---
dataset_info:
  features:
  - name: conference
    dtype: string
  - name: year
    dtype: int32
  - name: paper_id
    dtype: int32
  - name: title
    dtype: string
  - name: abstract
    dtype: string
  - name: topics
    sequence: string
  - name: image_url
    dtype: string
  splits:
  - name: train
    num_bytes: 15394703
    num_examples: 10305
  - name: validation
    num_bytes: 4461536
    num_examples: 3000
  - name: test
    num_bytes: 4464840
    num_examples: 3000
  download_size: 12550503
  dataset_size: 24321079
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---

# POSTERSUM Dataset

## Dataset Summary

The **POSTERSUM** dataset is a multimodal benchmark designed for the summarization of scientific posters into research paper abstracts. The dataset consists of **16,305** research posters collected from major machine learning conferences, including ICLR, ICML, and NeurIPS, spanning the years **2022-2024**. Each poster is provided in image format along with its corresponding abstract as a summary. This dataset is intended for research in multimodal understanding and summarization tasks, particularly in vision-language models (VLMs) and Multimodal Large Language Models (MLLMs).

## Dataset Details

### Data Fields
Each record in the dataset contains the following fields:
- `conference` (*string*): Name of the conference where the research poster was presented (e.g., ICLR, ICML, NeurIPS).
- `year` (*int*): The year of the conference.
- `paper_id` (*int*): Conference identifier for the research paper associated with the poster.
- `title` (*string*): The title of the research paper.
- `abstract` (*string*): The human-written abstract of the paper, serving as the ground-truth summary for the poster.
- `topics` (*list of strings*): Machine learning topics related to the research (e.g., Reinforcement Learning, Natural Language Processing, Graph Neural Networks).
- `image_url` (*string*): URL to the image file of the scientific poster.

### Dataset Statistics
- **Total number of poster-summary pairs:** 16,305
- **Total number of unique topics:** 137
- **Average summary length:** 224 tokens
- **Train/Validation/Test split:** 10,305 / 3,000 / 3,000


## Citation
```
@misc{saxena2025postersummultimodalbenchmarkscientific,
      title={PosterSum: A Multimodal Benchmark for Scientific Poster Summarization}, 
      author={Rohit Saxena and Pasquale Minervini and Frank Keller},
      year={2025},
      eprint={2502.17540},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2502.17540}, 
}
```