From f632d83afb7bcab60f0d5ee7d166c67ea062fd11 Mon Sep 17 00:00:00 2001 From: Susana Guzman Date: Wed, 18 Jan 2023 10:55:48 +0100 Subject: [PATCH] docs: fix typo to broken link --- docs/notebooks/mesh_to_mesh.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/notebooks/mesh_to_mesh.md b/docs/notebooks/mesh_to_mesh.md index 0593b5310..e2e08aa67 100644 --- a/docs/notebooks/mesh_to_mesh.md +++ b/docs/notebooks/mesh_to_mesh.md @@ -41,7 +41,7 @@ Specifically, we want to build a search system, which can receive a 3D mesh and ## Data -ModelNet40 consists of 9843 meshes provided for training and 2468 meshes for testing. Usually, you would have to download the [dataset](https://modelnet.cs.princeton.edu/) unzip it, [prepare it, and upload it to the Jina AI Cloud](https://https://finetuner.jina.ai/walkthrough/create-training-data/). After that, you can provide the name of the dataset used for the upload to Finetuner. +ModelNet40 consists of 9843 meshes provided for training and 2468 meshes for testing. Usually, you would have to download the [dataset](https://modelnet.cs.princeton.edu/) unzip it, [prepare it, and upload it to the Jina AI Cloud](https://finetuner.jina.ai/walkthrough/create-training-data/). After that, you can provide the name of the dataset used for the upload to Finetuner. For this tutorial, we already prepared the data and uploaded it. Specifically, the training data is uploaded as `modelnet40-train`. For evaluating the model, we split the test set of the original dataset into 300 meshes, which serve as queries (`modelnet40-queries`), and 2168 meshes which serve as the mesh collection, which is searched in (`modelnet40-index`).