change download

example/download_dataset.py

@@ -1,12 +1,29 @@
 from datasets import load_dataset
 import pandas as pd
 
+### Measurements by cell ###
 measurements_by_cell = load_dataset('CelfAI/COOPER','measurements_by_cell')
 
-all_data = pd.DataFrame()
-for each_cell in measurements_by_cell:
-    temp_data = measurements_by_cell[each_cell].to_pandas()
-    temp_data['cell_ID'] = each_cell
-    all_data = pd.concat([all_data, temp_data])
+measurements_by_cell_data_train = measurements_by_cell['train'].to_pandas()
+measurements_by_cell_data_test = measurements_by_cell['test'].to_pandas()
+measurements_by_cell_data = pd.concat([measurements_by_cell_data_train, measurements_by_cell_data_test])
+
+### Topology ###
+topology = load_dataset('CelfAI/COOPER','topology')
+topology_data = topology['main'].to_pandas()
+
+
+#### Join Measurements by cell and Topology ###
+all_data = pd.merge(measurements_by_cell_data, topology_data, on='LocalCellName', how='left')
+
+
+### Performance indicators meanings ###
+performance_indicators_meanings = load_dataset('CelfAI/COOPER','performance_indicators_meanings')
+performance_indicators_meanings_data = performance_indicators_meanings['main'].to_pandas()
+
+
+
+
+
     
 

metadata/performance_indicators_meanings.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:69a73e544f5e98cccdd02c17ee10b683c38a4f9d6e0f4188d911652547de88a4
-size 11213
+oid sha256:f2d69f313e223e675516f12b38072e3295c6d5fe82a821a8010897abd5c83869
+size 18720