Datasets:
File size: 3,069 Bytes
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configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: UUID
dtype: string
- name: Image ID
dtype: string
- name: Paper DOI
dtype: string
- name: Paper Title
dtype: string
- name: Image Caption
dtype: string
- name: Image Authors
dtype: string
- name: References DOIs
list: string
- name: Citing DOIs
list: string
splits:
- name: train
num_bytes: 56943467858
num_examples: 94233
download_size: 72360746667
dataset_size: 56943467858
license: mit
task_categories:
- image-text-to-text
language:
- en
tags:
- astronomy
- multimodal
size_categories:
- 100K<n<1M
---
# AstroCLIMB:
## Astronomy Citation Linking from Illustrations: a Multimodal Benchmark
AstroCLIMB is the shared task for [4th WASP: Workshop on Artificial Intelligence for Scientific Publications](https://ui.adsabs.harvard.edu/WIESP/2026/shared_task).
### Motivation
Scientists rely on figures to share their discoveries, but this makes the information contained in the figures hard to parse, archive, and search. Recent multimodal neural-network models promise to extract this information, but have not yet been widely tested and adopted by the astronomy community.
In partnership with [astroexplorer.org](https://www.astroexplorer.org/), we offer a novel dataset and an associated task as a benchmark to evaluate a model’s multimodal capabilities. The task is to partially reconstruct the citation graph of astronomy papers from their figures and captions.
### Dataset Description
The dataset consists of over 100K figure+caption pairs from the [astroexplorer.org](https://www.astroexplorer.org/) from recent open access astronomy papers. More details to come.
```
Dataset({
features: ['image', 'UUID', 'Image ID', 'Paper DOI', 'Paper Title', 'Image Caption', 'Image Authors', 'References DOIs', 'Citing DOIs'],
num_rows: 94233
})
```
(test set to be released in November 2026)
- `images` are stored as PIL PNG objects.
- `Image Caption` are English language text.
- `UUID`, `Image ID`, `Paper DOI`, `Paper Title` are metadata.
A more complete descriptions of the dataset can be found on the WASP2026 website [here](https://ui.adsabs.harvard.edu/WIESP/2026/shared_task_labels).
### Task Description
The goal of the task is single-class classification.
The inputs are pairs of figures, a figure and a caption, or a pair of captions.
The possible output classes are:
- `same paper`
- `related papers` (references or citing)
- `unrelated papers` (neither references nor citing)
- `same figure` (only for figure+caption pairs)
The challenge is being evaluated on Kaggle [here](https://www.kaggle.com/competitions/astroclimb/overview).
### Contact
For inquiries, contact Felix Grezes at [felix.grezes@cfa.harvard.edu](mailto:felix.grezes@cfa.harvard.edu).
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