update readme

README.md

@@ -102,4 +102,24 @@ for i_plot in range(len(i_trial['images'])):
   plt.axis('off')
 plt.show()
 ```
-<img src="example_trial.png" alt="example trial"/>
+<img src="example_trial.png" alt="example trial"/>
+
+The complete results on this benchmark, including all of the human and model (e.g., DINOv2, CLIP, and MAE at multiple sizes), can be downloaded from the github repo: 
+
+```
+git clone https://github.com/tzler/MOCHI.git
+```
+
+And then imported with a few lines of code:
+
+```python
+
+import pandas 
+
+# load data the github repo we just cloned  
+df = pandas.read_csv('MOCHI/assets/benchmark.csv')
+# extract trial info with the index from huggingface repo above
+df.loc[i_trial_index]['trial']
+```
+
+This returns the trial, `shapegen2527`, which is the same as the huggingface dataset for this index.