Update README.md

README.md

@@ -1,26 +1,7 @@
----
-dataset_info:
-  features:
-  - name: repoName
-    dtype: string
-  - name: tree
-    dtype: string
-  - name: readme
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 142452923
-    num_examples: 2863
-  - name: val
-    num_bytes: 18136850
-    num_examples: 319
-  download_size: 62341533
-  dataset_size: 160589773
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: val
-    path: data/val-*
----
+The structTuningNEAR dataset is a subset of the original nearData dataset, specially prepared for the structure-aware finetuning of a pre-trained LLM. 
+
+The Structure-Aware Finetuning approach instructs the model with dApps trees and their corresponding readme files. It aim to give the model a good knowledge of the whole dApp logic so that when a user asks it to create an app, the model will primarily provide an output focused on the big-picture structure and its description. The goal of Structure-Aware Finetuning is to bypass the limited logic of the 'next-token prediction', which sometimes spins the model in 'dumb loops' while iterating over complex coding challenges. Structure-aware code LLMs should also be of great use for code understanding and code discussion.
+
+The structTuningNEAR dataset is made of: 
+- nearDappsTrees: 3414 text files representing the tree structure extracted from the nearDapps files. 
+- nearDappsReadme: 23166 readme files extracted in text formats from the nearDapps files.