Add 'complex_univariate' config data files

README.md

@@ -40,19 +40,7 @@ configs:
 - config_name: complex_univariate
   data_files:
   - split: train
-    path:
-    - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Network-Traffic_raw_length5000.csv
-    - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Economic-Indicator_raw_length5000.csv
-    - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Temperature-Sensor_raw_length5000.csv
-    - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Website-Traffic_raw_length5000.csv
-    - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Industrial-Sensor_raw_length5000.csv
-    - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Industrial-Sensor-Normal_raw_length5000.csv
-    - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Electricity-Consumption_raw_length5000.csv
-    - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Stock-Price_raw_length5000.csv
-    - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_IoT-Sensor-Battery_raw_length5000.csv
-    - SynTS_Dataset/Dataset_generated_complex_univariate/dataset1_Retail-Sales_raw_length5000.csv
-  description: 'Synthetic time series data from Dataset_generated_complex_univariate
-    with columns: Feature1, date'
+    path: complex_univariate/train-*
 - config_name: cross_variable_learning_struct0
   data_files:
   - split: train
@@ -455,6 +443,18 @@ dataset_info:
     num_examples: 5000
   download_size: 145033
   dataset_size: 190000
+- config_name: complex_univariate
+  features:
+  - name: date
+    dtype: int64
+  - name: Feature1
+    dtype: float64
+  splits:
+  - name: train
+    num_bytes: 800000
+    num_examples: 50000
+  download_size: 747380
+  dataset_size: 800000
 ---
 
 # SynTSBench: A Synthetic Time Series Benchmark

complex_univariate/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5edf14f65ae64da70d1fdfcd830f15a4752794ac11063ec75ea0e670313ad311
+size 747380