Release toxicchat_with_GPT5Response dataset on Hugging Face

Hi @microsoft 🤗

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 to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/2607.26200

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.

I see you've released the toxicchat_with_GPT5Response.jsonl evaluation dataset (ToxicChat prompts with GPT-5 responses, LLM-judge toxicity/relevance labels, T5 moderation predictions, and rewrites) as a file in the Github repository. Would you like to host it on https://huggingface.co/datasets?

Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:

from datasets import load_dataset

dataset = load_dataset("microsoft/toxicchat_with_GPT5Response")

If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.

Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.

After uploaded, we can also link the dataset to the paper page (read here) so people can discover your work.

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

Kind regards,

Niels

Start with toxicchat_with_GPT5Response.jsonl in the repository and the Hugging Face datasets loading guide linked in the issue. Upload the dataset to the requested Hugging Face dataset location, then verify that it loads with load_dataset("microsoft/toxicchat_with_GPT5Response").