diff --git a/benchmarks/dl/maml.py b/benchmarks/dl/maml.py
index c1f824b8..6bfc701e 100644
--- a/benchmarks/dl/maml.py
+++ b/benchmarks/dl/maml.py
@@ -393,7 +393,7 @@ def _make_tasks(
                 if task.k >= min_task_k:
                     label_to_task[task.id] = task
 
-                for label in labels.classes_in_bbox(country_bbox):
+                for label in labels.classes_in_bbox(country_bbox, True):
                     if country in test_countries_to_crops:
                         if label in test_countries_to_crops[country]:
                             continue
diff --git a/cropharvest/columns.py b/cropharvest/columns.py
index a04b2820..3690788f 100644
--- a/cropharvest/columns.py
+++ b/cropharvest/columns.py
@@ -27,6 +27,7 @@ class RequiredColumns(Columns):
     EXPORT_END_DATE = "export_end_date"
     GEOMETRY = "geometry"
     IS_TEST = "is_test"
+    EXTERNALLY_CONTRIBUTED_DATASET = "externally_contributed_dataset"
 
     @classmethod
     def date_columns(cls) -> List[str]:
diff --git a/cropharvest/config.py b/cropharvest/config.py
index 574b244e..ce0e8c32 100644
--- a/cropharvest/config.py
+++ b/cropharvest/config.py
@@ -16,7 +16,7 @@
 EXPORT_END_MONTH = 2
 EXPORT_END_DAY = 1
 
-DATASET_VERSION_ID = 6855066
+DATASET_VERSION_ID = 6985649
 DATASET_URL = f"https://zenodo.org/record/{DATASET_VERSION_ID}"
 LABELS_FILENAME = "labels.geojson"
 FEATURES_DIR = "features"
diff --git a/cropharvest/datasets.py b/cropharvest/datasets.py
index ca082a97..b290c6a5 100644
--- a/cropharvest/datasets.py
+++ b/cropharvest/datasets.py
@@ -36,6 +36,7 @@ class Task:
     balance_negative_crops: bool = False
     test_identifier: Optional[str] = None
     normalize: bool = True
+    include_externally_contributed_labels: bool = True
 
     def __post_init__(self):
         if self.target_label is None:
@@ -90,17 +91,27 @@ def as_geojson(self) -> geopandas.GeoDataFrame:
         return self._labels
 
     @staticmethod
-    def filter_geojson(gpdf: geopandas.GeoDataFrame, bounding_box: BBox) -> geopandas.GeoDataFrame:
+    def filter_geojson(
+        gpdf: geopandas.GeoDataFrame, bounding_box: BBox, include_external_contributions: bool
+    ) -> geopandas.GeoDataFrame:
         with warnings.catch_warnings():
             warnings.simplefilter("ignore")
             # warning: invalid value encountered in ? (vectorized)
-            in_bounding_box = np.vectorize(bounding_box.contains)(
+            include_condition = np.vectorize(bounding_box.contains)(
                 gpdf[RequiredColumns.LAT], gpdf[RequiredColumns.LON]
             )
-        return gpdf[in_bounding_box]
-
-    def classes_in_bbox(self, bounding_box: BBox) -> List[str]:
-        bbox_geojson = self.filter_geojson(self.as_geojson(), bounding_box)
+        if not include_external_contributions:
+            include_condition &= gpdf[
+                gpdf[RequiredColumns.EXTERNALLY_CONTRIBUTED_DATASET] == False
+            ]
+        return gpdf[include_condition]
+
+    def classes_in_bbox(
+        self, bounding_box: BBox, include_external_contributions: bool
+    ) -> List[str]:
+        bbox_geojson = self.filter_geojson(
+            self.as_geojson(), bounding_box, include_external_contributions
+        )
         unique_labels = [x for x in bbox_geojson.label.unique() if x is not None]
         return unique_labels
 
@@ -117,7 +128,9 @@ def construct_positive_and_negative_labels(
         if filter_test:
             gpdf = gpdf[gpdf[RequiredColumns.IS_TEST] == False]
         if task.bounding_box is not None:
-            gpdf = self.filter_geojson(gpdf, task.bounding_box)
+            gpdf = self.filter_geojson(
+                gpdf, task.bounding_box, task.include_externally_contributed_labels
+            )
 
         if len(gpdf) == 0:
             raise NoDataForBoundingBoxError
diff --git a/process_labels/datasets.py b/process_labels/datasets.py
index 50d804e0..fc452818 100644
--- a/process_labels/datasets.py
+++ b/process_labels/datasets.py
@@ -15,14 +15,17 @@
     "ethiopia": {
         "function": loading_funcs.load_ethiopia,
         "description": "Hand-labelled crop / non-crop labels in Ethiopia",
+        "externally_contributed": False,
     },
     "sudan": {
         "function": loading_funcs.load_sudan,
         "description": "Hand-labelled crop / non crop labels in Sudan",
+        "externally_contributed": False,
     },
     "togo": {
         "function": loading_funcs.load_togo,
         "description": "Hand-labelled crop / non crop labels in Togo",
+        "externally_contributed": False,
     },
     "togo-eval": {
         "function": loading_funcs.load_togo_eval,
@@ -30,6 +33,7 @@
             "Hand-labelled crop / non crop labels in Togo. "
             "These labels are a consensus set collected from 4 labellers."
         ),
+        "externally_contributed": False,
     },
     "lem-brazil": {
         "function": loading_funcs.load_lem_brazil,
@@ -38,6 +42,7 @@
             "For more information, please refer to "
             "https://www.sciencedirect.com/science/article/pii/S2352340920314359"
         ),
+        "externally_contributed": False,
     },
     "geowiki-landcover-2017": {
         "function": loading_funcs.load_geowiki_landcover_2017,
@@ -46,6 +51,7 @@
             "GeoWiki. For more information, please refer to "
             "https://doi.pangaea.de/10.1594/PANGAEA.873912"
         ),
+        "externally_contributed": False,
     },
     "central-asia": {
         "function": loading_funcs.load_central_asia,
@@ -54,6 +60,7 @@
             "For more information, please refer to "
             "https://www.nature.com/articles/s41597-020-00591-2.pdf"
         ),
+        "externally_contributed": False,
     },
     "kenya": {
         "function": loading_funcs.load_kenya,
@@ -62,10 +69,12 @@
             "information, please refer to "
             "https://doi.org/10.34911/rdnt.u41j87"
         ),
+        "externally_contributed": False,
     },
     "kenya-non-crop": {
         "function": loading_funcs.load_kenya_non_crop,
         "description": "Hand-labelled non crop labels in Kenya",
+        "externally_contributed": False,
     },
     "uganda": {
         "function": loading_funcs.load_uganda,
@@ -74,6 +83,7 @@
             "information, please refer to "
             "https://registry.mlhub.earth/10.34911/rdnt.eii04x/"
         ),
+        "externally_contributed": False,
     },
     "tanzania": {
         "function": loading_funcs.load_tanzania,
@@ -82,6 +92,7 @@
             "more information, please refer to "
             "https://doi.org/10.34911/rdnt.5vx40r"
         ),
+        "externally_contributed": False,
     },
     "croplands": {
         "function": loading_funcs.load_croplands,
@@ -91,10 +102,12 @@
             "project (https://croplands.org/home) retrieved from "
             "https://croplands.org/app/data/search?page=1&page_size=200 "
         ),
+        "externally_contributed": False,
     },
     "zimbabwe": {
         "function": loading_funcs.load_zimbabwe,
         "description": "Maize labels collected by the FEWS NET",
+        "externally_contributed": False,
     },
     "mali": {
         "function": loading_funcs.load_mali,
@@ -103,10 +116,12 @@
             "collected as part of the Relief to Resistance in the Sahel "
             "(R2R)"
         ),
+        "externally_contributed": False,
     },
     "mali-non-crop": {
         "function": loading_funcs.load_mali_crop_noncrop,
         "description": "Hand labelled non-crop labels in Mali",
+        "externally_contributed": False,
     },
     "ile-de-france": {
         "function": loading_funcs.load_ile_de_france,
@@ -117,10 +132,12 @@
             "on May 4th 2021. When loaded from the raw data, the dataset size is significantly "
             "reduced (i.e. we take a small subset of the total available labels) "
         ),
+        "externally_contributed": False,
     },
     "brazil-non-crop": {
         "function": loading_funcs.load_brazil_noncrop,
         "description": {"Hand labelled non-crop labels in Brazil"},
+        "externally_contributed": False,
     },
     "reunion-france": {
         "function": loading_funcs.load_reunion,
@@ -132,6 +149,7 @@
             "on June 2nd 2021. When loaded from the raw data, the dataset size is significantly "
             "reduced (i.e. we take a small subset of the total available labels) "
         ),
+        "externally_contributed": False,
     },
     "martinique-france": {
         "function": loading_funcs.load_martinique,
@@ -143,10 +161,12 @@
             "on June 2nd 2021. When loaded from the raw data, the dataset size is significantly "
             "reduced (i.e. we take a small subset of the total available labels) "
         ),
+        "externally_contributed": False,
     },
     "rwanda-ceo": {
         "function": loading_funcs.load_rwanda_ceo,
         "description": "Hand-labelled crop / non crop labels in Rwanda",
+        "externally_contributed": False,
     },
     "canada": {
         "function": loading_funcs.load_canada,
@@ -156,6 +176,7 @@
             "https://open.canada.ca/data/en/dataset/503a3113-e435-49f4-850c-d70056788632. "
             "Contains information licensed under the Open Government Licence – Canada."
         ),
+        "externally_contributed": False,
     },
     "germany": {
         "function": loading_funcs.load_germany,
@@ -164,14 +185,17 @@
             " of the European Union, and processed in "
             "https://github.com/lukaskondmann/DENETHOR"
         ),
+        "externally_contributed": False,
     },
     "mali-helmets-labelling-crops": {
         "function": loading_funcs.load_mali_hlc,
         "description": ("2022 data collected as part of the Helmets Labelling Crops project"),
+        "externally_contributed": False,
     },
     "tanzania-rice-ecaas": {
         "function": loading_funcs.load_tanzania_ecaas,
-        "description": ("Tanzania Rice ECAAS campaign"),
+        "description": "Tanzania Rice ECAAS campaign",
+        "externally_contributed": False,
     },
 }
 
@@ -200,8 +224,14 @@ def combine_datasets(datasets: Optional[List[str]] = None) -> geopandas.GeoDataF
 
     for dataset_name in datasets:
         dataset = load(dataset_name)
-        dataset = dataset.assign(dataset=dataset_name)
-
+        dataset = dataset.assign(
+            **{
+                RequiredColumns.DATASET: dataset_name,
+                RequiredColumns.EXTERNALLY_CONTRIBUTED_DATASET: DATASETS[dataset_name][
+                    "externally_contributed"
+                ],
+            }
+        )
         for column in NullableColumns.tolist():
             if column not in dataset:
                 dataset = dataset.assign(