Fix issues in preparing the MJFF-LR dataset (#25)

* Save time index column as time

* Add ldopa config file

conf/data/ldopa_10s.yaml

@@ -0,0 +1,13 @@
+data_root: /data/ldopa/prepared
+X_path: "${data.data_root}/X.npy"
+Y_path:  "${data.data_root}/Y.npy"
+PID_path:  "${data.data_root}/pid.npy"
+sample_rate: 30
+task_type: 'classify'
+output_size: 12
+batch_size: 1000
+held_one_subject_out: false
+weighted_loss_fn: true
+dataset_name: 'ldopa'
+subject_count: -1
+ratio2keep: 1

data_parsing/ldopa.py

@@ -213,7 +213,7 @@ def build_participant_acc_data(subject, datadir, outdir):
         ]
         subjectFile = pd.concat(dataFiles).dropna().drop_duplicates()
         subjectFile = subjectFile / constants.g
-        subjectFile.index.name = "timestamp"
+        subjectFile.index.name = "time"
         subjectFile.rename(
             columns={
                 "GENEActiv_X": "x",
@@ -400,7 +400,7 @@ def download_ldopa(
 
 
 def load_data(
-    datafile, sample_rate=100, index_col="timestamp", annot_type="int"
+    datafile, sample_rate=100, index_col="time", annot_type="int"
 ):
     if ".parquet" in datafile:
         data = pd.read_parquet(datafile)