Upload emotions_dataset.py

emotions_dataset.py

@@ -4,7 +4,7 @@ from typing import List
 
 import datasets
 import pandas as pd
-from datasets import ClassLabel, Value
+from datasets import ClassLabel, Value, load_dataset
 
 _URLS = {
     "go_emotions": {
@@ -105,7 +105,7 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
                 splits.append(datasets.SplitGenerator(name=k,
                                                       gen_kwargs={"filepaths": downloaded_files,
                                                                   "dataset": k,
-                                                                  "license": v}))
+                                                                  "license": v.get("license")}))
         else:
             k = self.config.name
             v = _URLS.get(k)
@@ -113,7 +113,7 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
             splits.append(datasets.SplitGenerator(name=k,
                                                   gen_kwargs={"filepaths": downloaded_files,
                                                               "dataset": k,
-                                                              "license": v}))
+                                                              "license": v.get("license")}))
         return splits
 
     def _generate_examples(self, filepaths, dataset, license):
@@ -131,6 +131,7 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
                                 "license": license,
                                 "label": row[current_classes][row == 1].index.item()}
         elif dataset == "daily_dialog":
+            # TODO move outside
             emo_mapping = {0: "no emotion", 1: "anger", 2: "disgust",
                            3: "fear", 4: "happiness", 5: "sadness", 6: "surprise"}
             for i, filepath in enumerate(filepaths):
@@ -138,6 +139,7 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
                     emotions = open(os.path.join(filepath, "ijcnlp_dailydialog/dialogues_emotion.txt"), "r").read()
                     text = open(os.path.join(filepath, "ijcnlp_dailydialog/dialogues_text.txt"), "r").read()
                 else:
+                    # TODO check if this can be removed
                     archive = zipfile.ZipFile(filepath, 'r')
                     emotions = archive.open("ijcnlp_dailydialog/dialogues_emotion.txt", "r").read().decode()
                     text = archive.open("ijcnlp_dailydialog/dialogues_text.txt", "r").read().decode()
@@ -155,3 +157,7 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
                                         "dataset": dataset,
                                         "license": license,
                                         "label": emo_mapping[ce]}
+
+
+temp = load_dataset("ma2za/emotions_dataset", name="daily_dialog")
+print()