
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Executive
Role
Why They Matter
Jensen Huang
CEO, NVIDIA
Every AI… See the full description on the dataset page: https://huggingface.co/datasets/codelucas/ceo-quotes-verified-sample.rebus-dataset
|🔄 🚍| Re-Bus: A Large and Diverse Multimodal Benchmark for evaluating the ability of Vision-Language Models to understand Rebus Puzzles
Understanding Rebus Puzzles requires a variety of skills such as image recognition, cognitive skills, commonsense reasoning, and multi-step reasoning, making this a challenging task for current Vision-Language Models. In this paper, we present Re-Bus, a large and diverse benchmark of 1,333 English Rebus Puzzles containing different artistic… See the full description on the dataset page: https://huggingface.co/datasets/codergautam/rebus-dataset.top-vs-code-extension