fix dataset

README.md

@@ -58,6 +58,7 @@ The data fields are the same among all splits.
 - `text_tokenized`: a list of `string` feature.
 - `gold_label_sequence`: a list of `string` feature.
 - `date`: a `string` feature.
+- `entities`: a `dictionary` feature.
 
 #### tweet_qa
 - `text`: a `string` feature.

super_tweeteval.py

@@ -2,7 +2,7 @@
 import json
 import datasets
 
-_VERSION = "0.1.5"
+_VERSION = "0.1.51"
 _SUPER_TWEETEVAL_CITATION = """TBA"""
 _SUPER_TWEETEVAL_DESCRIPTION = """TBA"""
 _TWEET_TOPIC_DESCRIPTION = """
@@ -309,7 +309,7 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
                 datasets.features.ClassLabel(names=names))
             features["text_tokenized"] = datasets.Sequence(
                 datasets.Value("string"))
-            features["entities"] = datasets.Sequence({"entity": datasets.Value("string"), "type": datasets.Value("string")})
+            features["entities"] = datasets.features.Sequence({"entity": datasets.Value("string"), "type": datasets.Value("string")})
         if self.config.name in ["tweet_intimacy", "tweet_similarity"]:
             features["gold_score"] = datasets.Value("float32")
         if self.config.name == "tempo_wic":