Update essay_kaggle.py

essay_kaggle.py

@@ -1,62 +1,62 @@
-import json
-
-import datasets
-
-
-
-_URLS = {
-    "seed_0_fold_0": {
-        "train": "data/essay_0_0_train.jsonl.gz",
-        "validation": "data/essay_0_0_vali.jsonl.gz",
-        "test": "data/essay_0_0_test.jsonl.gz",
-    },
-    "seed_0_fold_1": {
-        "train": "data/essay_0_1_train.jsonl.gz",
-        "validation": "data/essay_0_1_vali.jsonl.gz",
-        "test": "data/essay_0_1_test.jsonl.gz",
-    },
-}
-
-
-class Essay(datasets.GeneratorBasedBuilder):
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="seed_0_fold_0"),
-        datasets.BuilderConfig(name="seed_0_fold_1"),
-    ]
-    DEFAULT_CONFIG_NAME = "seed_0_fold_0"
-
-    def _info(self):
-
-        return datasets.DatasetInfo(
-            features=datasets.Features({
-                                        'essay_id': Value('string'),
-                                        'full_text': Value('string'),
-                                        'score': ClassLabel(names = [1, 2, 3, 4, 5, 6],
-                                                                id = [0, 1, 2, 3, 4, 5]
-                                                            )
-                                        })
-
-    def _split_generators(self, dl_manager):
-        """Returns seed_0_fold_0Generators."""
-        paths = dl_manager.download_and_extract(_URLS[self.config.name])
-        if self.config.name == "seed_0_fold_0":
-            return [
-                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": paths["train"]}),
-                datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": paths["validation"]}),
-                datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": paths["test"]}),
-            ]
-        else:
-            return [
-                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": paths["train"]}),
-                datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": paths["validation"]}),
-                datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": paths["test"]}),
-            ]
-            
-
-    def _generate_examples(self, filepath):
-        """Generate examples."""
-        with open(filepath, encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                example = json.loads(line)
+import json
+
+import datasets
+
+
+
+_URLS = {
+    "seed_0_fold_0": {
+        "train": "data/essay_0_0_train.jsonl.gz",
+        "validation": "data/essay_0_0_vali.jsonl.gz",
+        "test": "data/essay_0_0_test.jsonl.gz",
+    },
+    "seed_0_fold_1": {
+        "train": "data/essay_0_1_train.jsonl.gz",
+        "validation": "data/essay_0_1_vali.jsonl.gz",
+        "test": "data/essay_0_1_test.jsonl.gz",
+    },
+}
+
+
+class Essay(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="seed_0_fold_0"),
+        datasets.BuilderConfig(name="seed_0_fold_1"),
+    ]
+    DEFAULT_CONFIG_NAME = "seed_0_fold_0"
+
+    def _info(self):
+
+        return datasets.DatasetInfo(
+            features=datasets.Features({
+                                        'essay_id': Value('string'),
+                                        'full_text': Value('string'),
+                                        'score': ClassLabel(names = [1, 2, 3, 4, 5, 6],
+                                                                id = [0, 1, 2, 3, 4, 5]
+                                                            )
+                                        }))
+
+    def _split_generators(self, dl_manager):
+        """Returns seed_0_fold_0Generators."""
+        paths = dl_manager.download_and_extract(_URLS[self.config.name])
+        if self.config.name == "seed_0_fold_0":
+            return [
+                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": paths["train"]}),
+                datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": paths["validation"]}),
+                datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": paths["test"]}),
+            ]
+        else:
+            return [
+                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": paths["train"]}),
+                datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": paths["validation"]}),
+                datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": paths["test"]}),
+            ]
+            
+
+    def _generate_examples(self, filepath):
+        """Generate examples."""
+        with open(filepath, encoding="utf-8") as f:
+            for idx, line in enumerate(f):
+                example = json.loads(line)
                 yield idx, example