Upload README.md with huggingface_hub

README.md

@@ -42,16 +42,16 @@ Lemonade
 
 `lemonade_benchmark.csv` : Table with the following fields:
 
-**Question**  : Question to be answered </br>
-**QID** : Question identifier, an integer from 0 to 30 </br>
+**Question**  : Question to be answered. </br>
+**QID** : Question identifier, an integer from 0 to 30. </br>
 **Answers** : A list of possible answers to the question. This can be a multiple-choice set or open-ended responses. </br>
 **Correct Answer** : The answer that is deemed correct from the list of provided answers. </br>
 **Clip** : A reference to the video clip related to the question. </br>
 **Start** : The timestamp (in frames) in the clip where the question context begins. </br>
 **End** : The timestamp (in frames) in the clip where the question context ends. </br>
-**Category** : The broad topic under which the question falls (Behavior understanding, Long-term understanding or Motion and Biomechanics) </br>
-**Subcategory** : A more refined classification within the category (Perception, Reasoning, Summarization, Session properties, Physical attributes, Kinematics) </br>
-**Difficulty** : The complexity level of the question (e.g., Easy, Medium, Hard)
+**Category** : The broad topic under which the question falls (Behavior understanding, Long-term understanding or Motion and Biomechanics). </br>
+**Subcategory** : A more refined classification within the category (Perception, Reasoning, Summarization, Session properties, Physical attributes, Kinematics). </br>
+**Difficulty** : The complexity level of the question (e.g., Easy, Medium, Hard).
 
 `videos` : Folder with all egocentric videos from the EPFL-Smart-Kitchen-30 benchmark. Video names are structured as `[Participant_ID]_[Session_name]_hololens.mp4`.
 
@@ -66,9 +66,9 @@ The evaluation of the benchmark can be done through the following github reposit
 
 
 ## 🌟 Citations
-Please cite our work !
+Please cite our work!
 ```
-@misc{bonnetto2025epflsmartkitchen30denselyannotatedcooking,
+@misc{bonnetto2025epflsmartkitchen,
       title={EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models}, 
       author={Andy Bonnetto and Haozhe Qi and Franklin Leong and Matea Tashkovska and Mahdi Rad and Solaiman Shokur and Friedhelm Hummel and Silvestro Micera and Marc Pollefeys and Alexander Mathis},
       year={2025},