🪿 black

many_emotions.py

@@ -51,7 +51,6 @@ _CLASS_NAMES = [
 
 
 class EmotionsDatasetConfig(datasets.BuilderConfig):
-
     def __init__(self, features, label_classes, **kwargs):
         super().__init__(**kwargs)
         self.features = features
@@ -63,46 +62,59 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
         EmotionsDatasetConfig(
             name="raw",
             label_classes=_SUB_CLASSES,
-            features=["text", "label", "dataset", "license"]
+            features=["text", "label", "dataset", "license"],
         ),
         EmotionsDatasetConfig(
             name="split",
             label_classes=_SUB_CLASSES,
-            features=["text", "label", "dataset", "license", "language"]
-        )
+            features=["text", "label", "dataset", "license", "language"],
+        ),
     ]
 
     DEFAULT_CONFIG_NAME = "split"
 
     def _info(self):
-        return datasets.DatasetInfo(
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    'text': Value(dtype='string', id=None),
-                    'label': ClassLabel(names=_SUB_CLASSES, id=None),
-                    'dataset': Value(dtype='string', id=None),
-                    'license': Value(dtype='string', id=None),
-                    'language': ClassLabel(names=_LANGUAGES, id=None)
-                }
-            )
-        )
+        features = {
+            "id": datasets.Value("string"),
+            "text": Value(dtype="string", id=None),
+            "label": ClassLabel(names=_SUB_CLASSES, id=None),
+            "dataset": Value(dtype="string", id=None),
+            "license": Value(dtype="string", id=None),
+        }
+        if self.config.name == "split":
+            features.update({"language": ClassLabel(names=_LANGUAGES, id=None)})
+        return datasets.DatasetInfo(features=datasets.Features(features))
 
-    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+    def _split_generators(
+        self, dl_manager: datasets.DownloadManager
+    ) -> List[datasets.SplitGenerator]:
         splits = []
         if self.config.name == "raw":
-            downloaded_files = dl_manager.download_and_extract(["data/many_emotions.json.gz"])
+            downloaded_files = dl_manager.download_and_extract(
+                ["data/many_emotions.json.gz"]
+            )
             for lang in _LANGUAGES:
-                splits.append(datasets.SplitGenerator(name=lang,
-                                                      gen_kwargs={"filepaths": downloaded_files,
-                                                                  "language": lang,
-                                                                  "dataset": "raw"}))
+                splits.append(
+                    datasets.SplitGenerator(
+                        name=lang,
+                        gen_kwargs={
+                            "filepaths": downloaded_files,
+                            "language": lang,
+                            "dataset": "raw",
+                        },
+                    )
+                )
         else:
             for split in ["train", "validation", "test"]:
-                downloaded_files = dl_manager.download_and_extract([f"data/split_dataset_{split}.jsonl.gz"])
-                splits.append(datasets.SplitGenerator(name=split,
-                                                      gen_kwargs={"filepaths": downloaded_files,
-                                                                  "dataset": "split"}))
+                downloaded_files = dl_manager.download_and_extract(
+                    [f"data/split_dataset_{split}.jsonl.gz"]
+                )
+                splits.append(
+                    datasets.SplitGenerator(
+                        name=split,
+                        gen_kwargs={"filepaths": downloaded_files, "dataset": "split"},
+                    )
+                )
         return splits
 
     def _generate_examples(self, filepaths, dataset, license=None, language=None):
@@ -114,19 +126,19 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
                         if language != "all":
                             example = {
                                 "id": example["id"],
-                                'text': example["text" if language == "en" else language],
-                                'label': example["label"],
-                                'dataset': example["dataset"],
-                                'license': example["license"]
+                                "text": example[
+                                    "text" if language == "en" else language
+                                ],
+                                "label": example["label"],
+                                "dataset": example["dataset"],
+                                "license": example["license"],
                             }
                         label = _CLASS_NAMES[example["label"]]
                         if label == "no emotion":
                             label = "neutral"
                         elif label == "happiness":
                             label = "joy"
-                        example.update({
-                            "label": label
-                        })
+                        example.update({"label": label})
                         yield example["id"], example
         else:
             for i, filepath in enumerate(filepaths):
@@ -137,5 +149,5 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
 
 
 if __name__ == "__main__":
-    dataset = load_dataset("ma2za/many_emotions", name="split")
+    dataset = load_dataset("ma2za/many_emotions", name="raw")
     print()