diff --git a/data/dataset/label_noise_bleed.py b/data/dataset/label_noise_bleed.py
index 04d01e6..e3ae13e 100644
--- a/data/dataset/label_noise_bleed.py
+++ b/data/dataset/label_noise_bleed.py
@@ -3,6 +3,7 @@
 from data.dataset import BaseDataset
 import os
 from pathlib import Path
+import csv
 
 from aimless.utils import MDX_SOURCES as SOURCES
 
@@ -11,8 +12,8 @@
 
 # Run scripts/dataset_split_and_mix.py first!
 class LabelNoiseBleed(BaseDataset):
-    def __init__(self, root: str, split: str, **kwargs):
-        tracks, track_lengths = load_tracks(root, split)
+    def __init__(self, root: str, split: str, clean_csv_path: str = None, **kwargs):
+        tracks, track_lengths = load_tracks(root, split, clean_csv_path)
         super().__init__(
             **kwargs,
             tracks=tracks,
@@ -22,7 +23,7 @@ def __init__(self, root: str, split: str, **kwargs):
         )
 
 
-def load_tracks(root: str, split: str):
+def load_tracks(root: str, split: str, clean_csv_path: str):
     root = Path(os.path.expanduser(root))
     if split == "train":
         split_root = root / "train"
@@ -34,6 +35,12 @@ def load_tracks(root: str, split: str):
         raise ValueError("Invalid split: {}".format(split))
 
     tracks = sorted([x for x in split_root.iterdir() if x.is_dir()])
+    if clean_csv_path is not None:
+        with open(clean_csv_path, "r") as f:
+            reader = csv.reader(f)
+            clean_tracks = [x[0] for x in reader if x[1] == "Y"]
+        tracks = [x for x in tracks if x.name in clean_tracks]
+
     for x in tracks:
         assert torchaudio.info(str(x / "mixture.wav")).sample_rate == LabelNoiseBleed.sr
 
diff --git a/data/lightning/label_noise.csv b/data/lightning/label_noise.csv
new file mode 100644
index 0000000..d8465a1
--- /dev/null
+++ b/data/lightning/label_noise.csv
@@ -0,0 +1,204 @@
+ID,Clean,Notes
+0a589d65-50a3-4999-8f16-b5b6199bceee,,
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+05b0ab77-2495-438d-8831-e3d81f96c16d,Y,"Bass sometimes doesn't sound like ""bass"""
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+72c6f013-11ea-4bf7-93b2-c6ef2c117718,,
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+94fafb2a-9f4e-4a01-bee9-998008f95f41,,
+97b07e0e-274e-4212-a66b-44210a48724d,Y,Strange sfx in Vox @ 0:30
+125fc63d-9b69-4170-a46a-42c91bc28446,,
+152d4f5d-4093-4fa4-a4a4-8a9b3502d89d,,
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+0358fd1e-244a-4422-9a42-29b5d68f6e4b,Y,No Bass track
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+28748b6e-6125-42f7-998d-2ad734e39b6c,,
+49478a32-483f-48d2-a594-d272b44bf587,Y,
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+95378cf3-e939-42e0-b486-ebf2ca951664,,
+169628c5-266d-4e11-993b-440fa5fa2167,Y,
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+bdcc429e-ed95-40d3-a1af-bad268d66b25,,
+bdd109ec-d5dd-4d91-92ad-66b679518026,,
+c6d73235-1dd5-4085-a3b3-50a3466c6168,,
+c8f42ad5-5a2f-4398-b9d9-207fd4fcc551,Y,
+c15ade79-43c0-4271-9f00-a121cefc92e5,Y,
+c70471f9-9c4a-41c9-b8f8-20ac38847a8e,Y,
+c228818e-eabe-434b-9d60-2fb84a6c5b2a,,
+c2330200-ad8e-4848-8c2b-b70612f4b80e,Y,
+c8752696-4ae5-4e47-b2ad-622496966fa9,,
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+cda46831-26d1-4dd8-ac50-6004d27d45dd,,
+cff5bcde-6a15-4c5b-b529-e1c528c46335,Y,Some slight vocal bleed in other
+d4df499c-e394-4753-b459-e167e6a58bad,,
+d4fe2408-c123-4739-93bb-22f558ae99d7,,
+d7d28204-a8ac-4c2b-bb3c-c941f4a00b85,Y,
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+dfb0e076-cb6b-4dcc-9934-c60070ff04d7,,
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+e2e4ce50-cd0d-4144-809d-4cf8c8e4912e,,
+e3ab3975-033b-40e2-b538-09396b3d4244,Y,
+e4de8632-6f69-4c63-8081-f4c2b77b40df,Y,
+e37cdb09-e648-4e9b-bc06-d178a964161c,Y,
+e62afdcd-0c96-4bee-80c7-1c17b897a6d7,,
+e78fa5de-cfdd-44fa-87c1-10a337b7011f,,
+e9336d31-c0df-4c91-be2b-7c4420c9cd34,Y,
+e1108928-9776-434c-bc57-c32dfdb7839c,,
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+ebea0f1d-8e23-469e-8eed-5269a9c684f0,,
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+f0c565c5-fc73-4da1-b979-0fac0167f671,,
+f4b735de-14b1-4091-a9ba-c8b30c0740a7,Y,
+f9e58f4d-e361-4598-9c9a-d0a83529cc68,Y,
+f40ffd10-4e8b-41e6-bd8a-971929ca9138,,
+f76e2c13-9a9a-4cac-b6dd-45b5111aac6d,Y,
+fa46f72c-696d-45bc-bcc5-2b3305800565,,
+faad432d-6ad0-492d-96f1-321eeb9685b5,,
+fac94d9a-59da-4f83-9027-3eafe082ad16,Y,
+fcd1937f-2b21-4a78-889a-7b7e63e0ebdd,,
+fd6e4b4a-f33a-4f3c-aa6e-7c65fd5dc0bc,,
+fe3ae408-d35f-4c17-aa33-402238725a9d,Y,
+ff486935-7ce2-4e23-8908-0ff5fcc50856,Y,
\ No newline at end of file
diff --git a/data/lightning/label_noise.py b/data/lightning/label_noise.py
index e6035bc..c44cae9 100644
--- a/data/lightning/label_noise.py
+++ b/data/lightning/label_noise.py
@@ -2,7 +2,7 @@
 from torch.utils.data import DataLoader
 import pytorch_lightning as pl
 from typing import List
-
+import os
 
 from data.dataset import LabelNoiseBleed
 from data.augment import CPUBase
@@ -35,6 +35,10 @@ def __init__(
             self.transforms = Compose(transforms)
 
     def setup(self, stage=None):
+        label_noise_path = None
+        current_dir = os.path.dirname(os.path.realpath(__file__))
+        if "label_noise.csv" in os.listdir(current_dir):
+            label_noise_path = os.path.join(current_dir, "label_noise.csv")
         if stage == "fit":
             self.train_dataset = LabelNoiseBleed(
                 root=self.hparams.root,
@@ -44,6 +48,7 @@ def setup(self, stage=None):
                 random=self.hparams.random,
                 random_track_mix=self.hparams.random_track_mix,
                 transform=self.transforms,
+                clean_csv_path=label_noise_path,
             )
 
         if stage == "validate" or stage == "fit":
@@ -51,6 +56,7 @@ def setup(self, stage=None):
                 root=self.hparams.root,
                 split="valid",
                 seq_duration=self.hparams.seq_duration,
+                clean_csv_path=label_noise_path,
             )
 
     def train_dataloader(self):