Release LogicsParsingBench dataset on Hugging Face

Hi @taesiri 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2509.19760.
The paper page lets people discuss about your paper and lets them find artifacts about it (your dataset for instance),
you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.

It's great to see the Logics-Parsing model already available on the Hugging Face Hub! I also noticed in the abstract and comments that you plan to release the LogicsParsingBench dataset later.
Would you like to host the LogicsParsingBench dataset on https://huggingface.co/datasets when it's ready?
Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:

```python
from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/logics-parsing-bench")
```

If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, useful for image/video datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.

Besides that, there's the [dataset viewer](https://huggingface.co/docs/hub/en/datasets-viewer) which allows people to quickly explore the first few rows of the data in the browser.

After uploaded, we can also link the datasets to the paper page (read [here](https://huggingface.co/docs/hub/en/model-cards#linking-a-paper)) so people can discover your work.

Let me know if you're interested/need any guidance.

Kind regards,

Niels

Start with the Hugging Face Datasets loading guide linked in the issue and determine whether the LogicsParsingBench dataset is ready and where its artifacts are located. Done means the dataset is published on the Hugging Face Hub, can be loaded with the documented Python example, and is linked to the paper page.

Written by the indexing model from the issue text.