Fix cache path to snakecase for CachedDatasetModuleFactory and Cache

src/datasets/load.py

@@ -1608,7 +1608,10 @@ def _get_modification_time(module_hash):
             }
             return DatasetModule(module_path, hash, builder_kwargs, importable_file_path=importable_file_path)
         cache_dir = os.path.expanduser(str(self.cache_dir or config.HF_DATASETS_CACHE))
-        cached_datasets_directory_path_root = os.path.join(cache_dir, self.name.replace("/", "___"))
+        namespace_and_dataset_name = self.name.split("/")
+        namespace_and_dataset_name[-1] = camelcase_to_snakecase(namespace_and_dataset_name[-1])
+        cached_relative_path = "___".join(namespace_and_dataset_name)
+        cached_datasets_directory_path_root = os.path.join(cache_dir, cached_relative_path)
         cached_directory_paths = [
             cached_directory_path
             for cached_directory_path in glob.glob(os.path.join(cached_datasets_directory_path_root, "*", "*", "*"))

src/datasets/packaged_modules/cache/cache.py

@@ -12,7 +12,7 @@
 import datasets
 import datasets.config
 import datasets.data_files
-from datasets.naming import filenames_for_dataset_split
+from datasets.naming import camelcase_to_snakecase, filenames_for_dataset_split
 
 
 logger = datasets.utils.logging.get_logger(__name__)
@@ -36,7 +36,10 @@ def _find_hash_in_cache(
     else:
         config_id = None
     cache_dir = os.path.expanduser(str(cache_dir or datasets.config.HF_DATASETS_CACHE))
-    cached_datasets_directory_path_root = os.path.join(cache_dir, dataset_name.replace("/", "___"))
+    namespace_and_dataset_name = dataset_name.split("/")
+    namespace_and_dataset_name[-1] = camelcase_to_snakecase(namespace_and_dataset_name[-1])
+    cached_relative_path = "___".join(namespace_and_dataset_name)
+    cached_datasets_directory_path_root = os.path.join(cache_dir, cached_relative_path)
     cached_directory_paths = [
         cached_directory_path
         for cached_directory_path in glob.glob(

tests/packaged_modules/test_cache.py

@@ -8,6 +8,7 @@
 
 SAMPLE_DATASET_SINGLE_CONFIG_IN_METADATA = "hf-internal-testing/audiofolder_single_config_in_metadata"
 SAMPLE_DATASET_TWO_CONFIG_IN_METADATA = "hf-internal-testing/audiofolder_two_configs_in_metadata"
+SAMPLE_DATASET_CAPITAL_LETTERS_IN_NAME = "hf-internal-testing/DatasetWithCapitalLetters"
 
 
 def test_cache(text_dir: Path, tmp_path: Path):
@@ -133,3 +134,25 @@ def test_cache_single_config(tmp_path: Path):
             hash="auto",
         )
     assert config_name in str(excinfo.value)
+
+
+@pytest.mark.integration
+def test_cache_capital_letters(tmp_path: Path):
+    cache_dir = tmp_path / "test_cache_capital_letters"
+    repo_id = SAMPLE_DATASET_CAPITAL_LETTERS_IN_NAME
+    dataset_name = repo_id.split("/")[-1]
+    ds = load_dataset(repo_id, cache_dir=str(cache_dir))
+    cache = Cache(cache_dir=str(cache_dir), dataset_name=dataset_name, repo_id=repo_id, version="auto", hash="auto")
+    reloaded = cache.as_dataset()
+    assert list(ds) == list(reloaded)
+    assert len(ds["train"]) == len(reloaded["train"])
+    cache = Cache(
+        cache_dir=str(cache_dir),
+        dataset_name=dataset_name,
+        repo_id=repo_id,
+        version="auto",
+        hash="auto",
+    )
+    reloaded = cache.as_dataset()
+    assert list(ds) == list(reloaded)
+    assert len(ds["train"]) == len(reloaded["train"])

tests/test_load.py

@@ -100,6 +100,7 @@ def _generate_examples(self, filepath, **kwargs):
 SAMPLE_DATASET_TWO_CONFIG_IN_METADATA_WITH_DEFAULT = (
     "hf-internal-testing/audiofolder_two_configs_in_metadata_with_default"
 )
+SAMPLE_DATASET_CAPITAL_LETTERS_IN_NAME = "hf-internal-testing/DatasetWithCapitalLetters"
 
 
 METRIC_LOADING_SCRIPT_NAME = "__dummy_metric1__"
@@ -1026,6 +1027,19 @@ def test_offline_dataset_module_factory_with_script(self):
                 self.assertNotEqual(dataset_module_1.module_path, dataset_module_3.module_path)
                 self.assertIn("Using the latest cached version of the module", self._caplog.text)
 
+    @pytest.mark.integration
+    def test_offline_dataset_module_factory_with_capital_letters_in_name(self):
+        repo_id = SAMPLE_DATASET_CAPITAL_LETTERS_IN_NAME
+        builder = load_dataset_builder(repo_id, cache_dir=self.cache_dir)
+        builder.download_and_prepare()
+        for offline_simulation_mode in list(OfflineSimulationMode):
+            with offline(offline_simulation_mode):
+                self._caplog.clear()
+                # allow provide the repo id without an explicit path to remote or local actual file
+                dataset_module = datasets.load.dataset_module_factory(repo_id, cache_dir=self.cache_dir)
+                self.assertEqual(dataset_module.module_path, "datasets.packaged_modules.cache.cache")
+                self.assertIn("Using the latest cached version of the dataset", self._caplog.text)
+
     def test_load_dataset_from_hub(self):
         with self.assertRaises(DatasetNotFoundError) as context:
             datasets.load_dataset("_dummy")