diff --git a/unimore_bda_6/gathering.py b/unimore_bda_6/gathering.py
new file mode 100644
index 0000000..81951a4
--- /dev/null
+++ b/unimore_bda_6/gathering.py
@@ -0,0 +1,74 @@
+import typing as t
+import contextlib
+import dataclasses
+import logging
+import pymongo
+
+from .config import TRAINING_SET_SIZE, VALIDATION_SET_SIZE, EVALUATION_SET_SIZE
+from .database import SampleFunc, CachedDatasetFunc, mongo_client_from_config, reviews_collection, store_cache, load_cache, delete_cache
+
+log = logging.getLogger(__name__)
+
+
+@dataclasses.dataclass
+class Caches:
+    """
+    Container for the three generators that can create datasets.
+    """
+
+    training: CachedDatasetFunc
+    validation: CachedDatasetFunc
+    evaluation: CachedDatasetFunc
+
+    @classmethod
+    @contextlib.contextmanager
+    def from_database_samples(cls, collection: pymongo.collection.Collection, sample_func: SampleFunc) -> t.ContextManager["Caches"]:
+        """
+        Create a new caches object from a database collection and a sampling function.
+        """
+
+        log.debug("Gathering datasets...")
+        reviews_training = sample_func(collection, TRAINING_SET_SIZE.__wrapped__)
+        reviews_validation = sample_func(collection, VALIDATION_SET_SIZE.__wrapped__)
+        reviews_evaluation = sample_func(collection, EVALUATION_SET_SIZE.__wrapped__)
+
+        log.debug("Caching datasets...")
+        store_cache(reviews_training, "./data/training")
+        store_cache(reviews_validation, "./data/validation")
+        store_cache(reviews_evaluation, "./data/evaluation")
+
+        log.debug("Loading dataset caches...")
+        training_cache = load_cache("./data/training")
+        validation_cache = load_cache("./data/validation")
+        evaluation_cache = load_cache("./data/evaluation")
+
+        yield Caches(training=training_cache, validation=validation_cache, evaluation=evaluation_cache)
+
+        log.debug("Cleaning up caches...")
+        delete_cache("./data/training")
+        delete_cache("./data/validation")
+        delete_cache("./data/evaluation")
+
+    @staticmethod
+    def ensure_clean():
+        log.debug("Ensuring there are no leftover caches...")
+
+        try:
+            delete_cache("./data/training")
+        except FileNotFoundError:
+            pass
+
+        try:
+            delete_cache("./data/validation")
+        except FileNotFoundError:
+            pass
+
+        try:
+            delete_cache("./data/evaluation")
+        except FileNotFoundError:
+            pass
+
+
+__all__ = (
+    "Caches",
+)