diff --git a/tests/test_hf_gcp.py b/tests/test_hf_gcp.py
deleted file mode 100644
index 609d2f63c3c..00000000000
--- a/tests/test_hf_gcp.py
+++ /dev/null
@@ -1,114 +0,0 @@
-import os
-from tempfile import TemporaryDirectory
-from unittest import TestCase
-
-import pytest
-from absl.testing import parameterized
-
-from datasets import config, load_dataset_builder
-from datasets.arrow_reader import HF_GCP_BASE_URL
-from datasets.dataset_dict import IterableDatasetDict
-from datasets.iterable_dataset import IterableDataset
-from datasets.utils.file_utils import cached_path
-
-
-DATASETS_ON_HF_GCP = [
-    {"dataset": "wikipedia", "config_name": "20220301.de", "revision": "4d013bdd32c475c8536aae00a56efc774f061649"},
-    {"dataset": "wikipedia", "config_name": "20220301.en", "revision": "4d013bdd32c475c8536aae00a56efc774f061649"},
-    {"dataset": "wikipedia", "config_name": "20220301.fr", "revision": "4d013bdd32c475c8536aae00a56efc774f061649"},
-    {"dataset": "wikipedia", "config_name": "20220301.frr", "revision": "4d013bdd32c475c8536aae00a56efc774f061649"},
-    {"dataset": "wikipedia", "config_name": "20220301.it", "revision": "4d013bdd32c475c8536aae00a56efc774f061649"},
-    {"dataset": "wikipedia", "config_name": "20220301.simple", "revision": "4d013bdd32c475c8536aae00a56efc774f061649"},
-    {"dataset": "wiki40b", "config_name": "en", "revision": "7b21a2e64b90323b2d3d1b81aa349bb4bc76d9bf"},
-    {
-        "dataset": "wiki_dpr",
-        "config_name": "psgs_w100.nq.compressed",
-        "revision": "b24a417d802a583f8922946c1c75210290e93108",
-    },
-    {
-        "dataset": "wiki_dpr",
-        "config_name": "psgs_w100.nq.no_index",
-        "revision": "b24a417d802a583f8922946c1c75210290e93108",
-    },
-    {
-        "dataset": "wiki_dpr",
-        "config_name": "psgs_w100.multiset.no_index",
-        "revision": "b24a417d802a583f8922946c1c75210290e93108",
-    },
-    {"dataset": "natural_questions", "config_name": "default", "revision": "19ba7767b174ad046a84f46af056517a3910ee57"},
-]
-
-
-def list_datasets_on_hf_gcp_parameters(with_config=True, with_revision=True):
-    columns = ["dataset"]
-    if with_config:
-        columns.append("config_name")
-    if with_revision:
-        columns.append("revision")
-    dataset_list = [{col: dataset[col] for col in columns} for dataset in DATASETS_ON_HF_GCP]
-
-    def get_testcase_name(dataset):
-        testcase_name = dataset["dataset"]
-        if with_config:
-            testcase_name += "/" + dataset["config_name"]
-        if with_revision:
-            testcase_name += "@" + dataset["revision"]
-        return testcase_name
-
-    dataset_list = [{"testcase_name": get_testcase_name(dataset), **dataset} for dataset in dataset_list]
-    return dataset_list
-
-
-@parameterized.named_parameters(list_datasets_on_hf_gcp_parameters(with_config=True, with_revision=True))
-class TestDatasetOnHfGcp(TestCase):
-    dataset = None
-    config_name = None
-    revision = None
-
-    def test_dataset_info_available(self, dataset, config_name, revision):
-        with TemporaryDirectory() as tmp_dir:
-            builder = load_dataset_builder(
-                dataset,
-                config_name,
-                revision=revision,
-                cache_dir=tmp_dir,
-                trust_remote_code=True,
-            )
-
-            dataset_info_url = "/".join(
-                [
-                    HF_GCP_BASE_URL,
-                    builder._relative_data_dir(with_hash=False).replace(os.sep, "/"),
-                    config.DATASET_INFO_FILENAME,
-                ]
-            )
-            datset_info_path = cached_path(dataset_info_url, cache_dir=tmp_dir)
-            self.assertTrue(os.path.exists(datset_info_path))
-
-
-@pytest.mark.integration
-def test_as_dataset_from_hf_gcs(tmp_path_factory):
-    tmp_dir = tmp_path_factory.mktemp("test_hf_gcp") / "test_wikipedia_simple"
-    builder = load_dataset_builder("wikipedia", "20220301.frr", cache_dir=tmp_dir, trust_remote_code=True)
-    # use the HF cloud storage, not the original download_and_prepare
-    builder._download_and_prepare = None
-    builder.download_and_prepare(try_from_hf_gcs=True)
-    ds = builder.as_dataset()
-    assert ds
-
-
-@pytest.mark.integration
-def test_as_streaming_dataset_from_hf_gcs(tmp_path):
-    builder = load_dataset_builder(
-        "wikipedia",
-        "20220301.frr",
-        revision="4d013bdd32c475c8536aae00a56efc774f061649",
-        cache_dir=tmp_path,
-        trust_remote_code=True,
-    )
-    ds = builder.as_streaming_dataset()
-    assert ds
-    assert isinstance(ds, IterableDatasetDict)
-    assert "train" in ds
-    assert isinstance(ds["train"], IterableDataset)
-    assert next(iter(ds["train"]))