init

.gitattributes

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tweet_temporal_shift.py

@@ -117,13 +117,13 @@ class TweetTemporalShift(datasets.GeneratorBasedBuilder):
             features=["text", "gold_label_list", "date"],
             data_url=f"{_ROOT_URL}/tweet_topic",
         ),
-        # TweetTemporalShiftConfig(
-        #     name="ner_temporal",
-        #     description=_TWEET_NER7_DESCRIPTION,
-        #     citation=_TWEET_NER7_CITATION,
-        #     features=["text", "text_tokenized", "gold_label_sequence", "date"],
-        #     data_url=f"{_ROOT_URL}/tweet_ner",
-        # ),
+        TweetTemporalShiftConfig(
+            name="ner_temporal",
+            description=_TWEET_NER7_DESCRIPTION,
+            citation=_TWEET_NER7_CITATION,
+            features=["text", "text_tokenized", "gold_label_sequence", "date"],
+            data_url=f"{_ROOT_URL}/tweet_ner",
+        ),
         TweetTemporalShiftConfig(
             name="nerd_temporal",
             description=_TWEET_NERD_DESCRIPTION,
@@ -142,13 +142,13 @@ class TweetTemporalShift(datasets.GeneratorBasedBuilder):
                     features=["text", "gold_label_list", "date"],
                     data_url=f"{_ROOT_URL}/tweet_topic_test{i}_seed{s}",
                 ),
-                # TweetTemporalShiftConfig(
-                #     name=f"ner_random{i}_seed{s}",
-                #     description=_TWEET_NER7_DESCRIPTION,
-                #     citation=_TWEET_NER7_CITATION,
-                #     features=["text", "text_tokenized", "gold_label_sequence", "date"],
-                #     data_url=f"{_ROOT_URL}/tweet_ner_test{i}_seed{s}",
-                # ),
+                TweetTemporalShiftConfig(
+                    name=f"ner_random{i}_seed{s}",
+                    description=_TWEET_NER7_DESCRIPTION,
+                    citation=_TWEET_NER7_CITATION,
+                    features=["text", "text_tokenized", "gold_label_sequence", "date"],
+                    data_url=f"{_ROOT_URL}/tweet_ner_test{i}_seed{s}",
+                ),
                 TweetTemporalShiftConfig(
                     name=f"nerd_random{i}_seed{s}",
                     description=_TWEET_NERD_DESCRIPTION,
@@ -176,15 +176,15 @@ class TweetTemporalShift(datasets.GeneratorBasedBuilder):
             features["text_end"] = datasets.Value("int32")
             features["gold_label_binary"] = datasets.Value("int32")
             features["date"] = datasets.Value("string")
-        # elif "ner" in self.config.name:
-        #     names = [
-        #         "B-corporation", "B-creative_work", "B-event", "B-group", "B-location", "B-person", "B-product",
-        #         "I-corporation", "I-creative_work", "I-event", "I-group", "I-location", "I-person", "I-product", "O"]
-        #     features["gold_label_sequence"] = datasets.Sequence(datasets.features.ClassLabel(names=names))
-        #     features["text_tokenized"] = datasets.Sequence(datasets.Value("string"))
-        #     features["entities"] = datasets.features.Sequence(
-        #         {"entity": datasets.Value("string"), "type": datasets.Value("string")}
-        #     )
+        elif "ner" in self.config.name:
+            names = [
+                "B-corporation", "B-creative_work", "B-event", "B-group", "B-location", "B-person", "B-product",
+                "I-corporation", "I-creative_work", "I-event", "I-group", "I-location", "I-person", "I-product", "O"]
+            features["gold_label_sequence"] = datasets.Sequence(datasets.features.ClassLabel(names=names))
+            features["text_tokenized"] = datasets.Sequence(datasets.Value("string"))
+            features["entities"] = datasets.features.Sequence(
+                {"entity": datasets.Value("string"), "type": datasets.Value("string")}
+            )
         return datasets.DatasetInfo(
             description=_TWEET_TEMPORAL_DESCRIPTION + "\n" + self.config.description,
             features=datasets.Features(features),