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|---|---|---|---|---|---|---|
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End of preview. Expand in Data Studio
Coffee Roast Profiles — Technical Values (hybrid: real public + science-grounded synthetic)
Professional roasters rarely publish their recipes. This dataset groups what IS public and
fills coverage gaps with clearly-labeled synthetic profiles generated from published
roasting-science parameter tables. Every row carries source_type (real / synthetic)
and full attribution.
Files
- roast_summary.csv — one row per roast with the full technical summary (see field list below).
- roast_summary.json — one row per roast with the full technical summary (JSON array; see field list below).
- roast_curves.json — the time-series subset as a JSON array: bean temperature per logged point (1 Hz for synthetic), computed rate-of-rise for every curve (15 s window, including the real logs which never logged it),
equipment_typeandroast_levelbackfilled from the summary row where the source published them, andhas_crash_flick(synthetic only): records of{"roast_id", "t_s", "bean_temp_c", "ror_c_per_min", "equipment_type", "roast_level", "has_crash_flick"}. - benchmark.md / benchmark_results.json / benchmark_splits.json — a four-task benchmark (roast-level classification, first-crack prediction, development-ratio regression, crash-&-flick detection) with a shared seed-42 train/val/test split over the synthetic curves, HistGradientBoosting baseline scores, and the real curves as an unlabeled transfer set.
- roast_features.json — derived, roaster-relevant features for every curve record (join on
roast_id): computed RoR series (15 s window), RoR peak, heuristic dry-end and first-crack estimates, development time/ratio estimates, sampling rate and the method notes for each estimate. - roast_reference.json — per-origin green-coffee reference table (join on
bean_origin): arabica altitude bands, commercial screen/grade nomenclature, defect-grading basis, density and moisture ranges, with per-cell sources.density_g_l_estis null where no published figure exists.
Both viewer-listed files are JSON on purpose: the dataset viewer routed this mixed-format repo's configs through its CSV reader (breaking the curves config), and a single format keeps every config loadable via load_dataset("luispoveda93/coffee-roast-profiles", "summary" | "curves" | "features" | "reference").
- validation_report.md — synthetic-distribution check against the Roastetta n=3,286 aggregate.
- build_dataset.py — the deterministic generator (seed=42) that produced the synthetic rows.
Sources of the REAL rows
| source | rows | license / terms |
|---|---|---|
| Zenodo 21383046 — Open Dataset of Coffee Roasting Profiles and Physical Variables (Teodoro et al., 2025) | see source column |
cc-by-4.0 |
| Trabocca Roast Curve Library — 18 Cropster curves from 13 professional roasters | 0 (the site blocks datacenter IPs; download the curves manually from the links above) | free to download and use, with attribution |
| Sweet Maria's Coffee Library — published popper/Gene Cafe profiles | hand-transcribed | blog facts, cited with attribution |
Aggregates from Roastetta (n=3,286) were used ONLY as a validation reference for the synthetic generator — the site was not scraped, per its terms of service.
Field documentation (roast_summary.csv)
| field | unit | notes |
|---|---|---|
| roast_id | — | stable id; synthetic- prefixed rows are generated |
| source_type | — | real or synthetic |
| source / source_url / license | — | provenance and terms |
| roaster_name | — | named roaster or generated |
| equipment_type | — | drum, air, hybrid |
| equipment_model / probe_note | — | machine where published |
| batch_size_g | g green | |
| bean_origin / bean_process / bean_variety | — | |
| green_density_g_l | g/L | green bulk density (reference range 775–836) |
| green_moisture_pct | % | green moisture (reference 10–12%) |
| ambient_temp_c / ambient_humidity_pct | °C / % | environment at charge |
| charge_temp_c | °C | bean-probe temp at charge |
| turning_point_time_s / _temp_c | s / °C | minimum bean temp after charge |
| dry_end_time_s | s | end of drying phase (yellowing end) |
| maillard_end_time_s | s | end of Maillard phase (≈ first crack start) |
| first_crack_time_s / _temp_c | s / °C | first crack anchor |
| development_time_s | s | first crack start → drop |
| development_ratio | — | development_time / total_time |
| drop_temp_c | °C | bean-probe temp at drop |
| total_roast_time_s | s | charge → drop |
| weight_loss_pct | % | green → roasted mass loss |
| agtron_gourmet / agtron_commercial | — | Agtron color (whole-bean gourmet scale; commercial via Agtron Inc anchor mapping) |
| roast_level | — | cinnamon … very-dark (drop temp + DTR based) |
| brew_intent | — | filter / espresso / omni |
| has_curves | — | whether a matching time series exists in roast_curves.json |
| notes | — | caveats (e.g. crash & flick defects included, partial transcription) |
Roasting-science grounding for the synthetic generator
- Stage rate-of-rise windows (drying 8–12 °C/min, Maillard 6–10, crack window 4–8, development 3–6): World Coffee Roasting Championship 2025 rules.
- Development-time-ratio guidance: Rao, "Development Time Ratio" (scottrao.com).
- Roast-level table (drop temp / DTR / Agtron): Virgin Coffee Sample Roasting Profile Guide.
- Charge temp ≈170.7 °C at 400 g with down-scaling by batch size; phase split 47.3/35.3/17.4%; weight loss 13.9% mean: Roastetta aggregate (n=3,286), used as reference only.
- Green density 775–836 g/L, moisture 10–12%: Mutovkina & Bredikhin; WCRC 2025.
- 25% of synthetic profiles include a flagged
crash & flickdefect pattern (Rao) so classifiers can train on it; filter withhas_crash_flickin the curve records.
Null policy
Nulls in this dataset are information, not omissions:
- Real rows are sparse because their sources were. The Zenodo .alog logs contain thermal curves only — no origin, moisture, density, Agtron or batch metadata was published, so those fields stay null (97–100% null on real rows). The 4 Sweet Maria's rows carry only published times/temps. These values are never imputed: filling them would mean inventing the very production data roasters keep private.
has_crash_flickis null on real curves — the defect flag is defined only for generated profiles.featuresestimates can be null (~2–3%) where a heuristic cannot fire: curves that never cross the 196 °C crack threshold (very light roasts), or RoR noise that defeats the dry-end heuristic. The method columns document each estimate.reference.density_g_l_estis null for origins with no published per-origin figure (Peru, Mexico, Uganda, India, Guatemala, Kenya) — see thesourcescolumn for what exists.equipment_modelis null on synthetic rows (no machine is simulated) andsource_urlon synthetic rows (their source is the in-repo generator, named insource).
Intended use
Benchmarking roast-curve models, crack/phase detection, profile-classification, recipe recommendation research, and teaching. Synthetic rows are simulations grounded in published ranges — they are NOT leaked production recipes.
Citation
If you use the real rows, follow the per-row source/license columns. Generator:
build_dataset.py in this repository (seed=42).
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