Datasets:
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
creativity
creativity understanding
multimodal-large-language-models
vision-language
multi-turn
License:
File size: 1,382 Bytes
15b42c5 eb6487b 7fe2629 15b42c5 05719fb 15b42c5 4354fc0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
---
license: cc-by-nc-4.0
task_categories:
- visual-question-answering
- question-answering
language:
- en
tags:
- creativity
- creativity understanding
- multimodal-large-language-models
- vision-language
- multi-turn
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: static
path: static.parquet
- split: dynamic
path: dynamic.parquet
---
# GuessBench
This repository contains the questions and answers for GuessBench. At present, both the data and the test code are available. We welcome everyone to use and explore our benchmark!
## Introduction
GuessBench is a novel benchmark that evaluates Vision Language Models (VLMs) on modeling the pervasive, noisy, and pluralistic human creativity. GuessBench sources data from "Guess the Build", an online multiplayer Minecraft minigame where one player constructs a Minecraft build given a concept (e.g., caterpillar) and others try to guess it with natural language hints, presenting a pristine testbed for sensemaking creativity in the wild with VLMs acting as guessers. We curate 1500 images from the actual gameplay and design 2000 problems spanning static and dynamic image settings, natural language hints of varying completeness, and more.
## Overview
|