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README.md

@@ -1,8 +1,9 @@
 ---
 license: apache-2.0
 task_categories:
-  - time-series-classification
+  - time-series-forecasting
   - feature-extraction
+  - tabular-classification
 language:
   - fr
 tags:
@@ -22,6 +23,13 @@ size_categories:
 Daily groundwater level time series from ~4200 French monitoring stations,
 with ERA5 climate covariates and hydrogeological labels.
 
+## Notebooks
+
+| Notebook | Description |
+|----------|-------------|
+| [01_data_exploration.ipynb](notebooks/01_data_exploration.ipynb) | Dataset overview, label distributions, geographic maps, time series examples |
+| [02_benchmark_analysis.ipynb](notebooks/02_benchmark_analysis.ipynb) | Encoder comparison, whitening effect, uni vs multi, ranking |
+
 ## Dataset Description
 
 This dataset supports the comparative evaluation of time series embedding
@@ -33,6 +41,14 @@ methods for piezometric groundwater stations. It contains:
 - **Multivariate daily series** (2000 stations, ~10.6M rows): groundwater level +
   3 ERA5 covariates (temperature_2m, total_precipitation, potential_evaporation)
 
+## Files
+
+| File | Rows | Size | Description |
+|------|------|------|-------------|
+| data/station_metadata.parquet | 4,210 | 258 KB | Station coordinates, labels, properties |
+| data/piezo_daily_uni.parquet | 10.6M | 38 MB | Univariate daily groundwater level |
+| data/piezo_daily_multi.parquet | 10.6M | 119 MB | Multivariate (level + 3 ERA5 covariates) |
+
 ## Source
 
 - Groundwater data: [BRGM HubEau API](https://hubeau.eaufrance.fr/page/api-piezometrie)