Upload dataset

README.md

@@ -2621,6 +2621,42 @@ dataset_info:
     num_examples: 126
   download_size: 21238
   dataset_size: 40749
+- config_name: nimapourmoradi__forest-fire-regression
+  features:
+  - name: X
+    dtype: int64
+  - name: Y
+    dtype: int64
+  - name: month
+    dtype: string
+  - name: day
+    dtype: string
+  - name: FFMC
+    dtype: float64
+  - name: DMC
+    dtype: float64
+  - name: DC
+    dtype: float64
+  - name: ISI
+    dtype: float64
+  - name: temp
+    dtype: float64
+  - name: RH
+    dtype: int64
+  - name: wind
+    dtype: float64
+  - name: rain
+    dtype: float64
+  - name: __FeatEng_target__
+    dtype: float64
+  - name: __index_level_0__
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 32450
+    num_examples: 295
+  download_size: 15511
+  dataset_size: 32450
 - config_name: olcaybolat1__dermatology-dataset-classification
   features:
   - name: erythema
@@ -4482,6 +4518,10 @@ configs:
     path: mysarahmadbhat__lung-cancer/train-*
   - split: test
     path: mysarahmadbhat__lung-cancer/test-*
+- config_name: nimapourmoradi__forest-fire-regression
+  data_files:
+  - split: train
+    path: nimapourmoradi__forest-fire-regression/train-*
 - config_name: olcaybolat1__dermatology-dataset-classification
   data_files:
   - split: train

nimapourmoradi__forest-fire-regression/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9952b6e314c53f3f4f419365ecefa012bc9d28b5d1d084174193a1928515cabd
+size 15511