diff --git a/quacc/experiments/generators.py b/quacc/experiments/generators.py
index 17f550f..50e5cc9 100644
--- a/quacc/experiments/generators.py
+++ b/quacc/experiments/generators.py
@@ -12,10 +12,10 @@ from sklearn.linear_model import LogisticRegression
 
 from quacc.dataset import DatasetProvider as DP
 from quacc.error import macrof1_fn, vanilla_acc_fn
-from quacc.experiments.util import getpath
 from quacc.models.base import ClassifierAccuracyPrediction
 from quacc.models.baselines import ATC, DoC
 from quacc.models.cont_table import CAPContingencyTable, ContTableTransferCAP, NaiveCAP
+from quacc.utils.commons import get_results_path
 
 
 def gen_classifiers():
@@ -63,17 +63,20 @@ def gen_tweet_datasets(
 def gen_bin_datasets(
     only_names=False,
 ) -> [str, [LabelledCollection, LabelledCollection, LabelledCollection]]:
-    if only_names:
-        for dataset_name in ["imdb", "CCAT", "GCAT", "MCAT"]:
-            yield dataset_name, None
-    else:
-        yield "imdb", DP.imdb()
-        for rcv1_name in [
-            "CCAT",
-            "GCAT",
-            "MCAT",
-        ]:
-            yield rcv1_name, DP.rcv1(rcv1_name)
+    _IMDB = [
+        "imdb",
+    ]
+    _RCV1 = [
+        # "CCAT",
+        # "GCAT",
+        # "MCAT",
+    ]
+    for dn in _IMDB:
+        dval = None if only_names else DP.imdb()
+        yield dn, dval
+    for dn in _RCV1:
+        dval = None if only_names else DP.rcv1(dn)
+        yield dn, dval
 
 
 def gen_CAP(h, acc_fn, with_oracle=False) -> [str, ClassifierAccuracyPrediction]:
@@ -94,7 +97,7 @@ def gen_CAP(h, acc_fn, with_oracle=False) -> [str, ClassifierAccuracyPrediction]
 def gen_CAP_cont_table(h) -> [str, CAPContingencyTable]:
     acc_fn = None
     yield "Naive", NaiveCAP(h, acc_fn)
-    yield "CT-PPS-EMQ", ContTableTransferCAP(h, acc_fn, EMQ(LogisticRegression()))
+    # yield "CT-PPS-EMQ", ContTableTransferCAP(h, acc_fn, EMQ(LogisticRegression()))
     # yield 'CT-PPS-KDE', ContTableTransferCAP(h, acc_fn, KDEyML(LogisticRegression(class_weight='balanced'), bandwidth=0.01))
     # yield 'CT-PPS-KDE05', ContTableTransferCAP(h, acc_fn, KDEyML(LogisticRegression(class_weight='balanced'), bandwidth=0.05))
     # yield 'QuAcc(EMQ)nxn-noX', QuAccNxN(h, acc_fn, EMQ(LogisticRegression()), add_posteriors=True, add_X=False)
@@ -125,7 +128,7 @@ def gen_acc_measure():
 def any_missing(basedir, cls_name, dataset_name, method_name):
     for acc_name, _ in gen_acc_measure():
         if not os.path.exists(
-            getpath(basedir, cls_name, acc_name, dataset_name, method_name)
+            get_results_path(basedir, cls_name, acc_name, dataset_name, method_name)
         ):
             return True
     return False