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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<n<1M
ArXiv:
Tags:
super_tweet_eval
tweet_eval
natural language understanding
Libraries:
Datasets
pandas
Croissant
License:
Dataset card Viewer Files Community
1
antypasd commited on
Commit
67978db
•
1 Parent(s): 3469cdc

reintroduced date in wic

Browse files
Files changed (5) hide show
  1. data/tempo_wic/test.jsonl +2 -2
  2. data/tempo_wic/train.jsonl +2 -2
  3. data/tempo_wic/validation.jsonl +2 -2
  4. get_stats.py +4 -4
  5. process/tempo_wic.py +0 -2
data/tempo_wic/test.jsonl CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:43384545179dbca5e522d101283c05fb8b54a539a9e71f7eb60409370e4a8382
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data/tempo_wic/train.jsonl CHANGED
@@ -1,3 +1,3 @@
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data/tempo_wic/validation.jsonl CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:25d352a9557863af5700bb6ff01efd52a44415abafb358388dcc49330eaa611a
3
+ size 362990
get_stats.py CHANGED
@@ -8,10 +8,10 @@ task_description = {
8
  'tweet_qa': "generation",
9
  'tweet_similarity': "regression on two texts",
10
  'tweet_topic': "multi-label classification",
11
- "tempo_wic": "binary classification on two texts"
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- "tweet_sentiment": "ABSA on a five-point scale"
13
- "tweet_hate": "multi-class classification"
14
- "tweet_emoji": "multi-class classification"
15
  "tweet_nerd": "binary classification"
16
  }
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  for task in task_description.keys():
 
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  'tweet_qa': "generation",
9
  'tweet_similarity': "regression on two texts",
10
  'tweet_topic': "multi-label classification",
11
+ "tempo_wic": "binary classification on two texts",
12
+ "tweet_sentiment": "ABSA on a five-point scale",
13
+ "tweet_hate": "multi-class classification",
14
+ "tweet_emoji": "multi-class classification",
15
  "tweet_nerd": "binary classification"
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  }
17
  for task in task_description.keys():
process/tempo_wic.py CHANGED
@@ -34,8 +34,6 @@ for s in ['train', 'validation', 'test']:
34
  # tmp.pop("text_end_1")
35
  # tmp.pop("text_start_2")
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  # tmp.pop("text_end_2")
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- tmp.pop("date_1")
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- tmp.pop("date_2")
39
  data_jl.append(tmp)
40
 
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  with open(f"data/tempo_wic/{s}.jsonl", "w") as f:
 
34
  # tmp.pop("text_end_1")
35
  # tmp.pop("text_start_2")
36
  # tmp.pop("text_end_2")
 
 
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  data_jl.append(tmp)
38
 
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  with open(f"data/tempo_wic/{s}.jsonl", "w") as f: