Update README.md

README.md

@@ -25,7 +25,7 @@ We also build baselines with three evaluation methods (i.e., zero-shot inference
 
 ### Statistics 
 
-Dataset statistics for each dimension in the MMLA benchmark. #C, #U, #Train, #Val, and #Test represent the number of label classes, utterances, training, validation, and testing samples, respectively. avg. and max. refer to the average and maximum lengths.| **Dimensions**            | **Datasets**          | **#C** | **#U**  | **#Train** | **#Val** | **#Test** | **Video Hours** | **Source**        | **#Video Length (avg. / max.)** | **#Text Length (avg. / max.)** | **Language** |
+Dataset statistics for each dimension in the MMLA benchmark. #C, #U, #Train, #Val, and #Test represent the number of label classes, utterances, training, validation, and testing samples, respectively. avg. and max. refer to the average and maximum lengths.  | **Dimensions**            | **Datasets**          | **#C** | **#U**  | **#Train** | **#Val** | **#Test** | **Video Hours** | **Source**        | **#Video Length (avg. / max.)** | **#Text Length (avg. / max.)** | **Language** |
 |---------------------------|-----------------------|--------|---------|------------|----------|-----------|-----------------|-------------------|---------------------------------|---------------------------------|--------------|
 | **Intent**                | MIntRec               | 20     | 2,224   | 1,334      | 445      | 445       | 1.5             | TV series         | 2.4 / 9.6                     | 7.6 / 27.0                     | **English** |
 |                           | MIntRec2.0            | 30     | 9,304   | 6,165      | 1,106    | 2,033     | 7.5             | TV series         | 2.9 / 19.9                    | 8.5 / 46.0                     |              |