emphasize species classification task

README.md

@@ -31,7 +31,7 @@ task_categories:
 
 # Dataset Card for IDLE-OO Camera Traps
 
-IDLE-OO Camera Traps is a 5-dataset benchmark of camera trap images from the [Labeled Information Library of Alexandria: Biology and Conservation (LILA BC)](https://lila.science) with a total of 2,586 images. Each of the 5 benchmarks is **balanced** to have the same number of images for each species within it (between 310 and 1120 images), representing between 16 and 39 species.
+IDLE-OO Camera Traps is a 5-dataset benchmark of camera trap images from the [Labeled Information Library of Alexandria: Biology and Conservation (LILA BC)](https://lila.science) with a total of 2,586 images for species classification. Each of the 5 benchmarks is **balanced** to have the same number of images for each species within it (between 310 and 1120 images), representing between 16 and 39 species.
 
 ### Dataset Description
 
@@ -152,7 +152,7 @@ These datasets were curated to create a small collection of camera trap image te
 ## Dataset Creation
 
 ### Curation Rationale
-As stated above, the goal of these datasets is to provide a collection of test sets for camera trap images. Species identification within camera trap images is a real-world downstream use-case, on which a biological foundation model should be tested. These datasets were selected from those available on [LILA BC](https://lila.science/datasets) since they are labeled at the image-level, and would thus not include frames labeled as containing an animal when it is simply the animal's habitat. The [Island Conservation Camera Traps](https://lila.science/datasets/island-conservation-camera-traps/) were of particular interest for their stated purpose of assisting in the prevention of endangered island species' extinction and the varied ecosystems represented.
+As stated above, the goal of these datasets is to provide a collection of species classification test sets for camera trap images. Species classification within camera trap images is a real-world downstream use-case, on which a biological foundation model should be tested. These datasets were selected from those available on [LILA BC](https://lila.science/datasets) since they are labeled at the image-level, and would thus not include frames labeled as containing an animal when it is simply the animal's habitat. The [Island Conservation Camera Traps](https://lila.science/datasets/island-conservation-camera-traps/) were of particular interest for their stated purpose of assisting in the prevention of endangered island species' extinction and the varied ecosystems represented.
 
 ### Source Data
 
@@ -173,7 +173,7 @@ These images come from an existing, public biodiversity data repository, which p
 
 ## Considerations for Using the Data
 
-This collection of small balanaced datasets was designed for testing the classification ability of [BioCLIP 2](https://github.com/Imageomics/bioclip-2) to classify species in camera trap images, a practical use-case and one on which it was not extensively trained.
+This collection of small balanced datasets was designed for testing the classification ability of [BioCLIP 2](https://github.com/Imageomics/bioclip-2) to classify species in camera trap images, a practical use-case and one on which it was not extensively trained.
 
 ### Bias, Risks, and Limitations
 The available species in these datasets is not a representative sample of species around the world, though they do cover a portion of species of interest to those collecting images using camera traps.