Code and dataset release for SQLSYNTH on Hugging Face

Hi @ronin-2021 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to [hf.co/papers](https://hf.co/papers) to improve its discoverability.If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.

The paper page lets people discuss about your paper and lets them find artifacts about it (your model and data for instance),
you can also claim the paper as yours which will show up on your public profile at HF.

The paper mentions that the code is available at https://github.com/adobe/nl_sql_analyzer, however the Github repository does not contain
a README file yet. It'd be awesome if you could release the code and corresponding dataset on Hugging Face!

For the model:

See here for a guide: https://huggingface.co/docs/hub/models-uploading.

In this case, we could leverage the [PyTorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) class which adds `from_pretrained` and `push_to_hub` to any custom `nn.Module`. Alternatively, one can leverages the [hf_hub_download](https://huggingface.co/docs/huggingface_hub/en/guides/download#download-a-single-file) one-liner to download a checkpoint from the hub.

We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.

For the dataset:

Would be awesome to make the dataset available on 🤗 , so that people can do:

```python
from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/your-dataset")
```
See here for a guide: https://huggingface.co/docs/datasets/loading.

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.

Let me know if you're interested/need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗