---
license: mit
task_categories:
- table-to-text
language:
- en
tags:
- table-recognition
- slanet-1m
pretty_name: PubSynthNet
size_categories:
- 1M<n<10M
---

You can download the dataset used to train [SLANet-1M](https://huggingface.co/dimtri009/SLANet-1M) at this [link](https://minio1.isc.heia-fr.ch:9015/slanet-1m/datasets/SLANet_1M_dataset.zip) (please leave a like to the repo 😊). 

Please refer to the [paper](https://aclanthology.org/2025.swisstext-1.9/) for more details.

Please cite us: 

```
@inproceedings{romaric-etal-2025-slanet,
    title = "{SLAN}et-1{M}: A Lightweight and Efficient Model for Table Recognition with Minimal Computational Cost",
    author = "Romaric, Nguinwa Mbakop Dimitri  and
      Petrucci, Andrea  and
      Marinai, Simone  and
      Hennebert, Jean",
    editor = {Gerber, Jonathan  and
      Cieliebak, Mark  and
      Tuggener, Don  and
      H{\"u}rlimann, Manuela},
    booktitle = "Proceedings of the 10th edition of the Swiss Text Analytics Conference",
    month = may,
    year = "2025",
    address = "Winterthur, Switzerland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.swisstext-1.9/",
    pages = "89--102"
}
```