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README.md

@@ -23,15 +23,12 @@ task_categories:
 
 ## 📚 Introduction
  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.
+Lemonade consists of <span style="color: orange;">36,521</span> closed-ended QA pairs linked to egocentric video clips, categorized in three groups and six subcategories. <span style="color: orange;">18,857</span> QAs focus on behavior understanding, leveraging the rich ground truth behavior annotations of the EPFL-Smart Kitchen to interrogate models about perceived actions <span style="color: tomato;">(Perception)</span> and reason over unseen behaviors <span style="color: tomato;">(Reasoning)</span>. <span style="color: orange;">8,210</span> QAs involve longer video clips, challenging models in summarization <span style="color: gold;">(Summarization)</span> and session-level inference <span style="color: gold;">(Session properties)</span>. The remaining <span style="color: orange;">9,463</span> QAs leverage the 3D pose estimation data to infer hand shapes, joint angles <span style="color: skyblue;">(Physical attributes)</span>, or trajectory velocities <span style="color: skyblue;">(Kinematics)</span> 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 ... .
+The current repository contains all egocentric videos recorded in the EPFL-Smart-Kitchen-30 dataset and the question answer pairs of the Lemonade benchmark. Please refer to the [main GitHub repository](https://github.com/amathislab/EPFL-Smart-Kitchen#) to find the other benchmarks and links to download other modalities of the EPFL-Smart-Kitchen-30 dataset.
 
-### Repository structure
+### 🗃️ Repository structure
 
 ```
 Lemonade
@@ -44,6 +41,7 @@ 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>
 **Answers** : A list of possible answers to the question. This can be a multiple-choice set or open-ended responses. </br>
@@ -60,10 +58,10 @@ Lemonade
 > We refer the reader to the associated publication for details about data processing and tasks description.
 
 ## 📈 Evaluation results
-
+![evaluation_results](media/evaluation_results.svg)
 
 ## 🌈 Usage
-The evaluation of the benchmark can be done through the following github repository: ... . 
+The evaluation of the benchmark can be done through the following github repository: [https://github.com/amathislab/lmms-eval-lemonade](https://github.com/amathislab/lmms-eval-lemonade)