Update script

imdb_dutch.py

@@ -45,7 +45,7 @@ _CITATION = """\
 }
 """
 
-_DOWNLOAD_URL = "https://huggingface.co/datasets/yhavinga/imdb_dutch/resolve/main/dataset/{split}.gz"
+_DOWNLOAD_URL = "https://huggingface.co/datasets/yhavinga/imdb_dutch/resolve/main/dataset/{split}.jsonl.gz"
 
 
 class IMDBReviewsConfig(datasets.BuilderConfig):
@@ -95,14 +95,14 @@ class Imdb(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "files": dl_manager.download(_DOWNLOAD_URL.format(split="train")),
+                    "files": dl_manager.download([_DOWNLOAD_URL.format(split="train")]),
                     "split": "train",
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "files": dl_manager.download(_DOWNLOAD_URL.format(split="test")),
+                    "files": dl_manager.download([_DOWNLOAD_URL.format(split="test")]),
                     "split": "test",
                 },
             ),
@@ -110,7 +110,7 @@ class Imdb(datasets.GeneratorBasedBuilder):
                 name=datasets.Split("unsupervised"),
                 gen_kwargs={
                     "files": dl_manager.download(
-                        _DOWNLOAD_URL.format(split="unsupervised")
+                        [_DOWNLOAD_URL.format(split="unsupervised")]
                     ),
                     "split": "unsupervised",
                     "labeled": False,

test_imdb_dutch.py

@@ -0,0 +1,39 @@
+from datasets import (
+    load_dataset,
+    disable_caching,
+    get_dataset_split_names,
+    get_dataset_config_names,
+)
+from transformers import AutoTokenizer
+
+disable_caching()
+
+SCRIPT = "./imdb_dutch.py"
+
+
+def test_get_split_names():
+    splits = get_dataset_split_names(SCRIPT, "plain_text")
+    assert splits == ["train", "test", "unsupervised"]
+
+
+def test_get_config_names():
+    configs = get_dataset_config_names(SCRIPT)
+    assert configs == ["plain_text"]
+
+
+def test_streaming_dataset():
+    datasets = load_dataset(SCRIPT, streaming=True)
+    train_ds = datasets["train"]
+
+    i = iter(train_ds)
+    e = next(i)
+
+    val_ds = datasets["test"]
+
+    i = iter(val_ds)
+    e = next(i)
+
+    unsup_ds = datasets["unsupervised"]
+
+    i = iter(unsup_ds)
+    e = next(i)