Update README.md

README.md

@@ -296,8 +296,8 @@ The dataset consists of 2 tabular parts. Both parts have a column `plasma_config
 
 <table>
   <tr>
-    <th style="border-right: 1px solid gray;">full_json/full_flat</th>
-    <th>vmecpp_ideal_mhd_equilibria</th>
+    <th style="border-right: 1px solid gray;">default</th>
+    <th>vmecpp_wout</th>
   </tr>
   <tr>
     <td style="border-right: 1px solid gray;">
@@ -309,15 +309,14 @@ The dataset consists of 2 tabular parts. Both parts have a column `plasma_config
             <li>Sampling settings for various methods (DESC, VMEC, QP initialization, Near-axis expansion)</li>
             <li>Miscellaneous information about errors that might have occurred during sampling or metrics computation.</li>
         </ul>
+        For each of the components above there is an identifier column (ending with `.id`), a JSON column containing a JSON-string representation, as well as one column per leaf in the nested JSON structure (with `.` separating the keys on the JSON path to the respective leaf).
 </td>
-    <td>Contains, for each plasma boundary, a JSON representations of the "WOut" file as obtained when running VMEC, initialized on the boundary.<br>The JSON representation can be converted to a VMEC2000 output file.
+    <td>Contains, for each plasma boundary, a JSON-string representations of the "WOut" file as obtained when running VMEC, initialized on the boundary.<br>The JSON representation can be converted to a VMEC2000 output file.
 </td>
   </tr>
 </table>
 
-The `full_json` variant of the dataset contains for each of the components listed about an identifier column (ending with `.id`), as well as a JSON column.
-
-The `full_flat` variant contains the same information as `full_json` but with all JSON columns flattened into one column per leaf in the nested JSON structure (with `.` separating the keys on the JSON path to the respective leaf).
+The columns `plasma_config_id` and `vmecpp_wout_id` are present in both parts and link the two in both directions.
 
 ## Uses
 
@@ -328,6 +327,7 @@ Load the dataset and convert to a Pandas Dataframe (here, `torch` is used as an
 ```python
 import datasets
 import torch
+from pprint import pprint
 
 ds = datasets.load_dataset(
     "proxima-fusion/constellaration",
@@ -508,9 +508,9 @@ row = next(wout_ds.__iter__())
 
 vmecpp_wout_json = row["json"]
 vmecpp_wout = vmec_utils.VmecppWOut.model_validate_json(vmecpp_wout_json)
-```
 
 # Fetch corresponding boundary
+
 plasma_config_id = row["plasma_config_id"]
 boundary_json = pandas_ds.loc[plasma_config_id]["boundary.json"]
 boundary = surface_rz_fourier.SurfaceRZFourier.model_validate_json(boundary_json)