Datasets:

cardiffnlp
/

super_tweeteval

Tasks:

Text Classification

Token Classification

Question Answering

Modalities:

Formats:

Sub-tasks:

topic-classification

named-entity-recognition

Languages:

Size:

ArXiv:

Tags:

super_tweet_eval

natural language understanding

Libraries:

License:

Dataset card Data Studio Files Files and versions Community

asahi417 commited on May 18, 2023

Commit

b8f399e

·

1 Parent(s): 51f8aff

init

Files changed (1) hide show

super_tweet_eval.py +1 -5

super_tweet_eval.py CHANGED Viewed

@@ -2,7 +2,7 @@
 import json
 import datasets
-_VERSION = "0.1.1"
 _SUPER_TWEET_EVAL_CITATION = """TBA"""
 _SUPER_TWEET_EVAL_DESCRIPTION = """TBA"""
 _TWEET_TOPIC_DESCRIPTION = """
@@ -199,10 +199,6 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
             features["gold_label_binary"] = datasets.Value("int32")
             features["token_idx_1"] = datasets.Value("int32")
             features["token_idx_2"] = datasets.Value("int32")
-            features["text_start_1"] = datasets.Value("int32")
-            features["text_start_2"] = datasets.Value("int32")
-            features["text_end_1"] = datasets.Value("int32")
-            features["text_end_2"] = datasets.Value("int32")
             features["text_1_tokenized"] = datasets.Sequence(datasets.Value("string"))
             features["text_2_tokenized"] = datasets.Sequence(datasets.Value("string"))

 import json
 import datasets
+_VERSION = "0.1.2"
 _SUPER_TWEET_EVAL_CITATION = """TBA"""
 _SUPER_TWEET_EVAL_DESCRIPTION = """TBA"""
 _TWEET_TOPIC_DESCRIPTION = """
             features["gold_label_binary"] = datasets.Value("int32")
             features["token_idx_1"] = datasets.Value("int32")
             features["token_idx_2"] = datasets.Value("int32")
             features["text_1_tokenized"] = datasets.Sequence(datasets.Value("string"))
             features["text_2_tokenized"] = datasets.Sequence(datasets.Value("string"))