From 843c1587f9e17da030657c60b462871da55b774b Mon Sep 17 00:00:00 2001 From: Xing Han Lu <21180505+xhluca@users.noreply.github.com> Date: Tue, 3 Dec 2024 16:21:02 -0500 Subject: [PATCH 1/2] Update README.md --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index 923d4ba..c520837 100644 --- a/README.md +++ b/README.md @@ -17,6 +17,9 @@ _\*Equal contribution_\ </div> +> [!IMPORTANT] +> **WebLINX is now available as a benchmark through [BrowserGym](https://github.com/ServiceNow/BrowserGym), allowing you to access demonstration steps in the same way you would access a web agent environment like [WebArena](https://webarena.dev/) or [MiniWoB](https://miniwob.farama.org/index.html). For the occasion, we are releasing the `weblinx-browsergym` extension for BrowserGym on PyPi, as well as a [new dataset derived from WebLINX on Huggingface](https://huggingface.co/datasets/McGill-NLP/weblinx-browsergym).** + ## Intro Welcome to `WebLINX`'s official repository! In addition to providing code used to train [the models](https://huggingface.co/collections/McGill-NLP/weblinx-models-65c57d4afeeb282d1dcf8434) reported in our [WebLINX paper](https://arxiv.org/abs/2402.05930), we also provide a comprehensive Python library (aka API) to help you work with the [WebLINX dataset](https://huggingface.co/datasets/McGill-NLP/WebLINX). From dd6f80087f82dc11065495063517b32faa5ffcdd Mon Sep 17 00:00:00 2001 From: Xing Han Lu <21180505+xhluca@users.noreply.github.com> Date: Tue, 3 Dec 2024 16:26:32 -0500 Subject: [PATCH 2/2] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c520837..b90963a 100644 --- a/README.md +++ b/README.md @@ -18,7 +18,7 @@ _\*Equal contribution_\ </div> > [!IMPORTANT] -> **WebLINX is now available as a benchmark through [BrowserGym](https://github.com/ServiceNow/BrowserGym), allowing you to access demonstration steps in the same way you would access a web agent environment like [WebArena](https://webarena.dev/) or [MiniWoB](https://miniwob.farama.org/index.html). For the occasion, we are releasing the `weblinx-browsergym` extension for BrowserGym on PyPi, as well as a [new dataset derived from WebLINX on Huggingface](https://huggingface.co/datasets/McGill-NLP/weblinx-browsergym).** +> **WebLINX is now available as a benchmark through [BrowserGym](https://github.com/ServiceNow/BrowserGym), allowing you to access demonstration steps in the same way you would access a web agent environment like [WebArena](https://webarena.dev/) or [MiniWoB](https://miniwob.farama.org/index.html). This also allows you to run agents from the [Agentlab](https://github.com/ServiceNow/AgentLab) library, including agents that achieve SOTA performance through Claude-3.5-Sonnet. To enable this integration, we are releasing the `weblinx-browsergym` extension for BrowserGym on PyPi, as well as a [new dataset derived from WebLINX on Huggingface](https://huggingface.co/datasets/McGill-NLP/weblinx-browsergym).** ## Intro