brianward92/draftfm-frozen-eval
DraftFM frozen_eval: the per-pick prediction archive Every prediction behind the tables in the DraftFM paper, archived so the results can be recomputed (no GPU needed) and audited pick by pick. Model: brianward92/draftfm Code and paper: https://github.com/brianward92/mtga Each top-level directory is named by the sha256 of the frozen data snapshot it was evaluated against — the directory name itself is the registration. Inside are per-pick prediction parquets for every model in… See the full description on the dataset page: https://huggingface.co/datasets/brianward92/draftfm-frozen-eval.
DraftFM frozen_eval: the per-pick prediction archive
Every prediction behind the tables in the DraftFM paper, archived so the results can be recomputed (no GPU needed) and audited pick by pick.
- Model: brianward92/draftfm
- Code and paper: https://github.com/brianward92/mtga
Each top-level directory is named by the sha256 of the frozen data snapshot it was evaluated against — the directory name itself is the registration. Inside are per-pick prediction parquets for every model in the battery (scaling rungs s1–s16, f-dev, f-full, ablations, and baselines), in both human and deployment scoring modes, plus derived accuracy curves and a summary.json recording the evaluation context and gates.
Directories
The rehearsals are included deliberately: the protocol's credibility comes from showing the pipeline was exercised and frozen before the one-shot MSH evaluation, not tuned after it.
Using it
Each <model>.<mode>.parquet holds one row per pick with the model's probability over the pack and the chosen card; summary.json in each directory records the snapshot sha256, S3 ETag, protocol tag, execution timestamp, and data-quality gates. To recompute a table, aggregate the parquets; to audit a claim, join any pick back to its prediction. The battery definition lives in the model repo's frozen_battery.json; the chronology is in the code repo's docs/eval_protocol.md.
Provenance and licensing
These files are model outputs and derived aggregates generated by the DraftFM pipeline (Apache-2.0). The underlying human draft data is the 17Lands public dataset (CC BY 4.0 — "Data from 17Lands.com"); raw 17Lands rows are not redistributed here. Unofficial Fan Content per the Wizards of the Coast Fan Content Policy; not approved or endorsed by Wizards.
Contact
Brian Ward — brian.ward.92@gmail.com
