Refresh dataset README

README.md

@@ -1,83 +1,71 @@
----
-license: cc0-1.0
-tags:
-- weather
-- aarhus
-- denmark
-- forecast
-- observations
-- machine-learning
----
-
-# DMI Aarhus Weather Data
-
-Historisk vejr forecast- og observationsdata for Aarhus, Danmark. Bruges til træning af ML-modeller.
-
-## Filer
-
-| Fil | Beskrivelse | Opdateret af |
-|-----|-------------|--------------|
-| `training_matrix.parquet` | Forecasts, actuals og kausale observationsfeatures | dmi-collector |
-| `model_registry.json` | Aktiv model registry (hvilke modeller er aktive) | dmi-ml-trainer |
-| `model_meta.json` | Træningsmetadata (tidspunkt, antal samples) | dmi-ml-trainer |
-| `temperature_models.pkl` | Temperatur model bundle (4 lead buckets) | dmi-ml-trainer |
-| `wind_speed_models.pkl` | Vindhastighed model bundle (4 lead buckets) | dmi-ml-trainer |
-| `wind_gust_models.pkl` | Vindstød model bundle (4 lead buckets) | dmi-ml-trainer |
-| `rain_event_models.pkl` | Regnhændelse model bundle (4 lead buckets) | dmi-ml-trainer |
-| `rain_amount_models.pkl` | Regnmængde model bundle (4 lead buckets) | dmi-ml-trainer |
-
-## Schema: training_matrix.parquet
-
-| Kolonne | Type | Beskrivelse |
-|---------|------|-------------|
-| `target_timestamp` | datetime | Tidspunkt for forecast (Europe/Copenhagen) |
-| `reference_time` | datetime | Hvornår forecast blev genereret |
-| `lead_time_hours` | int | Timer mellem reference og target |
-| `lead_bucket` | string | Lead time kategori: 1-6, 7-12, 13-24, 25-48 |
-| `dmi_*_pred` | float | DMI forecast features (19 forskellige) |
-| `actual_temp` | float | Observeret temperatur |
-| `actual_wind_speed` | float | Observeret vindhastighed |
-| `actual_wind_gust` | float | Observeret vindstød |
-| `actual_precipitation` | float | Observeret nedbør |
-| `actual_humidity` | float | Observeret luftfugtighed |
-| `actual_pressure` | float | Observeret tryk |
-| `rain_event` | int | 1 hvis nedbør > 0.1mm, 0 ellers |
-| `rain_amount` | float | Samme som actual_precipitation |
-| `hour`, `month`, `day_of_year` | int | Temporale features |
-| `hour_sin`, `hour_cos` | float | Cyklisk time-encoding |
-| `month_sin`, `month_cos` | float | Cyklisk måned-encoding |
-| `forecast_wind_u`, `forecast_wind_v` | float | Vindkomponenter |
-| `dmi_*_pred_run_delta` | float | Ændring fra forrige forecast run |
-| `observation_context_timestamp` | datetime | Seneste observationstid kendt ved forecastets `reference_time` |
-| `obs_*` | float | Kausale lag/rolling-features bygget fra historiske observationer |
-| `temp_correction_target` | float | ML target: `actual - dmi_temp` |
-| `wind_speed_correction_target` | float | ML target: `actual - dmi_wind` |
-| `wind_gust_correction_target` | float | ML target: `actual - dmi_gust` |
-
-### Feature-note
-
-- Rå `actual_*` kolonner bevares som labels/debug-data.
-- Modeltræningen bruger forecastfeatures, run-deltas og `obs_*` kontekstfeatures.
-- `latitude` og `longitude` bevares i datasættet, men bruges ikke som model-features.
-
-## Datakilder
-
-- **Forecasts**: Open-Meteo DMI HARMONIE model (opdateres hver 3. time)
-- **Observationer**: Open-Meteo Archive API (faktisk vejr)
-- **Dækning**: Fra 2025-11-01 og frem
-
-## Lokation
-
-Aarhus, Danmark (56.1567°N, 10.2108°E)
-
-## Brug
-
-Dette dataset bruges af:
-- **dmi-ml-trainer**: Træner ML-modeller fra træningsdata
-- **dmi-collector**: Loader aktive modeller til predictions
-- **dmi-vs-ml-dashboard**: Loader data til visualisering og evaluering
-
-## Opdateringsfrekvens
-
-- **training_matrix.parquet**: Dagligt kl. 06:00 (dmi-collector)
-- **Model filer**: Hver søndag kl. 06:30 (dmi-ml-trainer)
+---
+license: cc-by-4.0
+tags:
+- weather
+- aarhus
+- denmark
+- forecast
+- observations
+- machine-learning
+---
+
+# DMI Aarhus Weather Data
+
+Training data and model artifact dataset for the Aarhus weather pipeline. Maintained by `Ciroc0`.
+
+## Primary files
+
+| File | Purpose | Produced by |
+| --- | --- | --- |
+| `training_matrix.parquet` | Current source of truth for training rows and causal observation context | `dmi-collector` |
+| `model_registry.json` | Active bucket registry per target | `dmi-ml-trainer` |
+| `model_meta.json` | Training timestamp, sample count and training window | `dmi-ml-trainer` |
+| `temperature_models.pkl` | Temperature bundle | `dmi-ml-trainer` |
+| `wind_speed_models.pkl` | Wind speed bundle | `dmi-ml-trainer` |
+| `wind_gust_models.pkl` | Wind gust bundle | `dmi-ml-trainer` |
+| `rain_event_models.pkl` | Rain event bundle | `dmi-ml-trainer` |
+| `rain_amount_models.pkl` | Rain amount bundle | `dmi-ml-trainer` |
+
+## Compatibility files
+
+| File | Status | Notes |
+| --- | --- | --- |
+| `data.parquet` | Legacy | Still readable by compatibility code |
+| `xgb_model.pkl` | Legacy | Older single-target artifact, not the current multi-target source of truth |
+
+## Schema highlights for `training_matrix.parquet`
+
+- `target_timestamp`
+- `reference_time`
+- `lead_time_hours`
+- `lead_bucket`
+- `dmi_*_pred`
+- `actual_*`
+- `forecast_wind_u`
+- `forecast_wind_v`
+- `dmi_*_pred_run_delta`
+- `observation_context_timestamp`
+- `obs_*`
+- `temp_correction_target`
+- `wind_speed_correction_target`
+- `wind_gust_correction_target`
+
+## Location
+
+- Aarhus, Denmark
+- `56.1567`, `10.2108`
+- timezone: `Europe/Copenhagen`
+
+## Attribution
+
+This dataset is released under `CC BY 4.0`.
+
+Please preserve attribution to:
+
+- `Ciroc0`
+- `Open-Meteo - https://open-meteo.com`
+- `DMI / DMI HARMONIE`
+
+## Note on data rights
+
+This dataset contains derived weather data and model artifacts built from upstream services. Attribution requirements from upstream providers still apply.