Datasets:

thbndi
/

Mimic4Dataset

Tags:

medical

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thbndi commited on Jun 15, 2023

Commit

a7d7c87

1 Parent(s): b7f1d29

Update Mimic4Dataset.py

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Files changed (1) hide show

Mimic4Dataset.py +9 -9

Mimic4Dataset.py CHANGED Viewed

@@ -80,19 +80,19 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
                         {
                             "signal": datasets.Sequence(
                                 {
-                                    "key": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             ),
                             "rate": datasets.Sequence(
                                 {
-                                    "key": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             ),
                             "amount": datasets.Sequence(
                                 {
-                                    "key": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             )
@@ -100,7 +100,7 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
                     ),
                 "PROC":  datasets.Sequence(
                                 {
-                                    "key": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             ),
@@ -108,20 +108,20 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
                     {
                         "signal" : datasets.Sequence(
                                 {
-                                    "key": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             ),
                         "val" : datasets.Sequence(
                                 {
-                                    "key": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             ),
                     }),
                 "OUT":  datasets.Sequence(
                                 {
-                                    "key": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             ),
@@ -163,8 +163,8 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
                 "ethnicity" : eth,
                 "age" : age,
                 "MEDS" : {
-                    "signal" : {"key" : list(meds_features['signal'].keys())
-                                ,"value" : list(meds_features['signal'].values())},
                     "rate" : None,
                     "amount" : None
                 },

                         {
                             "signal": datasets.Sequence(
                                 {
+                                    "id": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             ),
                             "rate": datasets.Sequence(
                                 {
+                                    "id": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             ),
                             "amount": datasets.Sequence(
                                 {
+                                    "id": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             )
                     ),
                 "PROC":  datasets.Sequence(
                                 {
+                                    "id": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             ),
                     {
                         "signal" : datasets.Sequence(
                                 {
+                                    "id": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             ),
                         "val" : datasets.Sequence(
                                 {
+                                    "id": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             ),
                     }),
                 "OUT":  datasets.Sequence(
                                 {
+                                    "id": datasets.Value("int32"),
                                     "value": datasets.Sequence(datasets.Value("float32"))
                                 }
                             ),
                 "ethnicity" : eth,
                 "age" : age,
                 "MEDS" : {
+                    "signal" : {"id" : list(meds_features['signal'].keys())
+                                ,"value" : None},
                     "rate" : None,
                     "amount" : None
                 },