From bdb0c8498edf0992ba6f2da03727f67b5d08fcb0 Mon Sep 17 00:00:00 2001
From: gervif <85367180+gervif@users.noreply.github.com>
Date: Mon, 28 Jun 2021 12:37:44 -0400
Subject: [PATCH] Update README.md

updated link to transcripts.
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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index c8a6e89..ca4d747 100644
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+++ b/README.md
@@ -2,7 +2,7 @@
 
 ARL HuRDL (Human Robot Dialogue Learning) is a labeled corpus of 22 human-human dialogues in a situated reference resolution task. In the task, participants played the role of a robot and communicated with a live, remote experimenter (called the Commander) through text-based messaging. The experiment was conducted live on Amazon Mechanical Turk. 
 
-The latest version of the dataset can be found [here](https://github.com/USArmyResearchLab/ARL-HuRDL/).     
+The latest version of the dataset can be found [here](https://github.com/USArmyResearchLab/ARL-HuRDL/tree/main/Data).     
 The corresponding video files can be found [here](http://doi.org/10.5061/dryad.7d7wm37v9).    
 The corresponding publication with detailed corpus statistics can be found [here](https://arxiv.org/abs/2106.06504).