:+1: fix missing names

README.md

@@ -81,12 +81,12 @@ dataset: ds.DatasetDict = ds.load_dataset("hpprc/jsick")
 print(dataset)
 # DatasetDict({
 #     train: Dataset({
-#         features: ['id', 'premise', 'hypothesis', 'label', 'heuristics', 'number_of_NPs', 'semtag'],
-#         num_rows: 13680
+#         features: ['id', 'premise', 'hypothesis', 'label', 'score', 'sentence_A_En', 'sentence_B_En', 'entailment_label_En', 'relatedness_score_En', 'corr_entailment_labelAB_En', 'corr_entailment_labelBA_En', 'image_ID', 'original_caption', 'semtag_short', 'semtag_long'],
+#         num_rows: 4500
 #     })
 #     test: Dataset({
-#         features: ['id', 'premise', 'hypothesis', 'label', 'heuristics', 'number_of_NPs', 'semtag'],
-#         num_rows: 720
+#         features: ['id', 'premise', 'hypothesis', 'label', 'score', 'sentence_A_En', 'sentence_B_En', 'entailment_label_En', 'relatedness_score_En', 'corr_entailment_labelAB_En', 'corr_entailment_labelBA_En', 'image_ID', 'original_caption', 'semtag_short', 'semtag_long'],
+#         num_rows: 4927
 #     })
 # })
 
@@ -94,12 +94,12 @@ dataset: ds.DatasetDict = ds.load_dataset("hpprc/jsick", name="original")
 print(dataset)
 # DatasetDict({
 #     train: Dataset({
-#         features: ['id', 'sentence_A_Ja', 'sentence_B_Ja', 'entailment_label_Ja', 'heuristics', 'number_of_NPs', 'semtag'],
-#         num_rows: 13680
+#         features: ['id', 'premise', 'hypothesis', 'label', 'score', 'sentence_A_En', 'sentence_B_En', 'entailment_label_En', 'relatedness_score_En', 'corr_entailment_labelAB_En', 'corr_entailment_labelBA_En', 'image_ID', 'original_caption', 'semtag_short', 'semtag_long'],
+#         num_rows: 4500
 #     })
 #     test: Dataset({
-#         features: ['id', 'sentence_A_Ja', 'sentence_B_Ja', 'entailment_label_Ja', 'heuristics', 'number_of_NPs', 'semtag'],
-#         num_rows: 720
+#         features: ['id', 'premise', 'hypothesis', 'label', 'score', 'sentence_A_En', 'sentence_B_En', 'entailment_label_En', 'relatedness_score_En', 'corr_entailment_labelAB_En', 'corr_entailment_labelBA_En', 'image_ID', 'original_caption', 'semtag_short', 'semtag_long'],
+#         num_rows: 4927
 #     })
 # })
 ```

jsick.py

@@ -144,7 +144,12 @@ class JSICKDataset(ds.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager: ds.DownloadManager):
-        data_path = dl_manager.download_and_extract(_URLS[self.config.name])
+        if self.config.name in ["base", "original"]:
+            url = _URLS["base"]
+        elif self.config.name in ["stress", "stress_original"]:
+            url = _URLS["stress"]
+
+        data_path = dl_manager.download_and_extract(url)
         df: pd.DataFrame = pd.read_table(data_path, sep="\t", header=0)
 
         if self.config.name in ["stress", "stress_original"]: