Update README.md

README.md

@@ -26,8 +26,7 @@ Comparative assessement of differents LLMs, Model evaluation, audit, and model s
 ## Quickstart
 
 - Explore the dataset here:  https://huggingface.co/datasets/patrickfleith/Astro-mcqa/viewer/default/train
-- Evaluate an LLM (Mistral-7b) on AstroMCQA on collab here:
-<a target="_blank" href="https://colab.research.google.com/github/patrickfleith/astro-llms-notebooks/blob/main/Evaluate_an_HuggingFace_LLM_on_a_Domain_Specific_Benchmark_Dataset.ipynb">
+- Evaluate an LLM (Mistral-7b) on AstroMCQA on collab here:<a target="_blank" href="https://colab.research.google.com/github/patrickfleith/astro-llms-notebooks/blob/main/Evaluate_an_HuggingFace_LLM_on_a_Domain_Specific_Benchmark_Dataset.ipynb">
   <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
 </a>
 
@@ -40,11 +39,8 @@ The primary purpose of AstroMCQA is for application developers in the domain of
 
 It is not suitable for training / fine-tuning LLM due to the very limited size of the dataset even if it could be combined with other tasks and science dataset for meta-learning.
 
-
 # DATASET DESCRIPTION
-
 ### Access
-
 - Manual download from Hugging face hub: https://huggingface.co/datasets/patrickfleith/Astro-mcqa
 - Or with python:
 ```python
@@ -71,7 +67,6 @@ All instances in the dataset are in english
 200 expert-created Multiple Choice Questions and Answers
  
 ### Types of Questions
- 
 - Some questions request expected generic knowledge in the field of space science and engineering.
 - Some questions require reasoning capabilities
 - Some questions require mathematical operations since a numerical result is expected (exam-style questions)
@@ -79,14 +74,13 @@ All instances in the dataset are in english
 ### Topics Covered
 Different subdomains of space engineering are covered, including propulsion, operations, human spaceflight, space environment and effects, space project lifecycle, communication and link analysis, and more.
 
+# LICENSE
+AstroMCQA © 2024 by Patrick Fleith is licensed under Creative Commons Attribution 4.0 International
+
 # USAGE AND GUIDELINES
- 
 #### Restrictions
 No restriction. Please provide the correct attribution following the license terms.
  
-#### License
-AstroMCQA © 2024 by Patrick Fleith is licensed under Creative Commons Attribution 4.0 International
- 
 #### Citation
 P. Fleith, AstroMCQA – Astronautics multiple choice questions and answers benchmark dataset for domain of Space Mission Engineering for LLM Evaluation, (2024). 
  
@@ -99,10 +93,6 @@ Use the community discussion tab directly on the huggingface Astro-mcqa dataset
 #### Contact Information
 Reach me here on the community tab or on LinkedIn (Patrick Fleith) with a Note.
 
-#### License
-
-AstroMCQA © 2024 by Patrick Fleith is licensed under Creative Commons Attribution 4.0 International
-
 #### Current Limitations and future work
 - Only 200 multiple choice questions and answers. This makes it useless for fine-tuning purpose, although it could be integrated as part of a larger pool of datasets compiled for a larger fine-tuning.
 - While being a descent size enabling LLM evaluation, the space engineering expert time is scarce and expensive. On average it takes 8 minutes to create one MCQA example. Having more examples would be much better for robustness.