Update README.md

README.md

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 # Dataset Card for PureForest
 
 ## _PureForest_ in a nutshell
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 - Data from 449 distinct closed forests in 40, mostly southern, French departments
 - 135,569 patches (50m*50m), totalling 339km² of exploitable data.
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 - A reference train/val/test split with class stratification
 - Data for each forest exclusively belongs to either the train, val, or test set.
 
+| Class | Train (%) | Val (%) | Test (%) |
+|-------|------------:|----------:|-----------:|
+**(0) Deciduous oak**|22.92%|32.35%|52.59%
+**(1) Evergreen oak**|16.80%|2.75%|19.61%
+**(2) Beech**|10.14%|12.03%|7.62%
+**(3) Chestnut**|4.83%|1.09%|0.38%
+**(4) Black locust**|2.41%|2.40%|0.60%
+**(5) Maritime pine**|6.61%|7.10%|3.85%
+**(6) Scotch pine**|16.39%|17.95%|8.51%
+**(7) Black pine**|6.30%|6.98%|3.64%
+**(8) Aleppo pine**|5.83%|1.72%|0.83%
+**(9) Fir**|0.14%|5.32%|0.05%
+**(10) Spruce**|3.73%|4.64%|1.64%
+**(11) Larch**|3.67%|3.73%|0.48%
+**(12) Douglas**|0.23%|1.95%|0.20%
+
 ## Dataset structure
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 ## Citation
-<br>
 Please include a citation to the following article if you use the PureForest dataset:
-
 ```
 @article{gaydon2024pureforest,
       title={PureForest: A Single-label Lidar Benchmark Dataset for Tree Species Classification},