diff --git a/datasets/daphnet.py b/datasets/daphnet.py
index e2d42bc..1ca6c48 100644
--- a/datasets/daphnet.py
+++ b/datasets/daphnet.py
@@ -1,11 +1,11 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 import matplotlib.pyplot as plt
 
-PATH = config.get_data_path("DAPHNET")
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, record_ids=None, verbose=False, number=-1):
@@ -104,6 +104,8 @@ def load_data(db_path, record_ids=None, verbose=False, number=-1):
 class Dataset(BaseDataset):
     name = "DAPHNET"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         # "recordings_id": [["S01R02E0"]],
         "recordings_id": [None],  # [["S01R02E0"]],
@@ -118,11 +120,13 @@ class Dataset(BaseDataset):
     def get_data(self):
         """Load the DAPHNET dataset."""
 
+        path = fetch_tsb_uad("DAPHNET")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
         if self.recordings_id in (["all"], "all"):
             self.recordings_id = None
-        X, y_true = load_data(PATH, self.recordings_id, number=self.number)
+        X, y_true = load_data(path, self.recordings_id, number=self.number)
 
         X_test = X.copy()
         y_test = y_true.copy()
diff --git a/datasets/ecg.py b/datasets/ecg.py
index 81f1986..4db6e3b 100644
--- a/datasets/ecg.py
+++ b/datasets/ecg.py
@@ -1,10 +1,10 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 
-PATH = config.get_data_path("ECG")
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, record_ids=None, verbose=False, number=-1):
@@ -95,6 +95,8 @@ def load_data(db_path, record_ids=None, verbose=False, number=-1):
 class Dataset(BaseDataset):
     name = "ECG"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         "recordings_id": [["1", "2"]],
         "debug": [False],
@@ -103,11 +105,13 @@ class Dataset(BaseDataset):
 
     def get_data(self):
         """Load the MITDB dataset."""
+        path = fetch_tsb_uad("ECG")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
         if self.recordings_id in (["all"], "all"):
             self.recordings_id = None
-        X, y_true = load_data(PATH, self.recordings_id, number=self.number)
+        X, y_true = load_data(path, self.recordings_id, number=self.number)
 
         X_test = X.copy()
         y_test = y_true.copy()
diff --git a/datasets/genesis.py b/datasets/genesis.py
index 8425d89..f6b62b1 100644
--- a/datasets/genesis.py
+++ b/datasets/genesis.py
@@ -1,10 +1,10 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 
-PATH = config.get_data_path("GENESIS")
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, record_ids=None, verbose=False):
@@ -91,6 +91,8 @@ def load_data(db_path, record_ids=None, verbose=False):
 class Dataset(BaseDataset):
     name = "GENESIS"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         "recordings_id": [["1", "2"]],
         "debug": [False],
@@ -99,9 +101,11 @@ class Dataset(BaseDataset):
     def get_data(self):
         """Load the GENESIS dataset."""
 
+        path = fetch_tsb_uad("GENESIS")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
-        X, y_true = load_data(PATH, self.recordings_id)
+        X, y_true = load_data(path, self.recordings_id)
 
         X_test = X.copy()
         y_test = y_true.copy()
diff --git a/datasets/ghl.py b/datasets/ghl.py
index dd102dd..2e29fe8 100644
--- a/datasets/ghl.py
+++ b/datasets/ghl.py
@@ -1,10 +1,10 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 
-PATH = config.get_data_path("GHL")
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, record_ids=None, verbose=False):
@@ -95,6 +95,8 @@ def load_data(db_path, record_ids=None, verbose=False):
 class Dataset(BaseDataset):
     name = "GHL"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         "recordings_id": [["1", "2"]],
         "debug": [False],
@@ -103,9 +105,11 @@ class Dataset(BaseDataset):
     def get_data(self):
         """Load the GHL dataset."""
 
+        path = fetch_tsb_uad("GHL")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
-        X, y_true = load_data(PATH, self.recordings_id)
+        X, y_true = load_data(path, self.recordings_id)
 
         X_test = X.copy()
         y_test = y_true.copy()
diff --git a/datasets/iops.py b/datasets/iops.py
index 12df7ef..d6909ba 100644
--- a/datasets/iops.py
+++ b/datasets/iops.py
@@ -1,11 +1,10 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 
-PATH = config.get_data_path("IOPS")
-PATH = "/data/parietal/store2/data/tsb-uad/TSB-UAD-Public/IOPS/"
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, verbose=False):
@@ -110,6 +109,8 @@ def load_data(db_path, verbose=False):
 class Dataset(BaseDataset):
     name = "IOPS"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         "debug": [False],
     }
@@ -117,9 +118,11 @@ class Dataset(BaseDataset):
     def get_data(self):
         """Load the IOPS dataset."""
 
+        path = fetch_tsb_uad("IOPS")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
-        X_train, X_test, y_test = load_data(PATH)
+        X_train, X_test, y_test = load_data(path)
 
         if self.debug:
             X_train = X_train[:, :1000]
diff --git a/datasets/kdd21.py b/datasets/kdd21.py
index 3d0da0b..1ed8581 100644
--- a/datasets/kdd21.py
+++ b/datasets/kdd21.py
@@ -1,10 +1,10 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 
-PATH = config.get_data_path("KDD21")
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, record_ids=None, verbose=False):
@@ -89,6 +89,8 @@ def load_data(db_path, record_ids=None, verbose=False):
 class Dataset(BaseDataset):
     name = "KDD21"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         "recordings_id": [["1", "2"]],
         "debug": [False],
@@ -97,9 +99,11 @@ class Dataset(BaseDataset):
     def get_data(self):
         """Load the KDD21 dataset."""
 
+        path = fetch_tsb_uad("KDD21")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
-        X, y_true = load_data(PATH, self.recordings_id)
+        X, y_true = load_data(path, self.recordings_id)
 
         X_test = X.copy()
         y_test = y_true.copy()
diff --git a/datasets/mgab.py b/datasets/mgab.py
index ac00972..f01978b 100644
--- a/datasets/mgab.py
+++ b/datasets/mgab.py
@@ -1,10 +1,10 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 
-PATH = config.get_data_path("MGAB")
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, record_ids=None, verbose=False):
@@ -86,6 +86,8 @@ def load_data(db_path, record_ids=None, verbose=False):
 class Dataset(BaseDataset):
     name = "MGAB"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         "recordings_id": [["1", "2"]],
         "debug": [False],
@@ -94,9 +96,11 @@ class Dataset(BaseDataset):
     def get_data(self):
         """Load the MITDB dataset."""
 
+        path = fetch_tsb_uad("MGAB")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
-        X, y_true = load_data(PATH, self.recordings_id)
+        X, y_true = load_data(path, self.recordings_id)
         n_recordings, _ = X.shape
 
         X_test = X.copy()
diff --git a/datasets/occupancy.py b/datasets/occupancy.py
index cddb6e5..3a466af 100644
--- a/datasets/occupancy.py
+++ b/datasets/occupancy.py
@@ -1,10 +1,10 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 
-PATH = config.get_data_path("OCCUPANCY")
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, record_ids=None, verbose=False):
@@ -111,6 +111,8 @@ def load_data(db_path, record_ids=None, verbose=False):
 class Dataset(BaseDataset):
     name = "OCCUPANCY"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         "recordings_id": [None],
         "debug": [False],
@@ -119,9 +121,11 @@ class Dataset(BaseDataset):
     def get_data(self):
         """Load the OCCUPANCY dataset."""
 
+        path = fetch_tsb_uad("OCCUPANCY")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
-        X_train, X_test, y_test = load_data(PATH, self.recordings_id)
+        X_train, X_test, y_test = load_data(path, self.recordings_id)
 
         if self.debug:
             X_train = X_train[:, :1000]
diff --git a/datasets/opportunity.py b/datasets/opportunity.py
index 3968a2b..e8e0e62 100644
--- a/datasets/opportunity.py
+++ b/datasets/opportunity.py
@@ -1,10 +1,10 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 
-PATH = config.get_data_path("OPPORTUNITY")
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, record_ids=None, verbose=False):
@@ -91,6 +91,8 @@ def load_data(db_path, record_ids=None, verbose=False):
 class Dataset(BaseDataset):
     name = "OPPORTUNITY"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         "recordings_id": [["1", "2"]],
         "debug": [False],
@@ -99,9 +101,11 @@ class Dataset(BaseDataset):
     def get_data(self):
         """Load the OPPORTUNITY dataset."""
 
+        path = fetch_tsb_uad("OPPORTUNITY")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
-        X, y_true = load_data(PATH, self.recordings_id)
+        X, y_true = load_data(path, self.recordings_id)
 
         X_test = X.copy()
         y_test = y_true.copy()
diff --git a/datasets/sensorscope.py b/datasets/sensorscope.py
index 7bcdb9a..4ea5fdb 100644
--- a/datasets/sensorscope.py
+++ b/datasets/sensorscope.py
@@ -1,10 +1,10 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 
-PATH = config.get_data_path("SENSORSCOPE")
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, record_ids=None, verbose=False):
@@ -90,6 +90,8 @@ def load_data(db_path, record_ids=None, verbose=False):
 class Dataset(BaseDataset):
     name = "SENSORSCOPE"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         "recordings_id": [["10", "11"]],
         "debug": [False],
@@ -98,9 +100,11 @@ class Dataset(BaseDataset):
     def get_data(self):
         """Load the SENSORSCOPE dataset."""
 
+        path = fetch_tsb_uad("SENSORSCOPE")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
-        X, y_true = load_data(PATH, self.recordings_id)
+        X, y_true = load_data(path, self.recordings_id)
 
         X_test = X.copy()
         y_test = y_true.copy()
diff --git a/datasets/smd.py b/datasets/smd.py
index d258391..25d6a0e 100644
--- a/datasets/smd.py
+++ b/datasets/smd.py
@@ -1,10 +1,10 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 
-PATH = config.get_data_path("SMD")
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, record_ids=None):
@@ -94,6 +94,8 @@ def load_data(db_path, record_ids=None):
 class Dataset(BaseDataset):
     name = "SMD"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         "recordings_id": [["1", "2"]],
         "debug": [False],
@@ -102,9 +104,11 @@ class Dataset(BaseDataset):
     def get_data(self):
         """Load the SMD dataset."""
 
+        path = fetch_tsb_uad("SMD")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
-        X, y_true = load_data(PATH, self.recordings_id)
+        X, y_true = load_data(path, self.recordings_id)
 
         X_test = X.copy()
         y_test = y_true.copy()
diff --git a/datasets/svdb.py b/datasets/svdb.py
index ea127c6..9abdd0a 100644
--- a/datasets/svdb.py
+++ b/datasets/svdb.py
@@ -1,11 +1,11 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 import matplotlib.pyplot as plt
 
-PATH = config.get_data_path("SVDB")
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, record_ids=None, verbose=False, number=-1):
@@ -102,6 +102,8 @@ def load_data(db_path, record_ids=None, verbose=False, number=-1):
 class Dataset(BaseDataset):
     name = "SVDB"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         "recordings_id": [["801"]],
         "number": [-1],
@@ -111,11 +113,13 @@ class Dataset(BaseDataset):
     def get_data(self):
         """Load the SVDB dataset."""
 
+        path = fetch_tsb_uad("SVDB")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
         if self.recordings_id in (["all"], "all"):
             self.recordings_id = None
-        X, y_true = load_data(PATH, self.recordings_id, number=self.number)
+        X, y_true = load_data(path, self.recordings_id, number=self.number)
 
         X_test = X.copy()
         y_test = y_true.copy()
diff --git a/datasets/yahoo.py b/datasets/yahoo.py
index 181ef0e..bbdee90 100644
--- a/datasets/yahoo.py
+++ b/datasets/yahoo.py
@@ -1,10 +1,10 @@
-from benchopt import BaseDataset, config
+from benchopt import BaseDataset
 
 from pathlib import Path
 import numpy as np
 import pandas as pd
 
-PATH = config.get_data_path("YAHOO")
+from benchmark_utils.download import fetch_tsb_uad
 
 
 def load_data(db_path, record_ids=None, verbose=False):
@@ -105,6 +105,8 @@ def load_data(db_path, record_ids=None, verbose=False):
 class Dataset(BaseDataset):
     name = "YAHOO"
 
+    requirements = ["pip:pooch"]
+
     parameters = {
         "recordings_id": [["1"]],
         "debug": [False],
@@ -113,9 +115,11 @@ class Dataset(BaseDataset):
     def get_data(self):
         """Load the YAHOO dataset."""
 
+        path = fetch_tsb_uad("YAHOO")
+
         # X shape (n_recordings, n_samples)
         # y shape (n_recordings, n_samples)
-        X, y_true = load_data(PATH, self.recordings_id)
+        X, y_true = load_data(path, self.recordings_id)
 
         X_test = X.copy()
         y_test = y_true.copy()