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README.md

@@ -8,14 +8,14 @@ configs:
   data_files:
   - split: full_patient_state
     path: full_patient_state/*.parquet
-- config_name: part1_test
-  data_files:
-  - split: part1_test
-    path: part1_test/part1_test-*
 - config_name: part1_train
   data_files:
   - split: part1_train
     path: part1_train/*.parquet
+- config_name: part1_test
+  data_files:
+  - split: part1_test
+    path: part1_test/*.parquet
 dataset_info:
 - config_name: full_patient_state
   features:
@@ -3243,3 +3243,9 @@ Full patient state dataframe for offline RL training, derived from MIMIC-IV ED d
 Preprocessed classification and time-series escalation datasets derived from full_patient_state. Part 1: one row per ED stay, triage-time features only (no leakage), 4-class cohort label target plus 2-class rare holdout. Part 2: hourly timestep rows (resampled from 30-min), binary escalation_needed label, filtered to stays <= 48 hours, cumulative vital aggregation features.
 
 **License:** PhysioNet Credentialed Health Data License 1.5.0 — https://physionet.org/content/mimiciv/view-license/3.1/
+
+## part1_test
+
+Preprocessed classification and time-series escalation datasets derived from full_patient_state. Part 1: one row per ED stay, triage-time features only (no leakage), 4-class cohort label target plus 2-class rare holdout. Part 2: hourly timestep rows (resampled from 30-min), binary escalation_needed label, filtered to stays <= 48 hours, cumulative vital aggregation features.
+
+**License:** PhysioNet Credentialed Health Data License 1.5.0 — https://physionet.org/content/mimiciv/view-license/3.1/