Update README.md

README.md

@@ -72,16 +72,16 @@ cite as:
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-## Large-Scale Foundation Model Training
+## Large-Scale Foundation Model Training for biodiversity research
 
 #### Dataset Partitions
 
-| Partition        | Description                                                                 |
-|------------------|-----------------------------------------------------------------------------|
-| **Closed-world**<br>(train, val, test) | Samples with known species names for supervised classification.           |
-| **Open-world**<br>(key_unseen, val_unseen, test_unseen) | Placeholder species names but known genera, enabling generalization to unseen species. |
-| **Novelty Detection**<br>(other_heldout) | Unknown species and genus, suitable for open-set detection.              |
-| **Pretraining**<br>(pretrain)         | Unlabeled data for self-/semi-supervised learning at scale.             |
+| Partition           | Example Splits                        | Description                                                               |
+|---------------------|---------------------------------------|---------------------------------------------------------------------------|
+| **Closed-world**     | train, val, test                     | Samples with known species names for supervised classification.           |
+| **Open-world**       | key_unseen, val_unseen, test_unseen  | Placeholder species names but known genera, enabling generalization to unseen species. |
+| **Novelty Detection**| other_heldout                        | Unknown species and genus, suitable for open-set detection.                |
+| **Pretraining**      | pretrain                             | Unlabeled data for self-/semi-supervised learning at scale.                |
 
 
 #### Supported Tasks