Update README.md

README.md

@@ -61,8 +61,8 @@ VLM4Bio is a benchmark dataset of scientific question-answer pairs used to evalu
 VLM4Bio is a large, annotated dataset, consisting of 469K question-answer pairs involving around 30K images from three groups of organisms: fish, birds, and butterflies, covering five biologically relevant tasks.
 The scientifically relevant tasks in organismal biology includes species classification, trait identification, trait grounding, trait referring, and trait counting.
 These tasks are designed to test different facets of VLM performance in organismal biology, ranging from measuring predictive accuracy to assessing their ability to reason about their predictions using visual cues of known biological traits.
-For example, the tasks of species classification tests the ability of VLMs to discriminate between species, while in trait grounding and referring, we specifically test if VLMs are able to localize morphological traits (e.g., the presence of fins of fish or patterns and colors of birds) within the image.
-There are two types of questions that we consider in this dataset. First, we consider open-ended questions, where we do no provide any answer choices (or options) to the VLM in the input prompt.
+For example, the tasks of species classification test the ability of VLMs to discriminate between species, while in trait grounding and referring, we specifically test if VLMs are able to localize morphological traits (e.g., the presence of fins of fish or patterns and colors of birds) within the image.
+We consider two types of questions in this dataset. First, we consider open-ended questions, where we do not provide any answer choices (or options) to the VLM in the input prompt.
 The second type is multiple-choice (MC) questions, where we provide four choices of candidate answers for the VLM to choose from (out of which only one is correct while the remaining three are randomly selected from the set of all possible answers).
 
 ### Supported Tasks and Leaderboards
@@ -73,7 +73,7 @@ The following table demonstrates the leaderboard of the VLM baselines in terms o
 ![Alt text](assests/leaderboard.png)
 
 ### Languages
-English
+English, Latin
 
 ## Dataset Structure