diff --git a/torchmdnet/datasets/__init__.py b/torchmdnet/datasets/__init__.py
index 92a70bd24..42dc7cf3f 100644
--- a/torchmdnet/datasets/__init__.py
+++ b/torchmdnet/datasets/__init__.py
@@ -2,7 +2,7 @@
 # Distributed under the MIT License.
 # (See accompanying file README.md file or copy at http://opensource.org/licenses/MIT)
 
-from .ace import Ace
+from .ace import Ace, AceHF
 from .ani import ANI1, ANI1CCX, ANI1X, ANI2X
 from .comp6 import (
     ANIMD,
@@ -28,6 +28,7 @@
 
 __all__ = [
     "Ace",
+    "AceHF",
     "ANIMD",
     "ANI1",
     "ANI1CCX",
diff --git a/torchmdnet/datasets/ace.py b/torchmdnet/datasets/ace.py
index ebb7da0b3..a5079c89f 100644
--- a/torchmdnet/datasets/ace.py
+++ b/torchmdnet/datasets/ace.py
@@ -7,7 +7,7 @@
 import os
 import torch as pt
 from torchmdnet.datasets.memdataset import MemmappedDataset
-from torch_geometric.data import Data
+from torch_geometric.data import Data, Dataset
 from tqdm import tqdm
 
 
@@ -291,3 +291,102 @@ def sample_iter(self, mol_ids=False):
                         data = self.pre_transform(data)
 
                     yield data
+
+
+def download_gitea_dataset(path, tmpdir):
+    try:
+        from git import Repo
+    except ImportError:
+        raise ImportError(
+            "Could not import GitPython library. Please install it first with `pip install GitPython`"
+        )
+
+    assert path.startswith("ssh://")
+
+    # Parse the gitea URL
+    pieces = path.split("/")
+    repo_url = "/".join(pieces[:5])
+    user = pieces[3]
+    repo_name = pieces[4]
+    file_name = pieces[-1]
+    branch = "main"
+    commit = None
+    if "branch" in pieces:
+        branch = pieces[pieces.index("branch") + 1]
+    if "commit" in pieces:
+        commit = pieces[pieces.index("commit") + 1]
+
+    outdir = os.path.join(tmpdir, f"{user}_{repo_name}")
+    if not os.path.exists(outdir):
+        repo = Repo.clone_from(repo_url, outdir, no_checkout=True)
+    else:
+        repo = Repo(outdir)
+
+    origin = repo.remotes.origin
+    origin.pull()
+    if commit is not None:
+        repo.git.checkout(commit)
+    else:
+        repo.git.checkout(branch)
+
+    return os.path.join(outdir, file_name)
+
+
+class AceHF(Dataset):
+    def __init__(
+        self, root="parquet", paths=None, split="train", max_gradient=None
+    ) -> None:
+        from datasets import load_dataset
+        import numpy as np
+
+        # Handle gitea parquet datasets
+        newpaths = paths.copy()
+        for i, path in enumerate(paths):
+            if "gitea" in path:
+                newpaths[i] = download_gitea_dataset(path, "/tmp")
+
+        self.dataset = load_dataset(root, data_files=newpaths, split=split)
+        if max_gradient is not None:
+
+            def _filter(x):
+                if np.isnan(x["forces"]).any() or np.isnan(x["formation_energy"]).any():
+                    return False
+                return np.max(np.linalg.norm(x["forces"], axis=1)) < max_gradient
+
+            self.dataset = self.dataset.filter(
+                _filter, desc="Filtering", num_proc=os.cpu_count() // 2
+            )
+        self.dataset = self.dataset.with_format("torch")
+
+    def __len__(self):
+        return self.dataset.num_rows
+
+    def __getitem__(self, idx):
+        """Gets the data object at index :obj:`idx`.
+
+        The data object contains the following attributes:
+
+            - :obj:`z`: Atomic numbers of the atoms.
+            - :obj:`pos`: Positions of the atoms.
+            - :obj:`y`: Formation energy of the molecule.
+            - :obj:`neg_dy`: Forces on the atoms.
+            - :obj:`q`: Total charge of the molecule.
+            - :obj:`pq`: Partial charges of the atoms.
+            - :obj:`dp`: Dipole moment of the molecule.
+
+        Args:
+            idx (int): Index of the data object.
+
+        Returns:
+            :obj:`torch_geometric.data.Data`: The data object.
+        """
+        data = self.dataset[int(idx)]
+        return Data(
+            z=data["atomic_numbers"],
+            pos=data["positions"],
+            y=data["formation_energy"].view(1, 1),
+            neg_dy=data["forces"],
+            q=sum(data["formal_charges"]),
+            pq=data["partial_charges"],
+            dp=data["dipole_moment"],
+        )