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README.md

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-CosmoBench
+## CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning
+
+Paper: <https://arxiv.org/abs/2507.03707> *See Table 1 in Paper for details of each dataset*
+Github: <https://github.com/nhuang37/cosmology_benchmark>
+
+### Data 
+#### Point cloud datasets
+- Quijote: large-scale point clouds simulated with box size 1000 cMpc/h
+  - top5000_halos*: each h5 file contains a train/validation/test split of point clouds, where each point cloud contains the top-5000 halos (sorted by mass) within the simulation
+  - ALL_halos_*: each h5 file contains a train/validation/test split of point clouds, where each point cloud contains all halos within the simulation
+- CAMELS-SAM/galaxies: medium-scale point clouds simulated with box size 100 cMpc
+  - top5000_galaxies*: each h5 file contains a train/validation/test split of point clouds, where each point cloud contains the top-5000 galaxies (sorted by mass) within the simulation
+  - ALL_galaxies_*: each h5 file contains a train/validation/test split of point clouds, where each point cloud contains all galaxies within the simulation
+- CAMELS: small-scale point clouds simulated with box size 25 cMpc/h
+  - ALL_halos_*: each h5 file contains a train/validation/test split of point clouds, where each point cloud contains all galaxies within the simulation
+
+#### Merger tree datasets
+- CAMELS-SAM/trees: merger trees constructed via the merging history of CAMELS-SAM halos
+  - CS_tree*: each pt file contains a list of Pytorch Geometric (PyG) data from the train/validation/test split, where each data describes a merger tree intended for tree-level regression tasks
+  - infilling_trees_25k_200*: each pt file contains a list of Pytorch Geometric (PyG) data from the train/validation/test split, where each data describes a merger tree intended for node-level classification tasks.