metadata
dataset_info:
features:
- name: image
dtype: image
- name: AnnotatorId
dtype: string
- name: ImgId
dtype: string
- name: caption
dtype: string
- name: Impact
dtype: float64
- name: image_description
dtype: string
- name: image_impression
dtype: string
- name: image_aesthetic_eval
dtype: string
- name: image_url
dtype: string
- name: source
dtype: string
splits:
- name: train
num_bytes: 2366953929.024
num_examples: 1352
download_size: 2214475090
dataset_size: 2366953929.024
license: cc-by-sa-4.0
task_categories:
- image-to-text
- visual-question-answering
language:
- en
tags:
- art
pretty_name: Impressions
size_categories:
- 1K<n<10K
Dataset Card for "Impressions"
Overview
The Impressions dataset is a multimodal benchmark that consists of 4,100 unique annotations and over 1,375 image-caption pairs from the photography domain. Each annotation explores (1) the aesthetic impactfulness of a photograph, (2) image descriptions in which pragmatic inferences are welcome, (3) emotions/thoughts/beliefs that the photograph may inspire, and (4) the aesthetic elements that elicited the expressed impression.
EMNLP 2023 | Paper
Additional Data
The Impressions dataset comes with more information that just image annotations on questions pertaining to Pragmatic Description, Perception, and Aesthetic Evaluation. For annotator personality and demographic metadata, as well as all Aesthetic Impact annotations, please see our git repository!