Upload many_emotions.py

many_emotions.py

@@ -79,7 +79,7 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
         EmotionsDatasetConfig(
             name="multilingual",
             label_classes=_CLASS_NAMES,
-            features=["text", "label", "dataset", "license", "es", "it", "fr", "de"]
+            features=["text", "label", "dataset", "license"]
         )
     ]
 
@@ -106,11 +106,7 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
                         'text': Value(dtype='string', id=None),
                         'label': ClassLabel(names=_CLASS_NAMES, id=None),
                         'dataset': Value(dtype='string', id=None),
-                        'license': Value(dtype='string', id=None),
-                        'es': Value(dtype='string', id=None),
-                        'it': Value(dtype='string', id=None),
-                        'fr': Value(dtype='string', id=None),
-                        'de': Value(dtype='string', id=None),
+                        'license': Value(dtype='string', id=None)
                     }
                 )
             )
@@ -125,12 +121,12 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
                                                                   "dataset": k,
                                                                   "license": v.get("license")}))
         else:
-            k = self.config.name
-            v = _URLS.get(k)
             downloaded_files = dl_manager.download_and_extract(["data/many_emotions.tar.xz"])
-            splits.append(datasets.SplitGenerator(name=k,
-                                                  gen_kwargs={"filepaths": downloaded_files,
-                                                              "dataset": "many_emotions"}))
+            for lang in ["en", "fr", "it", "es", "de"]:
+                splits.append(datasets.SplitGenerator(name=lang,
+                                                      gen_kwargs={"filepaths": downloaded_files,
+                                                                  "language": lang,
+                                                                  "dataset": "many_emotions"}))
         return splits
 
     def process_daily_dialog(self, filepaths, dataset):
@@ -161,7 +157,7 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
                                     "license": license,
                                     "label": emo_mapping[ce]}
 
-    def _generate_examples(self, filepaths, dataset, license=None):
+    def _generate_examples(self, filepaths, dataset, license=None, language=None):
         if dataset == "go_emotions":
             for i, filepath in enumerate(filepaths):
                 df = pd.read_csv(filepath)
@@ -199,6 +195,14 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
                     with open(filepath, encoding="utf-8") as f:
                         for idx, line in enumerate(f):
                             example = json.loads(line)
+                            if language != "all":
+                                example = {
+                                    "id": example["id"],
+                                    'text': example["text" if language == "en" else language],
+                                    'label': example["label"],
+                                    'dataset': example["dataset"],
+                                    'license': example["license"]
+                                }
                             example.update({
                                 "label": _CLASS_NAMES[example["label"]]
                             })