The ShareLM Collection and Plugin: Contributing Human-Model Chats for
  the Benefit of the Community
Authors: name: Shachar Don-Yehiya, name: Leshem Choshen, name: Omri Abend

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. We release the plugin conversations as part of the
ShareLM collection, and call for more community effort in the field of open
human-model data.
  The code, plugin, and data are available.