From c7d222c585c434a11ada270cfe6350f2cf9d54d2 Mon Sep 17 00:00:00 2001
From: Elena Stacy <34088593+estacy@users.noreply.github.com>
Date: Fri, 22 Aug 2025 12:57:54 -0700
Subject: [PATCH] Fix folder name in DataHub instructions

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index aaac860..5d5d10a 100644
--- a/README.md
+++ b/README.md
@@ -64,7 +64,7 @@ If you do not have Anaconda installed and the materials loaded on your workshop
 
 [![Datahub](https://img.shields.io/badge/launch-datahub-blue)](http://dlab.datahub.berkeley.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fdlab-berkeley%2FPython-APIs-for-Large-Language-Models&urlpath=lab%2Ftree%2FPython-APIs-for-Large-Language-Models%2F)
 
-The DataHub downloads this repository, along with any necessary packages, and allows you to run the materials in a Jupyter notebook that is stored on UC Berkeley's servers. No installation is necessary from your end - you only need an internet browser and a CalNet ID to log in. By using the DataHub, you can save your work and come back to it at any time. When you want to return to your saved work, just go straight to [DataHub](https://datahub.berkeley.edu), sign in, and you click on the `Python-Fundamentals` folder.
+The DataHub downloads this repository, along with any necessary packages, and allows you to run the materials in a Jupyter notebook that is stored on UC Berkeley's servers. No installation is necessary from your end - you only need an internet browser and a CalNet ID to log in. By using the DataHub, you can save your work and come back to it at any time. When you want to return to your saved work, just go straight to [DataHub](https://datahub.berkeley.edu), sign in, and you click on the `Python-APIs-for-Large-Language-Models` folder.
 
 If you don't have a Berkeley CalNet ID, you can still run these lessons in Binder, which is another cloud-based option. Click this button: