Update README.md

README.md

@@ -8,22 +8,22 @@ tags:
 - food
 - recipe
 configs:
-- config_name: Food101
+- config_name: Recipe1M
   data_files:
   - split: test
-    path: food101/data-*.arrow
-- config_name: FoodSeg103
+    path: food_eval_multitask_v2/data-*.arrow
+- config_name: Nutrition5K
   data_files:
   - split: test
-    path: foodseg103/data-*.arrow
-- config_name: Nutrition5K
+    path: nutrition50k/data-*.arrow
+- config_name: Food101
   data_files:
   - split: test
-    path: nutriton50k/data-*.arrow
-- config_name: Recipe1M
+    path: food101/data-*.arrow
+- config_name: FoodSeg103
   data_files:
   - split: test
-    path: food_eval_multitask_v2/data-*.arrow
+    path: foodseg103/data-*.arrow
 ---
 
 # Adapting Multimodal Large Language Models to Domains via Post-Training
@@ -47,7 +47,7 @@ We investigate domain adaptation of MLLMs through post-training, focusing on dat
 from datasets import load_dataset
 
 # Choose the task name from the list of available tasks
-task_name = 'Food101'  # Options: 'Food101', 'FoodSeg103', 'Nutrition5K', 'Recipe1M'
+task_name = 'FoodSeg103' # Options: 'Food101', 'FoodSeg103', 'Nutrition5K', 'Recipe1M'
 
 # Load the dataset for the chosen task
 data = load_dataset('AdaptLLM/food-vision-language-tasks', task_name, split='test')