Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 pretty_name: TomaMMU
-license: other
+license: cc-by-nc-4.0
 task_categories:
 - image-text-to-text
 - visual-question-answering
@@ -43,6 +43,13 @@ dataset_info:
     num_examples: 213119
   download_size: 334409642
   dataset_size: 334409642
+tags:
+- agriculture
+- vision-language
+- vqa
+- agvqa
+- tomammu
+- tomato
 ---
 
 # TomaMMU
@@ -56,9 +63,8 @@ The questions cover 7 tasks at 3 levels. The authors tested 14 vision-language m
 A second paper from the same group trains SOLAR, a model for tomato leaf question answering, using this data.
 
 - Paper: [TomaMMU: A Comprehensive Multimodal Understanding Benchmark for Tomato Leaf Diseases](https://arxiv.org/abs/2608.08727)
-- Related paper: [A Multi-Modal Generative Model for Tomato Disease Leaves Understanding](https://arxiv.org/abs/2609.19555)
+- Additional paper: [A Multi-Modal Generative Model for Tomato Disease Leaves Understanding](https://arxiv.org/abs/2609.19555)
 - Original dataset: [enalis/TomaMMU](https://huggingface.co/datasets/enalis/TomaMMU)
-- License: the authors do not state a license.
 
 ## Tasks
 
@@ -145,4 +151,4 @@ sample["messages"]
 }
 ```
 
-This dataset is indexed and structured on https://project-agml.github.io/ as part of Project AgML @ UC Davis. This dataset was reformatted from its original format to match HuggingFace's Imagefolder standards but requires an external module (agml) that processes and returns a HF Dataset object faster than HF module functions.
+This dataset is indexed and structured on https://project-agml.github.io/ as part of Project AgML @ UC Davis. This dataset was reformatted from its original format to match HuggingFace's Imagefolder standards but requires an external module (agml) that processes and returns a HF Dataset object faster than HF module functions.