Duplicate from es833/ThousandWorlds

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README.md

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+---
+pretty_name: ThousandWorlds
+license: cc-by-4.0
+size_categories:
+  - 1K<n<10K
+task_categories:
+  - tabular-regression
+  - other
+tags:
+  - benchmark
+  - datasets
+  - physical-sciences
+  - scientific-machine-learning
+  - exoplanets
+  - climate
+  - astronomy
+  - emulation
+  - simulation
+  - physics
+  - pde
+  - parameter-to-field-regression
+  - structured-outputs
+  - multi-simulator-transfer
+  - spatiotemporal
+configs:
+  - config_name: input_planets
+    data_files:
+      - split: all
+        path: inputs.csv
+---
+
+# ThousandWorlds
+
+<img src="imgs/MASCOT.png" align="right" width="220" style="margin-top: -1.25rem;" alt="ThousandWorlds mascot">
+
+ThousandWorlds is a benchmark for emulating exoplanet climates: **1760
+simulations** across **5 GCMs**, **8 planet parameters**, and atmospheric
+variables on a 32 x 64 x 10 latitude-longitude-pressure grid. It includes three
+nested benchmark subsets, two evaluation protocols, and eight released baseline
+methods.
+
+[![Code](https://img.shields.io/badge/code-GitHub-181717.svg?logo=github)](https://github.com/edstevenson/ThousandWorlds)
+[![arXiv](https://img.shields.io/badge/arXiv-2606.18338-b31b1b.svg)](https://arxiv.org/abs/2606.18338)
+
+Inputs are 8 continuous planet parameters plus the source GCM label. Outputs
+are time-averaged climate fields on a 32 x 64 latitude-longitude grid:
+three-dimensional variables are stored as pressure-level channels, and
+two-dimensional variables are stored as single-level fields.
+
+![ThousandWorlds dataset schematic](imgs/OVERVIEW.png)
+
+## Quickstart
+
+The easiest way to use the benchmark is through the
+[Python code](https://github.com/edstevenson/ThousandWorlds):
+
+```bash
+git clone https://github.com/edstevenson/ThousandWorlds.git
+cd ThousandWorlds
+pip install -e .
+```
+
+```python
+import thousandworlds as tw
+
+tw.download_dataset()
+bundle = tw.load("single-complete", data_dir="dataset")
+```
+
+See the GitHub repository for the full quickstart, notebooks, baseline code,
+evaluation utilities, and reproducing paper results.
+
+## Files
+
+The release includes:
+
+- `archives/dataset.tar.gz`: the ThousandWorlds dataset.
+- `archives/results-baselines-*.tar.gz`: baseline predictions for the 3
+  subsets.
+- `croissant.json`: Croissant metadata.
+- `archives/*.sha256`: checksum sidecars.
+
+## Dataset Contents
+
+The dataset contains gridded fields (NumPy), input metadata (CSV), predefined
+train/test splits, normalization statistics, and spherical harmonic
+coefficients plus inverse-SHT weights for spectral methods.
+
+## Subsets
+
+The dataset is organized into three subsets of increasing complexity and
+realism:
+
+| Subset | Simulations | Fields | Description |
+| --- | ---: | ---: | --- |
+| `single-complete` | 256 | 48 | Smaller subset; simulations from a single GCM, complete observations only. |
+| `multi-complete` | 1659 | 48 | All 5 GCMs, still with no missing fields. |
+| `multi-partial` | 1760 | 53 | Full dataset; all 5 GCMs, with missing fields represented as NaNs. |
+
+The subset split files contain:
+
+| File | `single-complete` | `multi-complete` | `multi-partial` |
+| --- | ---: | ---: | ---: |
+| `train.csv` | 206 | 1538 | 1626 |
+| `test.csv` | 50 | 90 | 100 |
+| `test_shared_planets_only.csv` | - | 58 | 60 |
+| `held_out_aux.csv` | - | 31 | 34 |
+
+`held_out_aux.csv` is excluded from train and test to prevent train-test leakage (it contains simulations from auxiliary GCMs that correspond to identical planets present in the test set).
+
+## Inputs
+
+Each simulation has one row in `dataset/inputs.csv`, keyed by `simulation_id`.
+The public model inputs are stellar temperature, stellar flux, radius, gravity,
+rotation period, surface pressure, CO2, CH4, and `gcm_label`. The metadata also
+includes `is_target_gcm`, `in_target_physical_domain`, `planet_id`, and
+`source`.
+
+| Parameter | Range |
+| --- | --- |
+| Radius (Earth radii) | [0.7, 1.4] |
+| Surface gravity (m s^-2) | [6.0, 16.0] |
+| Rotation period (days) | [0.1, 1000.0] |
+| Surface pressure (bar) | [0.5, 5] |
+| CO2 volume fraction (%) | [0, 100] |
+| CH4 volume fraction (%) | [0, 5] |
+| Incident stellar flux (W m^-2) | [500, 1500] |
+| Stellar temperature (K) | [2500, 5800] |
+
+## Outputs
+
+Target fields include surface temperature, 3D temperature, specific humidity,
+cloud fraction, east-west wind, north-south wind, absorbed shortwave radiation,
+and outgoing longwave radiation. Gridded targets are provided on a 32 x 64
+latitude-longitude grid, with vertical fields stored on relative pressure
+levels.
+
+| Variable | Dimensionality | Unit |
+| --- | --- | --- |
+| Surface temperature | 2D | K |
+| Temperature | 3D | K |
+| Specific humidity | 3D | dex |
+| Cloud fraction | 3D | 1 |
+| East-west wind | 3D | m s^-1 |
+| North-south wind | 3D | m s^-1 |
+| Absorbed shortwave radiation | 2D | W m^-2 |
+| Outgoing longwave radiation | 2D | W m^-2 |
+
+The gridded field archives are:
+
+| File | Shape | Contents |
+| --- | --- | --- |
+| `dataset/fields/all-obs.npz` | `(1760, 53, 32, 64)` | Field archive covering all 5 GCMs with structured whole-field missingness. |
+| `dataset/fields/complete-obs-only.npz` | `(1659, 48, 32, 64)` | Complete-observation field archive. |
+
+**Spectral Coefficients:**
+The spectral coefficient archives mirror those field archives with T21
+spherical harmonic coefficients: `dataset/coefficients/*.npz` stores
+`coefficients` with 484 coefficients per field and a `field_mask` for missing
+fields. Whole-field missingness is represented as all-NaN gridded channels and
+as false entries in the spectral `field_mask`.
+
+## Evaluation
+
+The package includes loaders and metrics for two benchmark protocols:
+
+- **Standard**: the main test protocol, ideal for ML model comparison.
+- **Shared-planets**: evaluate on planets shared across target and auxiliary
+  GCMs; used to assess performance relative to inter-GCM error, i.e. how close
+  a model gets to the epistemic uncertainty floor of the problem.
+
+Released baselines include train mean, kNN, PCA ridge, PCA-MLP, Coord-MLP,
+Coord-DeepONet, PPCA-ICM, and GPLFR. Baseline artifacts include predictions,
+resolved configs, and metrics JSON files.
+
+## Links
+
+- DOI: https://doi.org/10.57967/hf/8695
+- Code: https://github.com/edstevenson/ThousandWorlds
+- Paper: https://arxiv.org/abs/2606.18338
+
+## Citation
+
+If you use ThousandWorlds, please cite the paper:
+
+```bibtex
+@article{thousandworlds2026,
+  title = {ThousandWorlds: A benchmark for climate emulation of potentially habitable exoplanets},
+  author = {Stevenson, Edward T. and Mak, Mei Ting and Wolf, Eric and Sergeev, Denis E. and Hammond, Tobi and Mayne, N. J. and Cranmer, Miles},
+  year = {2026},
+  eprint = {2606.18338},
+  archivePrefix = {arXiv},
+  doi = {10.48550/arXiv.2606.18338}
+}
+```

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+  "description": "Benchmark dataset and baseline result artifacts for exoplanet climate emulation. The release includes simulation input metadata, canonical train/test splits, gridded target fields, spectral coefficients, normalization statistics, baseline predictions, metrics, and per-variable score summaries.",
+  "url": "https://doi.org/10.57967/hf/8695",
+  "identifier": "https://doi.org/10.57967/hf/8695",
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+      "name": "Edward T. Stevenson",
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+        "name": "University of Cambridge"
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+      "@type": "sc:Person",
+      "name": "Mei Ting Mak",
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+        "name": "University of Oxford"
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+        "name": "University of Cambridge"
+      },
+      "email": "mc2473@cam.ac.uk"
+    }
+  ],
+  "keywords": [
+    "exoplanets",
+    "climate emulation",
+    "benchmark",
+    "surrogate modeling",
+    "probabilistic prediction"
+  ],
+  "datePublished": "2026-04-27",
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+  "rai:dataBiases": "The dataset reflects simulator, parameter-design, and preprocessing choices: ExoCAM and UM are target GCMs, auxiliary simulations are not uniformly represented across all benchmark subsets, and model behavior can depend on the released variable coverage and missing-field patterns.",
+  "rai:personalSensitiveInformation": "The dataset contains synthetic/numerical climate simulation outputs and associated physical parameters only. It contains no human-subject data and no personal or sensitive information.",
+  "rai:dataUseCases": "Validated use cases are benchmark development and evaluation for exoplanet climate emulation, surrogate modeling, missing-field handling, and probabilistic prediction over the released train/test protocols. The dataset is not validated for demographic fairness auditing, fine-tuning general-purpose AI systems, operational forecasting, or scientific claims beyond the documented simulation benchmark.",
+  "rai:dataSocialImpact": "Potential benefits include reproducible comparison of climate-emulation methods and broader access to expensive simulation-derived benchmark data. Main risks are overinterpreting benchmark scores or synthetic simulation outputs as observational truth; mitigations include explicit split definitions, public baseline artifacts, documented limitations, and open release metadata.",
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+      "description": "Baseline result shard for the multi-complete-ppca_icm subset. Extracts to results/ and includes predictions, metrics JSON, paper tables, scores.csv, and results/README.md for this subset.",
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+      "description": "Baseline result shard for the single-complete-ppca_icm subset. Extracts to results/ and includes predictions, metrics JSON, paper tables, scores.csv, and results/README.md for this subset.",
+      "contentUrl": "https://huggingface.co/datasets/es833/ThousandWorlds/resolve/v1.0.0/archives/results-baselines-single-complete-ppca_icm.tar.gz",
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+      "description": "Simulation input parameters and metadata inside dataset.tar.gz.",
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+      "encodingFormat": "text/csv"
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+      "@id": "split-csv-files",
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+      "encodingFormat": "text/csv",
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+      "description": "Gridded target field NPZ archives inside dataset.tar.gz.",
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+      "encodingFormat": "application/x-numpy",
+      "includes": "dataset/fields/*.npz"
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+      "name": "dataset/coefficients/*.npz",
+      "description": "Spectral coefficient NPZ archives inside dataset.tar.gz.",
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+      "encodingFormat": "application/x-numpy",
+      "includes": "dataset/coefficients/*.npz"
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+      "description": "Subset-specific normalization statistics and spectral transform metadata inside dataset.tar.gz.",
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+      "encodingFormat": "application/octet-stream",
+      "includes": "dataset/norm_stats/**/*"
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+      "name": "results/scores.csv",
+      "description": "Flat per-variable baseline score table included in the deterministic baseline archives and tracked in the source repository.",
+      "contentUrl": "results/scores.csv",
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+      "encodingFormat": "text/csv"
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+      "@id": "baseline-predictions",
+      "name": "results/models/<subset>/<method>/predictions.npz",
+      "description": "Baseline prediction NPZ files inside the baseline result archives.",
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+      "encodingFormat": "application/x-numpy",
+      "includes": "results/models/<subset>/<method>/predictions.npz"
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+      "@id": "baseline-metadata",
+      "name": "results/models/**/*.json",
+      "description": "Resolved baseline configs, metrics JSON files, and calibration metadata inside the baseline result archives.",
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+        {
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+        {
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+        {
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+        {
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+      "encodingFormat": "application/json",
+      "includes": "results/models/**/*.json"
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+      "@id": "inputs",
+      "name": "inputs",
+      "description": "One row per simulation, containing physical input parameters, GCM labels, split-relevant metadata, and provenance labels.",
+      "key": [
+        {
+          "@id": "inputs/simulation_id"
+        }
+      ],
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/simulation_id",
+          "name": "simulation_id",
+          "dataType": "sc:Integer",
+          "description": "Integer simulation identifier used to index field archives, coefficient archives, split CSVs, and predictions.",
+          "source": {
+            "extract": {
+              "column": "simulation_id"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/radius",
+          "name": "radius",
+          "dataType": "sc:Float",
+          "description": "Planet radius in meters.",
+          "source": {
+            "extract": {
+              "column": "radius"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/gravity",
+          "name": "gravity",
+          "dataType": "sc:Float",
+          "description": "Surface gravity in meters per second squared.",
+          "source": {
+            "extract": {
+              "column": "gravity"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/rotation_period",
+          "name": "rotation_period",
+          "dataType": "sc:Float",
+          "description": "Planet rotation period in Earth days.",
+          "source": {
+            "extract": {
+              "column": "rotation_period"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/surface_pressure",
+          "name": "surface_pressure",
+          "dataType": "sc:Float",
+          "description": "Surface pressure in pascals.",
+          "source": {
+            "extract": {
+              "column": "surface_pressure"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/co2",
+          "name": "co2",
+          "dataType": "sc:Float",
+          "description": "Atmospheric CO2 setting used by the simulation.",
+          "source": {
+            "extract": {
+              "column": "co2"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/ch4",
+          "name": "ch4",
+          "dataType": "sc:Float",
+          "description": "Atmospheric CH4 setting used by the simulation.",
+          "source": {
+            "extract": {
+              "column": "ch4"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/stellar_flux",
+          "name": "stellar_flux",
+          "dataType": "sc:Float",
+          "description": "Incident stellar flux in watts per square meter.",
+          "source": {
+            "extract": {
+              "column": "stellar_flux"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/stellar_temperature",
+          "name": "stellar_temperature",
+          "dataType": "sc:Float",
+          "description": "Stellar effective temperature in kelvin.",
+          "source": {
+            "extract": {
+              "column": "stellar_temperature"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/gcm_label",
+          "name": "gcm_label",
+          "dataType": "sc:Text",
+          "description": "General circulation model label for the simulation.",
+          "source": {
+            "extract": {
+              "column": "gcm_label"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/is_target_gcm",
+          "name": "is_target_gcm",
+          "dataType": "sc:Boolean",
+          "description": "Whether the simulation is from a target GCM used in the main benchmark protocols.",
+          "source": {
+            "extract": {
+              "column": "is_target_gcm"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/in_target_physical_domain",
+          "name": "in_target_physical_domain",
+          "dataType": "sc:Boolean",
+          "description": "Whether the simulation lies inside the benchmark target physical domain.",
+          "source": {
+            "extract": {
+              "column": "in_target_physical_domain"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/planet_id",
+          "name": "planet_id",
+          "dataType": "sc:Integer",
+          "description": "Planet identifier used to group cross-GCM simulations of the same planet.",
+          "source": {
+            "extract": {
+              "column": "planet_id"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "inputs/source",
+          "name": "source",
+          "dataType": "sc:Text",
+          "description": "Simulation provenance label.",
+          "source": {
+            "extract": {
+              "column": "source"
+            },
+            "fileObject": {
+              "@id": "inputs-csv"
+            }
+          }
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "subsets",
+      "name": "subsets",
+      "description": "Canonical ThousandWorlds benchmark subsets.",
+      "dataType": "sc:Enumeration",
+      "key": {
+        "@id": "subsets/name"
+      },
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "subsets/name",
+          "name": "name",
+          "dataType": "sc:Text"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "subsets/description",
+          "name": "description",
+          "dataType": "sc:Text"
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+      ],
+      "data": [
+        {
+          "subsets/name": "multi-partial",
+          "subsets/description": "Broadest multi-GCM subset; allows structured whole-field missingness."
+        },
+        {
+          "subsets/name": "multi-complete",
+          "subsets/description": "Multi-GCM subset restricted to fields observed for every included simulation."
+        },
+        {
+          "subsets/name": "single-complete",
+          "subsets/description": "Single-GCM subset restricted to complete observations."
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "partitions",
+      "name": "partitions",
+      "description": "Canonical train/test partition names and their machine-readable ML partition semantics.",
+      "dataType": "cr:Split",
+      "key": {
+        "@id": "partitions/name"
+      },
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "partitions/name",
+          "name": "name",
+          "dataType": "sc:Text"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "partitions/url",
+          "name": "url",
+          "dataType": "sc:Text"
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+      ],
+      "data": [
+        {
+          "partitions/name": "train",
+          "partitions/url": "cr:TrainingSplit"
+        },
+        {
+          "partitions/name": "test",
+          "partitions/url": "cr:TestSplit"
+        },
+        {
+          "partitions/name": "test_shared_planets_only",
+          "partitions/url": "cr:TestSplit"
+        },
+        {
+          "partitions/name": "held_out_aux",
+          "partitions/url": "cr:TestSplit"
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "split_files",
+      "name": "split_files",
+      "description": "Canonical split membership CSV files. Each file contains one simulation_id column.",
+      "dataType": "sc:Enumeration",
+      "key": [
+        {
+          "@id": "split_files/subset"
+        },
+        {
+          "@id": "split_files/partition"
+        }
+      ],
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "split_files/subset",
+          "name": "subset",
+          "dataType": "sc:Text",
+          "description": "Benchmark subset."
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "split_files/partition",
+          "name": "partition",
+          "dataType": "sc:Text",
+          "description": "Split file stem."
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "split_files/path",
+          "name": "path",
+          "dataType": "sc:Text",
+          "description": "Path within dataset.tar.gz."
+        }
+      ],
+      "data": [
+        {
+          "split_files/subset": "multi-partial",
+          "split_files/partition": "train",
+          "split_files/path": "dataset/subsets/multi-partial/train.csv"
+        },
+        {
+          "split_files/subset": "multi-partial",
+          "split_files/partition": "test",
+          "split_files/path": "dataset/subsets/multi-partial/test.csv"
+        },
+        {
+          "split_files/subset": "multi-partial",
+          "split_files/partition": "test_shared_planets_only",
+          "split_files/path": "dataset/subsets/multi-partial/test_shared_planets_only.csv"
+        },
+        {
+          "split_files/subset": "multi-partial",
+          "split_files/partition": "held_out_aux",
+          "split_files/path": "dataset/subsets/multi-partial/held_out_aux.csv"
+        },
+        {
+          "split_files/subset": "multi-complete",
+          "split_files/partition": "train",
+          "split_files/path": "dataset/subsets/multi-complete/train.csv"
+        },
+        {
+          "split_files/subset": "multi-complete",
+          "split_files/partition": "test",
+          "split_files/path": "dataset/subsets/multi-complete/test.csv"
+        },
+        {
+          "split_files/subset": "multi-complete",
+          "split_files/partition": "test_shared_planets_only",
+          "split_files/path": "dataset/subsets/multi-complete/test_shared_planets_only.csv"
+        },
+        {
+          "split_files/subset": "multi-complete",
+          "split_files/partition": "held_out_aux",
+          "split_files/path": "dataset/subsets/multi-complete/held_out_aux.csv"
+        },
+        {
+          "split_files/subset": "single-complete",
+          "split_files/partition": "train",
+          "split_files/path": "dataset/subsets/single-complete/train.csv"
+        },
+        {
+          "split_files/subset": "single-complete",
+          "split_files/partition": "test",
+          "split_files/path": "dataset/subsets/single-complete/test.csv"
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "baseline_scores",
+      "name": "baseline_scores",
+      "description": "Flat per-variable baseline score table. One row corresponds to one subset, protocol, method, metric, and output variable.",
+      "key": [
+        {
+          "@id": "baseline_scores/subset"
+        },
+        {
+          "@id": "baseline_scores/protocol"
+        },
+        {
+          "@id": "baseline_scores/method"
+        },
+        {
+          "@id": "baseline_scores/metric"
+        },
+        {
+          "@id": "baseline_scores/variable"
+        }
+      ],
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "baseline_scores/subset",
+          "name": "subset",
+          "dataType": "sc:Text",
+          "description": "Benchmark subset.",
+          "source": {
+            "extract": {
+              "column": "subset"
+            },
+            "fileObject": {
+              "@id": "scores-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "baseline_scores/protocol",
+          "name": "protocol",
+          "dataType": "sc:Text",
+          "description": "Evaluation protocol.",
+          "source": {
+            "extract": {
+              "column": "protocol"
+            },
+            "fileObject": {
+              "@id": "scores-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "baseline_scores/method",
+          "name": "method",
+          "dataType": "sc:Text",
+          "description": "Baseline method name.",
+          "source": {
+            "extract": {
+              "column": "method"
+            },
+            "fileObject": {
+              "@id": "scores-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "baseline_scores/metric",
+          "name": "metric",
+          "dataType": "sc:Text",
+          "description": "Metric name, such as rmse, energy_score, relative_rmse, or relative_energy_score.",
+          "source": {
+            "extract": {
+              "column": "metric"
+            },
+            "fileObject": {
+              "@id": "scores-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "baseline_scores/variable",
+          "name": "variable",
+          "dataType": "sc:Text",
+          "description": "Output variable name after field-level metrics are aggregated to variables.",
+          "source": {
+            "extract": {
+              "column": "variable"
+            },
+            "fileObject": {
+              "@id": "scores-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "baseline_scores/value",
+          "name": "value",
+          "dataType": "sc:Float",
+          "description": "Metric value.",
+          "source": {
+            "extract": {
+              "column": "value"
+            },
+            "fileObject": {
+              "@id": "scores-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "baseline_scores/metrics_path",
+          "name": "metrics_path",
+          "dataType": "sc:Text",
+          "description": "Path to the metrics JSON file within the extracted results tree.",
+          "source": {
+            "extract": {
+              "column": "metrics_path"
+            },
+            "fileObject": {
+              "@id": "scores-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "baseline_scores/predictions_path",
+          "name": "predictions_path",
+          "dataType": "sc:Text",
+          "description": "Path to the prediction NPZ file within the extracted results tree.",
+          "source": {
+            "extract": {
+              "column": "predictions_path"
+            },
+            "fileObject": {
+              "@id": "scores-csv"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "baseline_scores/config_path",
+          "name": "config_path",
+          "dataType": "sc:Text",
+          "description": "Path to the resolved baseline config JSON file within the extracted results tree.",
+          "source": {
+            "extract": {
+              "column": "config_path"
+            },
+            "fileObject": {
+              "@id": "scores-csv"
+            }
+          }
+        }
+      ]
+    }
+  ],
+  "version": "1.0",
+  "citeAs": "Stevenson, E. T., Mak, M. T., Wolf, E., Sergeev, D. E., Hammond, T., Mayne, N. J., and Cranmer, M. ThousandWorlds: Benchmark dataset for exoplanet climate emulation. Hugging Face. https://doi.org/10.57967/hf/8695"
+}

version.json

@@ -0,0 +1,10 @@
+{
+  "name": "ThousandWorlds",
+  "version": "1.0.0",
+  "hf_repo": "es833/ThousandWorlds",
+  "hf_revision": "v1.0.0",
+  "archives": {
+    "dataset": "archives/dataset.tar.gz",
+    "baselines": "archives/results-baselines-*.tar.gz"
+  }
+}