added table image for captions

introduction.md

@@ -99,6 +99,7 @@ weighting - of 0.858 (great agreement!).
 | person walking down the aisle                                                     | persona che cammina lungo la navata                                                                     | 
 | popular rides at night at the county fair                                         | giostre popolari di notte alla fiera della contea                                                       | 
 
+_If the table above doesn't show, you can have a look at it [here](https://huggingface.co/spaces/clip-italian/clip-italian-demo/raw/main/static/img/table_captions.png)._
 
 We know that we annotated our own data; in the spirit of fairness we also share the annotations and the captions so
 that those interested can check the quality. The Google Sheet is [here](https://docs.google.com/spreadsheets/d/1m6TkcpJbmJlEygL7SXURIq2w8ZHuVvsmdEuCIH0VENk/edit?usp=sharing).
@@ -195,7 +196,7 @@ described by the original caption. As evaluation metrics we use the MRR@K.
 | MRR@5           | **0.5039**   | 0.3957|
 | MRR@10          | **0.5204**   | 0.4129|
 
-_If the table above doesn not show, you can have a look at it [here](https://huggingface.co/spaces/clip-italian/clip-italian-demo/raw/main/static/img/table_imagenet.png)._
+_If the table above doesn't show, you can have a look at it [here](https://huggingface.co/spaces/clip-italian/clip-italian-demo/raw/main/static/img/table_imagenet.png)._
 
 It is true that we used the training set of MSCOCO-IT in training, and this might give us an advantage. However, the original CLIP model was trained
 on 400million images (and some of them might have been from MSCOCO).
@@ -213,7 +214,7 @@ We evaluate the models computing the accuracy at different levels.
 | Accuracy@10     |  **52.55**   | 42.91 |
 | Accuracy@100    |  **81.08**   | 67.11 |
 
-_If the table above doesn not show, you can have a look at it [here](https://huggingface.co/spaces/clip-italian/clip-italian-demo/raw/main/static/img/table_IR.png)._
+_If the table above doesn't show, you can have a look at it [here](https://huggingface.co/spaces/clip-italian/clip-italian-demo/raw/main/static/img/table_IR.png)._
 
 ### Discussion