Release CLEAR artifacts (CAM models, SFT datasets) on Hugging Face

Hello,

Niels here from 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 models, datasets or demo for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add Github and project page URLs.

It'd be great to make the checkpoints and datasets available on the 🤗 hub to improve their discoverability and visibility. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.

## Uploading models

I see you have released the code for training the Context Augmentation Model (CAM). Would you like to host the pre-trained CAM checkpoints on https://huggingface.co/models? Hosting on Hugging Face will give you more visibility and enable better discoverability.

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

In this case, since you use LLaMA-Factory and Transformers, you can use the built-in `push_to_hub` methods. Alternatively, one can leverage 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.

## Uploading dataset

I see you're currently hosting the SFT training data and task trajectories in the GitHub repository. Would be awesome to make these CLEAR datasets available on 🤗 , so that people can do:

```python
from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/clear-appworld-sft")
```
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 or need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗

Start by locating the CAM training code, pre-trained checkpoints, SFT training data, and task trajectories mentioned in the issue, then read the linked Hugging Face model-uploading and datasets-loading guides. Done means the CAM models and CLEAR datasets are published on Hugging Face with enough metadata for users to discover and load them.

Written by the indexing model from the issue text.