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Datasets:
cardiffnlp
/
super_tweeteval

Tasks:
Text Classification
Token Classification
Question Answering
Modalities:
Tabular
Text
Formats:
json
Sub-tasks:
topic-classification
named-entity-recognition
abstractive-qa
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
super_tweet_eval
tweet_eval
natural language understanding
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
1
asahi417 commited on
Commit
2052d9d
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1 Parent(s): be3d1d4

init

Browse files
Files changed (2) hide show
  1. README.md +6 -9
  2. process/tweet_ner.py +0 -1
README.md CHANGED
@@ -50,35 +50,32 @@ The data fields are the same among all splits.
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  #### tweet_topic
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  - `text`: a `string` feature.
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- - `label_list`: a list of `string` feature.
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- - `id`: a `string` feature.
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  - `date`: a `string` feature.
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  #### tweet_ner7
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  - `text`: a `string` feature.
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  - `text_tokenized`: a list of `string` feature.
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- - `label_sequence`: a list of `string` feature.
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- - `id`: a `string` feature.
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  - `date`: a `string` feature.
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  #### tweet_qa
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  - `text`: a `string` feature.
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- - `label_str`: a `string` feature.
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  - `paragraph`: a `string` feature.
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  - `question`: a `string` feature.
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  #### tweet_intimacy
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  - `text`: a `string` feature.
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- - `label_float`: a `float` feature.
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  #### tweet_similarity
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  - `text_1`: a `string` feature.
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  - `text_2`: a `string` feature.
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- - `label_float`: a `float` feature.
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  #### tempo_wic
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- - `label_binary`: a `int` feature.
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- - `id`: a `string` feature.
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  - `word`: a `string` feature.
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  - `text_1`: a `string` feature.
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  - `text_tokenized_1`: a list of `string` feature.
 
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  #### tweet_topic
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  - `text`: a `string` feature.
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+ - `gold_label_list`: a list of `string` feature.
 
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  - `date`: a `string` feature.
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  #### tweet_ner7
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  - `text`: a `string` feature.
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  - `text_tokenized`: a list of `string` feature.
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+ - `gold_label_sequence`: a list of `string` feature.
 
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  - `date`: a `string` feature.
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  #### tweet_qa
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  - `text`: a `string` feature.
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+ - `gold_label_str`: a `string` feature.
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  - `paragraph`: a `string` feature.
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  - `question`: a `string` feature.
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  #### tweet_intimacy
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  - `text`: a `string` feature.
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+ - `gold_score`: a `float` feature.
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  #### tweet_similarity
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  - `text_1`: a `string` feature.
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  - `text_2`: a `string` feature.
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+ - `gold_score`: a `float` feature.
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  #### tempo_wic
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+ - `gold_label_binary`: a `int` feature.
 
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  - `word`: a `string` feature.
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  - `text_1`: a `string` feature.
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  - `text_tokenized_1`: a list of `string` feature.
process/tweet_ner.py CHANGED
@@ -7,7 +7,6 @@ data = load_dataset("tner/tweetner7")
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  def process(tmp):
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- tmp.pop("label_name")
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  tmp = [i.to_dict() for _, i in tmp.iterrows()]
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  for i in tmp:
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  i.pop("id")
 
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  def process(tmp):
 
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  tmp = [i.to_dict() for _, i in tmp.iterrows()]
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  for i in tmp:
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  i.pop("id")