Update README.md

README.md

@@ -13,4 +13,55 @@ tags:
 - esk
 size_categories:
 - 10K<n<100K
----
+task_categories:
+- question-answering
+---
+
+# EPFL Smart Kitchen: Lemonade benchmark
+
+## Abstract
+ we introduce Lemonade: **L**anguage models **E**valuation of **MO**tion a**N**d **A**ction-**D**riven **E**nquiries.
+ Lemonade consists of 36,521 closed-ended QA pairs linked to egocentric video clips, categorized in three groups and six subcategories.
+ 18,857 QAs focus on behavior understanding, leveraging the rich ground truth behavior annotations of the EPFL-Smart Kitchen to interrogate models about perceived actions (Perception) and reason over unseen behaviors (Reasoning).
+ 8,210 QAs involve longer video clips, challenging models in summarization (Summarization) and session-level inference (Session properties).
+ The remaining 9,463 QAs leverage the 3D pose estimation data to infer hand shapes, joint angles (Physical attributes), or trajectory velocities (Kinematics) from visual information.
+
+## Content
+The current repository contains all egocentric videos recorded in the EPFL-Smart-Kitchen-30 dataset. You can download the rest of the dataset at ... and ... .
+
+### Repository structure
+
+```
+Lemonade
+├── MCQs
+    └── lemonade_benchmark.csv
+├── videos
+    ├── YH2002_2023_12_04_10_15_23_hololens.mp4
+    └── ..
+└── README.md
+```
+
+`lemonade_benchmark.csv` : Table with the following fields:
+* **Question**  : Question to be answered
+* **QID** : Question identifier, an integer from 0 to 30
+* **Answers** : A list of possible answers to the question. This can be a multiple-choice set or open-ended responses.
+* **Correct Answer** : The answer that is deemed correct from the list of provided answers.
+* **Clip** : A reference to the video clip related to the question.
+* **Start** : The timestamp (in frame) in the clip where the question context begins.
+* **End** : The timestamp (in frame) in the clip where the question context ends.
+* **Category** : The broad topic under which the question falls (Behavior understanding, Long-term understanding or Motion and Biomechanics)
+* **Subcategory** : A more refined classification within the category (Perception, Reasoning, Summarization, Session properties, Physical attributes, Kinematics)
+* **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`.
+
+> See the refered publication for more details on the design of the benchmark.
+
+## Usage
+The evaluation of the benchmark can be done through the following github repository: ... . 
+
+## Publications
+cite arxiv paper
+
+## Acknowledgments
+We thank Andy Bonnetto for the design of the dataset and  Matea Tashkovska for the adaptation of the evaluation platform.