Update README.md

README.md

@@ -484,6 +484,28 @@ With the release of this dataset, we aim to lower the barrier for optimization a
 - **Paper:** [not published yet]
 - **Code:** https://github.com/proximafusion/constellaration
 
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+
+The dataset consists of 2 tabular parts. Both parts have a column `plasma_config_id` in common which can be used to associate respective entries.
+
+### 1. `full_json`/`full_flat`
+Contains information about:
+- plasma boundaries  
+- ideal MHD metrics
+- omnigenous field and targets, used as input for sampling of plasma boundaries
+- sampling settings for various methods ([DESC](https://desc-docs.readthedocs.io/en/stable/), [VMEC](https://github.com/proximafusion/vmecpp), QP initialization, Near-axis expansion)
+- Miscellaneous information about errors that might have occurred during sampling or metrics computation.
+
+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).
+
+### 2. `vmecpp_ideal_mhd_equilibria`
+Contain for each plasma boundary a JSON representations of the "WOut" file as obtained when running VMEC++ initialized on the boundary.
+The JSON representation can be converted to a VMEC2000 output file.
+
 ## Uses
 
 ### Basic Usage
@@ -664,7 +686,7 @@ from constellaration.utils import visualization
 visualization.plot_flux_surfaces(vmecpp_wout, boundary)
 ```
 ![Plot of flux surfaces](flux_surfaces.png)
-Save ideal MHD equilibrium to VMEC2000 WOut file:
+Save ideal MHD equilibrium to *VMEC2000 WOut* file:
 ```python
 import pathlib
 from constellaration.utils import file_exporter
@@ -672,28 +694,6 @@ from constellaration.utils import file_exporter
 file_exporter.to_vmec2000_wout_file(vmecpp_wout, pathlib.Path("vmec2000_wout.nc"))
 ```
 
-## Dataset Structure
-
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-
-The dataset consists of 2 tabular parts. Both parts have a column `plasma_config_id` in common which can be used to associate respective entries.
-
-### 1. `full_json`/`full_flat`
-Contains information about:
-- plasma boundaries  
-- ideal MHD metrics
-- omnigenous field and targets, used as input for sampling of plasma boundaries
-- sampling settings for various methods ([DESC](https://desc-docs.readthedocs.io/en/stable/), [VMEC](https://github.com/proximafusion/vmecpp), QP initialization, Near-axis expansion)
-- Miscellaneous information about errors that might have occurred during sampling or metrics computation.
-
-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).
-
-### 2. `vmecpp_ideal_mhd_equilibria`
-Contain for each plasma boundary a JSON representations of the "WOut" file as obtained when running VMEC++ initialized on the boundary.
-The JSON representation can be converted to a VMEC2000 output file.
-
 ## Dataset Creation
 
 ### Curation Rationale
@@ -730,7 +730,12 @@ The dataset contains no personally identifiable information.
 
 **BibTeX:**
 
-[not published yet]
+@article{article_id,
+  author    = {Santiago A Cadena, Andrea Merlo, Emanuel Laude, Alexander Bauer, Atul Agrawal, Maria Pascu, Marija Savtchouk, Lukas Bonauer, Enrico Guiraud, Stuart R. Hudson, Markus Kaiser},
+  title     = {ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks},
+  journal   = {NeurIPS 2025 Datasets and Benchmarks Track},
+  year      = {2025}
+}
 
 ## Glossary