test

dataset_info.json

@@ -1,4 +1,5 @@
 {
+  "viewer": false,
   "description": "Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.\n",
   "citation": "",
   "homepage": "",
@@ -38,7 +39,7 @@
     }
   },
   "download_checksums": {
-    "https://huggingface.co/datasets/yunosuken/sentiment-train/resolve/6becbc3ef39b467675662a4036d5d3004959d06f/data/train-00000-of-00001-c9a7e166e461a704.parque": {
+    "https://huggingface.co/datasets/yunosuken/sentiment-train/resolve/6becbc3ef39b467675662a4036d5d3004959d06f/data/train-00000-of-00001-c9a7e166e461a704.parquet": {
       "num_bytes": 505435,
       "checksum": null
     },

sentiment-train.py

@@ -1,41 +0,0 @@
-import datasets
-
-logger = datasets.logging.get_logger(__name__)
-
-_DESCRIPTION = """\
-これはテスト説明
-テストテスト
-"""
-
-class TestConfig(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
-        super(TestConfig, self).__init__(**kwargs)
-
-
-class Test(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIG_CLASS = TestConfig
-
-    BUILDER_CONFIGS = [
-        TestConfig(
-            name="default",
-        ),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("int64"),
-                    "text": datasets.Value("string"),
-                    "label": datasets.Value("int64")
-                }
-            ),
-            task_templates=[],
-        )
-
-    def _split_generators(self, dl_manager):
-        pass
-
-    def _generate_examples(self, filepath):
-        pass