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vector-institute/dia-state-lab-2026

DIA lab footprint table This dataset is the rollup table for the Data & Impact Accounting (DIA) lab demo. It indexes the training footprint (energy, carbon, water) and lineage of a set of demo models trained across A100 / A40 / CPU hardware. It is produced by ingesting each model's dia_report card and is read by the DIA Gradio dashboard. It stores metadata only — no model weights. Files nodes.parquet — one flat row per model (browsable in the Dataset Viewer):… See the full description on the dataset page: https://huggingface.co/datasets/vector-institute/dia-state-lab-2026.

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DIA lab footprint table

This dataset is the rollup table for the Data & Impact Accounting (DIA) lab demo. It indexes the training footprint (energy, carbon, water) and lineage of a set of demo models trained across A100 / A40 / CPU hardware.

It is produced by ingesting each model's dia_report card and is read by the DIA Gradio dashboard. It stores metadata only — no model weights.

Files

  • —`nodes.parquet` — one flat row per model (browsable in the Dataset Viewer): energy/carbon/water intervals, data-quality tier, GPU, GPU-hours, region, lineage.
  • —`state.json` — the nested source of truth the dashboard loads.

How the rollup works

Given a base model, the dashboard builds the lineage as a directed graph and takes the base plus all its descendants as the family, then:

  1. 1.Sums incremental footprints — each model logs only its own training delta; the family total is the subtree sum.
  2. 2.Dedupes the DAG — a merged/shared model is counted once.
  3. 3.Reports coverage, not a bare total — totals are a lower bound at low disclosure.
  4. 4.Keeps provenance separate — measured vs estimated vs imputed.

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