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---
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](https://arxiv.org/abs/2310.17887)
## 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](https://github.com/SALT-NLP/Impressions)!
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |