ShareLM 💬
Crowd-sourcing human feedback for open-source LLMs together
What is ShareLM?
ShareLM is a chrome plugin that makes it easy for you to contribute your own human-model interactions.
The Goal -> Collecting an ever-growing dataset of conversations, for the benefit of the open-source community 💬🥳
The conversations will be released with the most permissive restriction allowed by the specific model.
And this is so easy, so no excuses!
Try it here
(Just remember to install the plugin first, yes?)
This is only an example. The plugin supports ChatGPT, Claude and all Gradio/ChatUI LLM demos -- so go try your favorite one! 🤗
You will see the green banner (and green icon) as long as you are in a supported demo. The conversations will be automatically collected and published for you.
What is unique about ShareLM?
Supports models from different demos and platforms.
Delayed upload to the DB so the user can see and delete their conversation if they don't want it to be published.
The only ever-growing chat-bot conversations dataset for open-source models.
Are you a PROUD DONOR?
Show your support by adding the ShareLM badge to your website, GitHub profile, or blog ✨
Copy this HTML to embed the badge:
<a href="https://sharelm.github.io/" target="_blank">
<img src="https://sharelm.github.io/static/images/Picture1.png"
alt="I Support ShareLM" style="max-width: 150px;" />
</a>Thank you for contributing to the future of open-source AI! 💬🤖
BibTeX
@inproceedings{don-yehiya-etal-2025-sharelm,
title = "The {S}hare{LM} Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community",
author = "Don-Yehiya, Shachar and
Choshen, Leshem and
Abend, Omri",
editor = "Mishra, Pushkar and
Muresan, Smaranda and
Yu, Tao",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-demo.17/",
pages = "167--177",
ISBN = "979-8-89176-253-4",
abstract = "Human-model conversations provide a window into users' real-world scenarios, behavior, and needs, and thus are a valuable resource for model development and research. While for-profit companies collect user data through the APIs of their models, using it internally to improve their own models, the open source and research community lags behind.We introduce the ShareLM collection, a unified set of human conversations with large language models, and its accompanying plugin, a Web extension for voluntarily contributing user-model conversations. Where few platforms share their chats, the ShareLM plugin adds this functionality, thus, allowing users to share conversations from most platforms. The plugin allows the user to rate their conversations, both at the conversation and the response levels, and delete conversations they prefer to keep private before they ever leave the user{'}s local storage."
}