Update README.md

README.md

@@ -33,7 +33,7 @@ configs:
     path: "exemplar/*.json"
 - config_name: model-type
   data_files:
-  - split: 2-20
+  - split: rule4ml
     path: 
      - "train/*2layer*.json"
      - "test/*2layer*.json"
@@ -200,7 +200,7 @@ The dataset as a whole is split, distributed, and intended to be used as follows
 Within each subset, excluding the exemplar test set, the data is further grouped as follows.  
 These categories explain the composition of our dataset but have no bearing on how a given estimator should be trained.  
 
-- **2_20**: The updated rule4ml dataset, containing fully-connected neural networks that were randomly generated with layer counts between 2 and 20 layers, using hls4ml resource and latency strategies.  
+- **2_20 (rule4ml)**: The updated rule4ml dataset, containing fully-connected neural networks that were randomly generated with layer counts between 2 and 20 layers, using hls4ml resource and latency strategies.  
 - **2_layer**: A subset containing 2-layer deep fully-connected neural networks generated via a grid search using hls4ml resource and io_parallel strategies.  
 - **3_layer**: A subset containing 3-layer deep fully-connected neural networks generated via a grid search using hls4ml resource and io_parallel strategies.  
 - **conv1d**: A subset containing 3–7 layer deep 1-dimensional convolutional neural networks that were randomly generated and use hls4ml resource and io_stream strategies.