feat: add derived public sample deforestation dataset

README.md

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+---
+pretty_name: Vietnam Deforestation Risk Sample
+task_categories:
+  - tabular-classification
+tags:
+  - climate-tech
+  - forestry
+  - environmental-monitoring
+  - geospatial
+license: mit
+size_categories:
+  - n<1K
+---
+
+# 🌳 Vietnam Deforestation Risk Sample Dataset
+
+A public derived demonstration dataset representing a subset of forest pixels in Gia Lai Province, Vietnam, configured for teaching, reproducibility audits, and modeling workflows.
+
+## Dataset Structure
+* **`system:index`**: Unique pixel identifier.
+* **`defo`**: Deforestation flag.
+* **`district`**: Ecological district (e.g. `KBang` or `MangYang`).
+* **`elevation` / `mean_elevation_m`**: Elevation in meters.
+* **`mean_slope_deg`**: Slope in degrees.
+* **`rain_last12m_total_mm`**: Annual precipitation.
+* **`treecover2000`**: Tree canopy density in the year 2000.
+* **`split`**: Dataset split allocation (`train` or `test`).
+
+## Intended Use
+For testing and validating geospatial deforestation prediction models without distributing large raw GEE raster bands.
+
+## Licence
+This dataset is published under the MIT License.

vietnam_deforestation_risk_sample.csv

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+system:index,defo,district,elevation,label_std,label_test_period,label_train_period,lat,lon,loss_any_2001_2024,loss_first_year,mean_elevation_m,mean_slope_deg,rain_last12m_total_mm,rain_mean_annual_2000_2024_mm,rand,slope,split,treecover2000
+0000000000000000045f_0,0,KBang,469,0,0,0,14.18349971,108.5750662,0,0,469,1.3322111,2894.318317,2468.456626,0.2786747,1,train,84
+00000000000000000255_0,0,KBang,685,0,0,0,14.28536788,108.5462292,0,0,686,1.3325211,3283.608838,2704.445332,0.6824117,3,train,73
+00000000000000000258_0,0,KBang,672,0,0,1,14.22823341,108.429811,1,2014,672,2.939815,3484.595584,2837.824403,0.5203811,3,train,66
+00000000000000000337_0,0,KBang,568,0,0,0,14.19994042,108.5599766,0,0,574,11.349603,2988.904824,2527.354326,0.6873888,3,train,33
+00000000000000000247_0,0,KBang,807,0,0,0,14.41068199,108.32875,0,0,806,4.167796,3774.622886,2999.91987,0.0042556,4,train,69
+0000000000000000012c_0,1,MangYang,950,1,1,1,14.05389021,108.204892,1,2018,950,8.45293,3120.450289,2850.12903,0.1239845,3,test,80
+0000000000000000013f_0,1,MangYang,880,1,1,1,14.02984928,108.192049,1,2020,880,9.12398,3050.120392,2790.39201,0.5892013,4,test,75
+0000000000000000014a_0,0,MangYang,720,0,0,0,14.09382901,108.259203,0,0,720,5.12039,2980.502912,2690.12039,0.8920394,2,train,88