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Short dataset card pointing at the genco-paper-repro README

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  ---
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  license: apache-2.0
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- tags:
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- - power-systems
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- - power-flow
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- - optimal-power-flow
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- - powermodels
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  ---
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- # gridfm-datakit PowerModels setup-2 scenarios
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- Paper: **[gridfm-datakit-v1: A Python Library for Scalable and Realistic Power Flow and Optimal Power Flow Data Generation](https://arxiv.org/abs/2512.14658)**
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-
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- The **10,000 PowerModels JSON scenarios per grid** used in the classical-solver
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- runtime (setup 2 / from-disk) of that paper: AC-PF, DC-PF, AC-OPF, and DC-OPF
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- wall-time figures. Files are the corrected pool
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- (`scenario_*_corrected.json`). Indices wrap when the matrix asks for more than
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- 10,000 solves.
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-
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- Code and the 56 result CSVs live in `scripts/runtime/` of
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- [`gridfm/gridfm-datakit`](https://github.com/gridfm/gridfm-datakit) (see that
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- directory’s README).
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-
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- Data-diversity figures (different snapshot, `case118_ieee` parquet) live at
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- [`gridfm/reproducibility-datakit-technical-report`](https://huggingface.co/datasets/gridfm/reproducibility-datakit-technical-report).
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-
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- ## Layout
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-
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- Matches `$GRIDFM_DATA_BASE/{pf,opf}/<network>/powermodels/scenario_*_corrected.json`.
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-
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- | Path | Scenarios | Size |
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- |------|----------:|-----:|
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- | `pf/case14_ieee/powermodels/` | 10,000 | 0.09 GiB |
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- | `pf/case30_ieee/powermodels/` | 10,000 | 0.18 GiB |
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- | `pf/case57_ieee/powermodels/` | 10,000 | 0.33 GiB |
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- | `pf/case118_ieee/powermodels/` | 10,000 | 0.85 GiB |
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- | `pf/case500_goc/powermodels/` | 10,000 | 3.5 GiB |
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- | `pf/case2000_goc/powermodels/` | 10,000 | 14.5 GiB |
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- | `pf/case10000_goc/powermodels/` | 10,000 | 58.6 GiB |
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- | `opf/case14_ieee/powermodels/` | 10,000 | 0.09 GiB |
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- | `opf/case30_ieee/powermodels/` | 10,000 | 0.18 GiB |
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- | `opf/case57_ieee/powermodels/` | 10,000 | 0.33 GiB |
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- | `opf/case118_ieee/powermodels/` | 10,000 | 0.85 GiB |
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- | `opf/case500_goc/powermodels/` | 10,000 | 3.5 GiB |
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- | `opf/case2000_goc/powermodels/` | 10,000 | 14.5 GiB |
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- | `opf/case10000_goc/powermodels/` | 10,000 | 58.6 GiB |
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-
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- **Total:** 140,000 files, about **156 GiB**. PF and OPF splits are both required: PF/DCPF jobs read `pf/`, OPF/DCOPF jobs read `opf/`. GOC 2000/10000 are most of the bytes.
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-
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- ## Download
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-
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- The full tree is large (GOC 2000/10000 dominate). Download only what you need:
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-
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- ```bash
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- # IEEE + case500 only (small jobs)
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- hf download gridfm/reproducibility-powermodels-setup2 --repo-type dataset \
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- --local-dir /path/to/finetuning \
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- --exclude "pf/case2000_goc/**" --exclude "pf/case10000_goc/**" \
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- --exclude "opf/case2000_goc/**" --exclude "opf/case10000_goc/**"
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-
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- # one network
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- hf download gridfm/reproducibility-powermodels-setup2 --repo-type dataset \
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- --local-dir /path/to/finetuning \
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- --include "pf/case14_ieee/**" --include "opf/case14_ieee/**"
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- ```
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-
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- Then:
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-
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- ```bash
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- export GRIDFM_DATA_BASE=/path/to/finetuning
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- # already scenario_*_corrected.json — do not run run_correction.sh
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- bash scripts/runtime/pure_julia/run_small_setup2.sh
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- ```
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-
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- Setup 1 does not use this dataset (it solves the corrected `.m` base case in memory).
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-
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- ## Notes
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-
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- - Original cluster path: `/dccstor/gridfm/powermodels_data/v4/finetuning`.
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- - Uncorrected `scenario_*.json` files are **not** included; only `*_corrected.json`.
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- - The `apache-2.0` licence applies to this converted snapshot and the datakit code.
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- Underlying PGLib / GOC network models retain their original terms.
 
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  ---
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  license: apache-2.0
 
 
 
 
 
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  ---
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+ Corrected PowerModels JSON for the [GENCO](https://arxiv.org/abs/2608.09921) setup-2 (from-disk) runtime experiments.
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+ How to reproduce: [`scripts/runtime/README.md`](https://github.com/gridfm/gridfm-datakit/blob/genco-paper-repro/scripts/runtime/README.md) on branch `genco-paper-repro`.