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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
antypasd commited on
Commit
bde3126
•
1 Parent(s): 5182320

updated README, evaluation

Browse files
Files changed (21) hide show
  1. README.md +28 -36
  2. data/tweet_emoji/test.jsonl +2 -2
  3. data/tweet_emoji/train.jsonl +2 -2
  4. data/tweet_emoji/validation.jsonl +2 -2
  5. evaluation/README.txt +12 -0
  6. evaluation/dummy_predictions/tempo-wic.txt +1472 -0
  7. evaluation/dummy_predictions/tweet-emoji.txt +0 -0
  8. evaluation/dummy_predictions/tweet-emotion.txt +3259 -0
  9. evaluation/dummy_predictions/tweet-hate.txt +1433 -0
  10. evaluation/dummy_predictions/tweet-intimacy.txt +396 -0
  11. evaluation/dummy_predictions/tweet-ner7.txt +0 -0
  12. evaluation/dummy_predictions/tweet-nerd.txt +407 -0
  13. evaluation/dummy_predictions/tweet-qa.txt +1203 -0
  14. evaluation/dummy_predictions/tweet-qg.txt +1203 -0
  15. evaluation/dummy_predictions/tweet-sentiment.txt +0 -0
  16. evaluation/dummy_predictions/tweet-similarity.txt +450 -0
  17. evaluation/dummy_predictions/tweet-topic.txt +1679 -0
  18. evaluation.py → evaluation/evaluation.py +24 -11
  19. requirements.txt → evaluation/requirements.txt +0 -0
  20. evaluation/scores.json +27 -0
  21. super_tweeteval.py +2 -1
README.md CHANGED
@@ -43,18 +43,18 @@ All tasks provide custom training, validation and test splits.
43
 
44
  | **task** | **dataset** | **load dataset** | **description** | **number of instances** |
45
  |----------------------------|----------------|------------------|------------------------------------|-------------------------|
46
- | Topic Classification | TWEETTOPIC | tweet_topic | multi-label classification | 4,585 / 573 / 1,679 |
47
- | NER | TWEETNER7 | tweet_ner7 | sequence labeling | 4,616 / 576 / 2,807 |
48
- | Question Answering | TWEETQA | tweet_qa | generation | 9,489 / 1,086 / 1,203 |
49
- | Question Generation | TWEETQG | tweet_qg | generation | 9,489 / 1,086 / 1,203 |
50
- | Intimacy Analysis | TWEETINTIMACY | tweet_intimacy | regression on a single text | 1,191 / 396 / 396 |
51
- | Tweet Similarity | TWEETSIM | tweet_similarity | regression on two texts | 450 / 100 / 450 |
52
- | Meaning Shift Detection | TEMPOWIC | tempo_wic | binary classification on two texts | 1,427 / 395 / 1,472 |
53
- | Hate Speech Detection | TWEETHATE | tweet_hate | multi-class classification | 5,019 / 716 / 1,433 |
54
- | Emoji Classification | TWEETEMOJI100 | tweet_emoji | multi-class classification | 50,000 / 5,000 / 50,000 |
55
- | Sentiment Classification | TWEETSENTIMENT | tweet_sentiment | ABSA on a five-pointscale | 26,632 / 4,000 / 12,379 |
56
- | Name Entity Disambiguation | TWEETNERD | tweet_nerd | binary classification | 20,164 / 4,100 / 20,075 |
57
- | Emotion Classification | TWEETEMOTION | tweet_emotion | multi-label classification | 6,838 / 886 / 3,259 |
58
 
59
  ## Dataset Structure
60
  ### Data Fields
@@ -112,6 +112,7 @@ In the following we present the information contained in each of the datasets.
112
  #### tweet_emoji
113
  - `gold_label`: a `int` feature.
114
  - `text`: a `string` feature.
 
115
 
116
  #### tweet_sentiment
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  - `gold_label`: a `int` feature.
@@ -133,30 +134,21 @@ In the following we present the information contained in each of the datasets.
133
 
134
 
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136
- ## Evaluation Metrics
137
- - __tweet_ner7:__ ```macro-F1```
138
-
139
- - __tweet_emotion:__ ```macro-F1```
140
-
141
- - __tweet_qg:__ ```METEOR```
142
-
143
- - __tweet_nerd:__ ```accuracy```
144
-
145
- - __tweet_sentiment:__ <code>1 - MAE<sup>M</sup> (MAE<sup>M</sup>: Macro Averaged Mean Absolute Error )</code>
146
-
147
- - __tempo_wic:__ ```accuracy```
148
-
149
- - __tweet_emoji:__ ``` accuracy at top 5 ```
150
-
151
- - __tweet_intimacy:__ ```spearman correlation```
152
-
153
- - __tweet_qa:__ ```answer-F1```
154
-
155
- - __tweet_topic:__ ```macro-F1```
156
-
157
- - __tweet_hate:__ ```combined-F1 (micro-F1 for hate/not-hate & macro-F1 for hate speech subclasses)```
158
-
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- - __tweet_similarity:__ ```spearman correlation```
160
 
161
 
162
  ## Citation Information
 
43
 
44
  | **task** | **dataset** | **load dataset** | **description** | **number of instances** |
45
  |----------------------------|----------------|------------------|------------------------------------|-------------------------|
46
+ | Topic Classification | TweetTopic | tweet_topic | multi-label classification | 4,585 / 573 / 1,679 |
47
+ | NER | TweetNER7 | tweet_ner7 | sequence labeling | 4,616 / 576 / 2,807 |
48
+ | Question Answering | TweettQA | tweet_qa | generation | 9,489 / 1,086 / 1,203 |
49
+ | Question Generation | TweetQG | tweet_qg | generation | 9,489 / 1,086 / 1,203 |
50
+ | Intimacy Analysis | TweetIntimacy | tweet_intimacy | regression on a single text | 1,191 / 396 / 396 |
51
+ | Tweet Similarity | TweetSIM | tweet_similarity | regression on two texts | 450 / 100 / 450 |
52
+ | Meaning Shift Detection | TempoWIC | tempo_wic | binary classification on two texts | 1,427 / 395 / 1,472 |
53
+ | Hate Speech Detection | TweetHate | tweet_hate | multi-class classification | 5,019 / 716 / 1,433 |
54
+ | Emoji Classification | TweetEmoji100 | tweet_emoji | multi-class classification | 50,000 / 5,000 / 50,000 |
55
+ | Sentiment Classification | TweetSentiment | tweet_sentiment | ABSA on a five-pointscale | 26,632 / 4,000 / 12,379 |
56
+ | Name Entity Disambiguation | TweetNERD | tweet_nerd | binary classification | 20,164 / 4,100 / 20,075 |
57
+ | Emotion Classification | TweetEmotion | tweet_emotion | multi-label classification | 6,838 / 886 / 3,259 |
58
 
59
  ## Dataset Structure
60
  ### Data Fields
 
112
  #### tweet_emoji
113
  - `gold_label`: a `int` feature.
114
  - `text`: a `string` feature.
115
+ - `date`: a `string` feature.
116
 
117
  #### tweet_sentiment
118
  - `gold_label`: a `int` feature.
 
134
 
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137
+ ## Evaluation metrics & models
138
+ | **dataset** | **evaluation metric** | **gold label/s** | **model card** |
139
+ |---------------- |---------------------------------------------------------------------------------------------------------------- |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |---------------- |
140
+ | TweetTopic | ```macro-F1``` | _arts\_&\_culture, business\_&\_entrepreneurs, celebrity\_&\_pop\_culture, <br />diaries\_&\_daily\_life, family, fashion\_&\_style, <br />film\_tv\_&\_video, fitness\_&\_health, food\_&\_dining, <br />gaming, learning\_&\_educational, music, <br />news\_&\_social\_concern, other\_hobbies, relationships, <br />science\_&\_technology, sports, travel\_&\_adventure, <br />youth\_&\_student\_life_ | |
141
+ | TweetNER7 | ```macro-F1``` | _B-corporation, B-creative_work, B-event, <br />B-group, B-location, B-person, <br />B-product, I-corporation, I-creative_work, <br />I-event, I-group, I-location, <br />I-person, I-product, O_ | |
142
+ | TweettQA | ```answer-F1``` | - | |
143
+ | TweetQG | ```METEOR``` | - | |
144
+ | TweetIntimacy | ```spearman correlation``` | _[1 - 5]_ | |
145
+ | TweetSIM | ```spearman correlation``` | _[0 - 5]_ | |
146
+ | TempoWIC | ```accuracy``` | _no, yes_ | |
147
+ | TweetHate | ```combined-F1```<br /> ```(micro-F1 for hate/not-hate &```<br /> ``` macro-F1 for hate speech subclasses)``` | _hate_gender, hate_race, hate_sexuality, hate_religion, hate_origin, <br />hate_disability, hate_age, not_hate_ | |
148
+ | TweetEmoji100 | ```accuracy at top 5``` | _Full emoji list: ./data/tweet_emoji/map.txt_ | |
149
+ | TweetSentiment | ```1 - MAE^M``` <br /> ```(MAE^M : Macro Averaged Mean Absolute Error)``` | _'strongly negative' , 'negative', 'negative or neutral', <br /> 'positive', 'strongly positive'_ | |
150
+ | TweetNERD | ```accuracy``` | _no, yes_ | |
151
+ | TweetEmotion | ```macro-F1``` | _anger, anticipation, disgust, fear, joy, love, optimism, <br />pessimism, sadness, surprise, trust_ | |
 
 
 
 
 
 
 
 
 
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  ## Citation Information
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evaluation/README.txt ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Evalution script (evalution.py) instructions
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+ * We provide an evaluation script that can easily calculate the scores achieved in each task, cluster and overall.
3
+ - The predictions must be in .txt format.
4
+ - All predictions files should be in the same directory and follow the naming conversions as in the "dummy_predictions" directory provided.
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+ - Each prediction file must contain the predictions made on the test set of the respective task with each line corresponding to one line.
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+ - The predictions should be written in full (e.g. 'strongly negative', instead of 0) and in cases of multiple outputs (e.g. TweetTopic) should be comma separated.
7
+
8
+ * "dummy_predictions" directory provides the prediciton files produced by the roberta-base model tested and can be used as a template.
9
+
10
+ * Steps to run the script:
11
+ 1. Install requirements.txt
12
+ 2. Run script: python evalution.py -p {directory with predictions}. e.g. python -p ./dummy_predictions
evaluation/dummy_predictions/tempo-wic.txt ADDED
@@ -0,0 +1,1472 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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2962
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2996
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2997
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2998
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2999
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3000
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3001
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3002
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3003
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3259
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evaluation/dummy_predictions/tweet-hate.txt ADDED
@@ -0,0 +1,1433 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
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evaluation/dummy_predictions/tweet-intimacy.txt ADDED
@@ -0,0 +1,396 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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119
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134
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135
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136
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137
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146
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149
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151
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153
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155
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156
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157
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160
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161
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167
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168
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169
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170
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171
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172
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173
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174
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177
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188
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190
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191
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192
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194
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195
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196
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197
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199
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200
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201
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203
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206
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207
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208
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209
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210
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211
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213
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214
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215
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216
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217
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219
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220
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222
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224
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225
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226
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227
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228
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229
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233
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236
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242
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251
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253
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269
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271
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272
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273
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274
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276
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277
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279
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280
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281
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282
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283
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287
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290
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292
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293
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294
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295
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298
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302
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305
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308
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313
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317
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318
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319
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320
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321
+ never showed up
322
+ mariah carey
323
+ brazil
324
+ brazil
325
+ golf course
326
+ jimmy fallon
327
+ donald trump
328
+ hillary clinton
329
+ hillary clinton
330
+ text dunham to 47246
331
+ dem convention
332
+ farmer downstream
333
+ loading this beast
334
+ emma watson
335
+ marchers
336
+ scared af
337
+ henrik harlaut lost pants during slopestyle
338
+ henrik harlaut lost pants during slopestyle
339
+ natural gas leaks
340
+ if we could see natural gas leaks
341
+ an elephant
342
+ john d. sutter
343
+ nap
344
+ pillow and blanket
345
+ julian louis-dreyfus
346
+ julian louis-dreyfus
347
+ to help others
348
+ everyone
349
+ republican lefties
350
+ on his money
351
+ eng
352
+ his organization
353
+ league apology
354
+ the ballon d'or
355
+ second
356
+ siria
357
+ siria
358
+ rest in peace
359
+ porto alegre
360
+ training session
361
+ slanderous
362
+ veterans
363
+ beseiged fortress
364
+ benghazi
365
+ cops
366
+ luck
367
+ luck
368
+ cops
369
+ nazis
370
+ swastika
371
+ uninvited guests
372
+ restaurants
373
+ dr pepper
374
+ he is a fan of pepper.
375
+ coke
376
+ immigrants
377
+ sitting with family
378
+ april
379
+ show
380
+ too busy pulling out pages on evolution in his kids' biology textbooks
381
+ autographed it
382
+ his stick
383
+ a young canucks fan
384
+ so he could be in front of nato group
385
+ montenegro pm
386
+ vote for romney
387
+ one
388
+ romney
389
+ romney
390
+ romney
391
+ romney
392
+ something back
393
+ lus figo
394
+ tony awards
395
+ patti lupone
396
+ mourning
397
+ america
398
+ the president
399
+ prince
400
+ prince
401
+ the patriots
402
+ the nfl
403
+ rachel nichols
404
+ an apology
405
+ wind gusts
406
+ in kenting
407
+ israel
408
+ clear-cut support
409
+ wall
410
+ continue working on outstanding issues
411
+ thanksgiving
412
+ father
413
+ two
414
+ start their holiday
415
+ a cat is out of a bag.
416
+ happy
417
+ andrew garfield
418
+ asian
419
+ a warm wind
420
+ 42 degrees celsius
421
+ yorktown
422
+ hamilton
423
+ danny granger/josh mcroberts
424
+ lebron james
425
+ google glass is being retooled
426
+ a retooled version of google
427
+ cesare prandelli
428
+ american horror story
429
+ kill me
430
+ trying to kill me
431
+ lfc
432
+ saturday
433
+ anfield
434
+ lfc
435
+ saturday
436
+ shoreham
437
+ shoreham air show
438
+ liberty island
439
+ civilians
440
+ solange
441
+ upload the audio to that elevator fight feat.
442
+ fergie's
443
+ milf money
444
+ john glenn and annie
445
+ glenn
446
+ ariannahuff
447
+ because she is a dog who wrongfully comments on him.
448
+ yes
449
+ yes
450
+ deleting tweets
451
+ shameful
452
+ tweets
453
+ tHC
454
+ 2.71 inches
455
+ 3 inches
456
+ as soon as tuesday
457
+ in vegas
458
+ 2 hours
459
+ trafalgar square bookstore
460
+ mars
461
+ a man with no legs
462
+ legs
463
+ pac
464
+ cradled in her heart for eternity
465
+ no
466
+ a brave and right decision
467
+ mlb
468
+ confident
469
+ jedezal
470
+ he has a new tattoo.
471
+ trailer
472
+ a big screen
473
+ $125
474
+ their family's initials
475
+ veterinarian
476
+ switzerland
477
+ barf bag
478
+ kim kardashian
479
+ og crew
480
+ one
481
+ in honor of leonard nimoy
482
+ generations of scientists and engineers
483
+ first hockey contract
484
+ flapanterns
485
+ heart
486
+ mixed
487
+ it's hot
488
+ half brother
489
+ evacuated passengers
490
+ at travelers beach hotel
491
+ at travelers beach hotel
492
+ cs nkaisserry & ps ambjuma
493
+ unpredictable
494
+ unpredictable
495
+ anaconda
496
+ choreo and vid
497
+ express support
498
+ they appreciate it
499
+ jeb bush
500
+ special interest
501
+ us
502
+ je suis charlie
503
+ cpd
504
+ 970
505
+ hilary clinton's gold and white logo
506
+ 2015-04-12
507
+ mtv
508
+ 2015
509
+ mtv
510
+ you never monkey with the truth.
511
+ ben bradlee
512
+ the truth
513
+ ben bradlee
514
+ misunderstood
515
+ a specific tweet
516
+ 74
517
+ muhammad ali
518
+ lesdoggg
519
+ passed
520
+ sony pictures
521
+ steve israel
522
+ a new type enter a us fleet
523
+ 787
524
+ bachelor finale
525
+ last night's bachelor finale
526
+ amazon and icloud
527
+ fans
528
+ beyonce
529
+ three
530
+ 20
531
+ the notorious b.i.g.
532
+ always
533
+ she's still gonna be pretty private.
534
+ the democratic
535
+ shutdown
536
+ at a time we need it most
537
+ january 30, 2014
538
+ #homesweethome
539
+ bullying
540
+ laverne cox
541
+ jeff flake
542
+ stan freberg
543
+ stan freberg
544
+ 269
545
+ fc barcelona
546
+ kris jenner
547
+ kris jenner
548
+ apple
549
+ make the biggest, coolest, sexiest, funnest movie ever
550
+ gwenstefani
551
+ whoever did her face
552
+ lost contact of mh17
553
+ from amsterdam
554
+ three us presidents
555
+ three
556
+ go black
557
+ dean
558
+ posting extra hard on instagram
559
+ posting extra hard
560
+ shooting
561
+ charlotte
562
+ to be you
563
+ cars
564
+ a family to feed
565
+ their privilege
566
+ barbie
567
+ buy her daughter a barbie
568
+ kat graham and dshippjr
569
+ code
570
+ STEM
571
+ like a king
572
+ justin bieber
573
+ check the forecast
574
+ i-24 in ky
575
+ rakim kake krs chuck cube jaz e
576
+ all the people that have inspired him
577
+ buzzfeed team
578
+ buzzfeed team
579
+ buzzfeed
580
+ an amazing november
581
+ delusion
582
+ ted cruz
583
+ passive aggressiveness
584
+ her daughter
585
+ vegas
586
+ dwyane wade
587
+ ffwmaneevent supporters
588
+ fvwmane event
589
+ before
590
+ #fvwmaneevent
591
+ disappointed
592
+ rickie fowler PGA
593
+ dur'g maid testimony
594
+ can not conclude bc you saw a gun at residence
595
+ the tony awards press room
596
+ thanking people
597
+ twice as good
598
+ half as much
599
+ tears
600
+ george
601
+ super bowl 47
602
+ 47
603
+ acoustic guitar
604
+ lady gaga
605
+ core mission
606
+ today
607
+ the sc championship game
608
+ jim mcelwain
609
+ wash mystics
610
+ chicago
611
+ bulls fans
612
+ the st louis blues camp
613
+ a stanley cup
614
+ passed away
615
+ all
616
+ win the arc
617
+ france galop
618
+ yuichi fukunaga
619
+ kuzma
620
+ vote their conscience
621
+ hilary clinton
622
+ pep talk from the hanson brothers
623
+ pep talk from the hanson brothers.
624
+ the hanson brothers
625
+ johnstown, pa
626
+ tsarnaev
627
+ rolling stone
628
+ nepal
629
+ find more information
630
+ marcus morris
631
+ kurt helin
632
+ kaley cuoco
633
+ long ago
634
+ sergey_bubka
635
+ scenes in kiev
636
+ bringing a son into this world
637
+ bringing a son into this world
638
+ blue
639
+ sen. murkowski
640
+ bill murray
641
+ x's victory
642
+ x
643
+ bill murray
644
+ in trump's jock
645
+ socks
646
+ chiraq
647
+ because it was sexualizing and making a comedy out of gun violence.
648
+ lesdoggg
649
+ arrested and prosecuted
650
+ all
651
+ death
652
+ 40 pounds
653
+ 40 pounds
654
+ chris martin
655
+ getting divorced
656
+ insufferable similarities
657
+ 10 minutes
658
+ the bachelorette finale
659
+ thursday
660
+ midnight
661
+ president
662
+ russia
663
+ russia
664
+ #charliehebdo
665
+ andrew lesnie
666
+ humor and love
667
+ only coaches in major college or pro sports to win 10 titles.
668
+ george auriemma
669
+ to dunkin donuts
670
+ starbucks
671
+ hassan rouhani
672
+ second term
673
+ extratv
674
+ cheese baby
675
+ pregnancy
676
+ ia
677
+ van
678
+ heat
679
+ model
680
+ california
681
+ change
682
+ that the bill would benefit the wealthy over the middle class
683
+ hawaii
684
+ hawaii
685
+ reporting them
686
+ rape
687
+ google
688
+ best designer
689
+ 4-3-3
690
+ 4-3-3
691
+ j klinsmann
692
+ j klinsmann
693
+ his district
694
+ john lewis
695
+ mike munchak
696
+ 5 hours
697
+ copper breaks
698
+ grasshoppers and beetles
699
+ raven gates
700
+ raven gates09
701
+ subway rides and bowling alley
702
+ footseps
703
+ political events
704
+ ides of march
705
+ a neighbor
706
+ 7k miles
707
+ in homage
708
+ superbowl and halftime show
709
+ william and harry
710
+ prince of wales
711
+ prince of wales
712
+ william and harry
713
+ police "don't ask if you're black or white. they just come to
714
+ police don't ask if you're black or white.
715
+ himself and obama
716
+ racism
717
+ hijacking
718
+ ethiopian airlines flight 702
719
+ a personal friend
720
+ rance howard
721
+ luis garcia abad
722
+ lunch time
723
+ skin of the person who killed me
724
+ under my fingernails
725
+ crying
726
+ tear gas and water canons
727
+ nazem kadri
728
+ cross-check
729
+ hungarian
730
+ tom and jerry
731
+ charlottesville
732
+ unite the country
733
+ good sex
734
+ she's sorry
735
+ she is sorry about that.
736
+ pittsburg
737
+ new york slough
738
+ goalless
739
+ fc shakhtar
740
+ on the phone
741
+ in july
742
+ no
743
+ dACA
744
+ wall
745
+ pregnant
746
+ pictures
747
+ movie going experience
748
+ a movie theatre
749
+ as much as possible
750
+ meaningful things
751
+ emotional
752
+ he's hectoring and yelling at me
753
+ hectoring and yelling at me
754
+ syrian envoy to the nsc
755
+ fallujah, iraq
756
+ iraqi pm
757
+ fallujah, iraq
758
+ miss seeing u two
759
+ in a movie
760
+ paid
761
+ paid paternity leave
762
+ mama june
763
+ introducing the new me
764
+ raise your hand
765
+ academia
766
+ yes
767
+ the sands hotel in vegas
768
+ be there
769
+ 3 republicans and 48 democratic
770
+ joe biden
771
+ paul ryan
772
+ adidas
773
+ #photooftheday
774
+ 1.5m
775
+ obese
776
+ addicts to drugs and alcohol
777
+ the beatles
778
+ after the sing premiere
779
+ portraits/art, headline or intro
780
+ janet mock
781
+ grace lee whitney
782
+ grace lee whitney
783
+ new george michael single
784
+ george michael
785
+ after the fantasy draft
786
+ honda
787
+ smiled
788
+ the hollywood bowl
789
+ the browns
790
+ colin kaepernick
791
+ ruby rose
792
+ social media
793
+ the new york rangers
794
+ tbay
795
+ gym
796
+ motion
797
+ senator john maccain
798
+ senjohn mccain
799
+ gaby amarantos
800
+ tottustu
801
+ ciaara
802
+ baby future
803
+ loss of life
804
+ attack
805
+ zordon
806
+ powerrangers
807
+ nicky
808
+ for his and many others safety
809
+ nigerians
810
+ #malalafund
811
+ he tweets about his favorite senator
812
+ tweets
813
+ false news
814
+ adam
815
+ great
816
+ beautiful picture
817
+ mohammed bin zayed
818
+ ministers
819
+ spirit of change and progress
820
+ new ministers
821
+ lakers
822
+ 2018
823
+ la
824
+ basketball
825
+ pacers and clippers
826
+ lorde
827
+ snl
828
+ she feels like she has never/will never
829
+ alan rickman
830
+ funny and engaging
831
+ dana harper music
832
+ 11
833
+ greg schiano
834
+ three
835
+ death row records
836
+ beats by dre
837
+ beats by dre
838
+ joseph fiennes
839
+ james bond
840
+ because it is a waste of money.
841
+ the house of representatives
842
+ 66-57
843
+ flint
844
+ political statements and finger pointing
845
+ long shirts
846
+ talk
847
+ mama
848
+ tapping
849
+ sticky
850
+ aaron schwarzenegger
851
+ swamped
852
+ 6 months
853
+ legalize dACA
854
+ beyonce
855
+ the super bowl
856
+ black
857
+ american
858
+ how to sit like a lady
859
+ missamerica
860
+ south korean president moon jae-in
861
+ pyeongchang 2018
862
+ the emma
863
+ a sex addict
864
+ sad
865
+ exclamation points
866
+ strongly
867
+ twitter
868
+ in heaven
869
+ little jimmy dickens
870
+ pickin and grinnin
871
+ in heaven
872
+ less qualified
873
+ coal country
874
+ oliver sacks
875
+ beautiful minerals
876
+ bearcam
877
+ bearcam
878
+ exploreorg
879
+ music
880
+ the voice
881
+ cavs
882
+ hidden fences
883
+ pharrell
884
+ nasa and/or fort meade public affairs
885
+ comey
886
+ confidence
887
+ beliebers
888
+ van gaal
889
+ united
890
+ arsene wenger
891
+ this summer
892
+ voter fraud
893
+ voter fraud
894
+ incredible progress
895
+ kevin hart
896
+ google maps
897
+ pacman
898
+ world sport
899
+ yes
900
+ her/him
901
+ 5 minutes
902
+ soccer
903
+ soccer
904
+ every 5 minutes
905
+ ed sheeran
906
+ ed sheeran
907
+ the shark
908
+ ed sheeran
909
+ hats
910
+ pharrell hat
911
+ alex gavan
912
+ search and rescue victims through huge debris area
913
+ he was effortlessly golden
914
+ rippaul walker
915
+ rippaul walker
916
+ effortlessly golden
917
+ rippaul walker
918
+ golden
919
+ florida gators
920
+ a nephew and Barrett sallee
921
+ measured and inclusive
922
+ michael chertoff
923
+ measured and inclusive
924
+ michael chertoff
925
+ 2:30am
926
+ jfk
927
+ every article he's read about it
928
+ tuesday
929
+ being shocked he won
930
+ they say it was surprising.
931
+ a million
932
+ under a boulder
933
+ philae
934
+ chester bennington's passing
935
+ chester bennington
936
+ cousins
937
+ 4 boys, cousins
938
+ gaza beach
939
+ she loves the pictures
940
+ @si_swimsuit
941
+ mesiah
942
+ mesiah
943
+ an interview and a major photo shoot
944
+ genesis
945
+ bruce jener
946
+ luis figo
947
+ finland
948
+ joseph fiennes
949
+ jelena
950
+ selena gomez
951
+ lavar ball
952
+ charles barkley
953
+ religion
954
+ yaya toure
955
+ death
956
+ selling cigarettes
957
+ rsd jelen
958
+ julienblanc
959
+ many scenes out of the book
960
+ 50 shades
961
+ earthquake
962
+ this morning
963
+ poland
964
+ pacman
965
+ highway
966
+ btwn btwn btwn btw
967
+ he started to run for president
968
+ c cruz
969
+ section 5 public order act
970
+ at bristol magistrates court
971
+ colin kazim-richards
972
+ section 5 public order act
973
+ marche republicaine
974
+ je suis charlie
975
+ houston
976
+ $500,000
977
+ brain
978
+ human rights issues
979
+ p!nk's face during christina aguilera'
980
+ christina guilera
981
+ will smith
982
+ new orleans
983
+ tesco's bouncy aisles
984
+ bouncy aisles
985
+ yale
986
+ removing pane of slaves picking cotton
987
+ germany and ghana
988
+ rand paul
989
+ for the good of the party
990
+ 0
991
+ 2022
992
+ 2022
993
+ late-novel/late-december
994
+ late november/late dc
995
+ 2022
996
+ 97
997
+ you don't drink do you?
998
+ the cops
999
+ cops
1000
+ fabricate
1001
+ humor, talent, and capacity to love
1002
+ brother
1003
+ listens carefully to the concerns of the people
1004
+ annulment process
1005
+ francis
1006
+ made their own
1007
+ okay
1008
+ bowling alley
1009
+ she is taking a different angle.
1010
+ mel tillis
1011
+ good luck with this guys
1012
+ cantor
1013
+ the knicks
1014
+ center
1015
+ germany
1016
+ underpants
1017
+ a blond
1018
+ university of washington
1019
+ anakocovic
1020
+ people
1021
+ stuck on the runway
1022
+ they are throwing them a pizza party.
1023
+ anti-racist with humour
1024
+ a racist character
1025
+ racial and religious groups
1026
+ tv show
1027
+ abortion
1028
+ openly heterosexual
1029
+ matt damon
1030
+ pence
1031
+ it isn't feasible
1032
+ pushed his head down in a car towards his exposed penis
1033
+ james franco
1034
+ that they have to be aware
1035
+ classy
1036
+ #rubertsfault
1037
+ christian
1038
+ 10pm
1039
+ the fake news
1040
+ press the wrong button
1041
+ man
1042
+ march 15th
1043
+ mike porcaro
1044
+ it's okay if it made you laugh.
1045
+ power
1046
+ meryl
1047
+ take her seat
1048
+ his spouse and kids
1049
+ ted cruz
1050
+ it's not acceptable to attack anyone's spouse or anyone's kids
1051
+ since 2007
1052
+ letterman
1053
+ dial
1054
+ take over
1055
+ the twitter challenge
1056
+ black holes merging into one
1057
+ orange team has reactivated the power and sent the power turning
1058
+ orange
1059
+ white supremacists
1060
+ the president
1061
+ before they die
1062
+ reporters
1063
+ memes
1064
+ lady gaga's Oscars look
1065
+ my children
1066
+ venomous
1067
+ fia16
1068
+ a380
1069
+ we do exactly what they say
1070
+ terrorists
1071
+ empire fox finale
1072
+ finale
1073
+ stay safe and stay warm.
1074
+ tomorrow
1075
+ everybody
1076
+ consciously thinking
1077
+ cnn sport
1078
+ senate majlr mcconnell
1079
+ 7 years
1080
+ cindy mannings
1081
+ rahman suspects
1082
+ facebook
1083
+ facebook down
1084
+ great healthcare plan
1085
+ a great healthcare plan
1086
+ worry
1087
+ the toffs
1088
+ transparency
1089
+ a tweet is not there.
1090
+ new york pc
1091
+ officer brian moore
1092
+ 200
1093
+ act on climate
1094
+ leonard
1095
+ millions
1096
+ lebron james
1097
+ chris broussard
1098
+ english and spanish
1099
+ Sophie cruz
1100
+ a dog
1101
+ betty willis
1102
+ visual fabric
1103
+ promoting
1104
+ media attention
1105
+ jessica lang
1106
+ bruce jenner
1107
+ across the globe
1108
+ laughter
1109
+ get out and vote
1110
+ he learned that jon ossoff is running for congress in georgi
1111
+ facebook
1112
+ bbc reports
1113
+ sorority
1114
+ she likes it.
1115
+ ted cruz
1116
+ donald trump
1117
+ too busy worrying about the controllers strike.
1118
+ airport
1119
+ netanyahu's
1120
+ for his speech to congress
1121
+ a cake
1122
+ a grilled chicken
1123
+ a cake
1124
+ september 24, 2014
1125
+ nine matches
1126
+ four months
1127
+ beta awards
1128
+ right now
1129
+ pakistan
1130
+ navy SEALS
1131
+ 15 years
1132
+ the united states
1133
+ kellan lutz and anakenrick47
1134
+ ship them
1135
+ sam tageson
1136
+ what you have
1137
+ his loved ones
1138
+ messages of support, love and encouragement
1139
+ pratt
1140
+ spielberg
1141
+ a partisan who takes the other side seriously
1142
+ grand slam
1143
+ netflix
1144
+ how to get away with murder
1145
+ dallas police shooting
1146
+ obama
1147
+ katie holmes' golden pants
1148
+ katie holmes
1149
+ Corey menafee
1150
+ Corey menafee
1151
+ the us chamber
1152
+ better and stronger trade deals
1153
+ flint
1154
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1155
+ february
1156
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1157
+ the bachelor producers
1158
+ a democrat
1159
+ he is a jackass.
1160
+ my rapist
1161
+ hollywood/media
1162
+ tomi lahren
1163
+ obamacare
1164
+ female
1165
+ female
1166
+ cup holders in movie theater seats
1167
+ movie theater seats
1168
+ impeachment of donald trump
1169
+ plays racist calls
1170
+ murray
1171
+ dimitrov
1172
+ paul walkerfdn
1173
+ paul walker fdn
1174
+ ebola, marburg, lassa, ccf, RV
1175
+ wilmington bsl4 lab
1176
+ kampala serena
1177
+ solar power
1178
+ tuesday
1179
+ all humanity
1180
+ the wheel of fortune
1181
+ plane
1182
+ vanished
1183
+ it's crazy
1184
+ people
1185
+ hard but liberating
1186
+ watch the evening news
1187
+ south africa
1188
+ every praise
1189
+ michael brown
1190
+ the movement house
1191
+ farmers
1192
+ plowing up dirt
1193
+ creme eggs
1194
+ kim kardashian pierced her daughters ears
1195
+ kim kardashian
1196
+ jimmy bieber
1197
+ myspace
1198
+ margot
1199
+ hittingchbot
1200
+ the national weather service map
1201
+ to serve something more important than himself
1202
+ john mccain
1203
+ a bit player in the story of america
evaluation/dummy_predictions/tweet-qg.txt ADDED
@@ -0,0 +1,1203 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ what is the name of the vine?
2
+ how many years in 5 seconds?
3
+ how many years in 5 seconds?
4
+ how long is the tweet?
5
+ who removed the aircraft from service?
6
+ what is the aircraft removed from service for?
7
+ what is candyce crying about?
8
+ what is the movie about?
9
+ what does perrieele give perrieele?
10
+ who is back?
11
+ when is the evacuation scheduled to be completed?
12
+ how many people have been evacuated from aleppo?
13
+ who is zach lowe?
14
+ what is zach lowe implying?
15
+ what virus is being discussed?
16
+ when did the person not get sick?
17
+ how many people are in the us?
18
+ how many prisons does the united states have?
19
+ where are the agents from portland sent?
20
+ where are the agents from?
21
+ who is chris cillizza of?
22
+ what does moron hate?
23
+ who had to use sideburns, a mullet and a taxi cab
24
+ what did jeff gordon use for test drive 2?
25
+ what is the tweet not visible?
26
+ what is the tweet not visible?
27
+ what show did donald trump watch last night?
28
+ who watched parts of nbcsnl Saturday night live?
29
+ where is it in america?
30
+ what is the grandfather doing in south carolina?
31
+ who could easily solve this problem?
32
+ where did loe and kate meet?
33
+ where did they fall in love?
34
+ where did the fans attend the defeat?
35
+ what was offered to the fans who attended the defeat at seattle?
36
+ who is the tweet from?
37
+ how many portraits are there?
38
+ what is the white house?
39
+ what is a shame?
40
+ what are the croatian police waiting for?
41
+ where is the border?
42
+ who does lost lettermen wish they had something poignant to say about?
43
+ who did the apology say took offense?
44
+ what did the apology say?
45
+ why did the apology express regret?
46
+ who does farrah franklin hate?
47
+ what kind of media does farrah hate?
48
+ what has atletico lost?
49
+ who is falling behind improving rivals?
50
+ who is standing in defence of immigrants?
51
+ what are the durbanites standing in defence of?
52
+ where is the world hickory championship being held?
53
+ where is the world hickory championship being supported?
54
+ what is hitting john d. sutter's face like snow?
55
+ what is the tulip seeds hitting john's face like?
56
+ where was the treasure hunter arrested?
57
+ who arrested the fugitive treasure hunter?
58
+ what was a great honor until you showed up?
59
+ where was a great honor until you showed up?
60
+ how long ago did clem bessade tweet about bring back our girls?
61
+ what hashtag is being used?
62
+ who should boycott the oscars?
63
+ what is chris rock boycotting?
64
+ who is the tweeter referring to?
65
+ who is the lb who is accused of alleged comments?
66
+ what does anomaly rho esq want her mama to
67
+ who died?
68
+ what happened to paul walker?
69
+ what movie is mary j. blige saddened by?
70
+ what happened to paul walker?
71
+ what is paul walker's personality?
72
+ what does capoeira MMA want to know about people praying?
73
+ who is asking if people are praying every day?
74
+ what does joseph o'brien need?
75
+ what did the australian horse see coming towards him?
76
+ who is donald trump asking what he can do to help?
77
+ where is donald trump from?
78
+ who died this morning?
79
+ who was roger rees?
80
+ what is the future of?
81
+ what will be brought back?
82
+ what are you consigning?
83
+ who is consigning kkk jokes?
84
+ who directed this biopic?
85
+ what is the name of the biopic?
86
+ what should eva g l do?
87
+ who is eva gl upset with?
88
+ who is senator rand paul agreeing with?
89
+ who did donald trump say had reported incidental contacts with?
90
+ who is delighted by the news?
91
+ who is expecting a baby?
92
+ what does jimmy think of the story?
93
+ what newspaper is the story from?
94
+ who is the black man?
95
+ what number of guns does a black man have?
96
+ who will be missed?
97
+ what is potus doing?
98
+ what might happen to angela lansbury?
99
+ who was artie langle sorry to hear about?
100
+ who is artie langle sorry to hear about?
101
+ who is angry that so many obama democrats voted for donal
102
+ what is the democrats angry about?
103
+ how long did lz granderson report?
104
+ what did lz granderson believe pOTUS won?
105
+ what show is jon stewart a long-time host of?
106
+ what league is this article in?
107
+ what group is the final standings for?
108
+ how late is the final standings for group b?
109
+ what group is the final standings for?
110
+ what did everyone want?
111
+ who got married yesterday?
112
+ what happened yesterday?
113
+ where is the pope?
114
+ how many photos has chris denshuick been in?
115
+ who made a huge impact everywhere?
116
+ what does he think of jacob lescenskii?
117
+ who is standing up with her slurpee up?
118
+ what is beyonce standing with?
119
+ what website is being discussed?
120
+ how much chance does king james return to cavs?
121
+ what did people fleeing do?
122
+ where did people fleeing intensified fighting in mosul head?
123
+ where is the team working?
124
+ how many dead bodies were received?
125
+ what does ryan broderick want to kill katy?
126
+ who is ryan broderick asking to kill?
127
+ who is zahir's mother waiting to see?
128
+ what does zahir's mother give to the girls?
129
+ what does zahir's mother wait for?
130
+ what are they delighted to confirm?
131
+ how can you get to know the new owners and management team?
132
+ who is the new owner of the car?
133
+ why does donald trump not know why?
134
+ who does donald trump feel sorry for?
135
+ who will not attend the inauguration of donald trump?
136
+ who does yvette d. clarke insult?
137
+ who is being attacked?
138
+ why are attacks on potus ridiculous?
139
+ what does rand paul want to do?
140
+ how much time does rand paul want to spend voting in the senate?
141
+ why did the khans thank the nc in phl?
142
+ who did suhaib webb say he was grateful for?
143
+ what does marty hope to show drake?
144
+ where is drake coming to?
145
+ who is the tweet about?
146
+ what has the tweet been doing for too long?
147
+ who can nba nba cousins do a little
148
+ who can do a little bit of everything for the sacramento king
149
+ who is dr. trump tweeting about?
150
+ what is iran doing?
151
+ what is tsarnaev reading?
152
+ who is granit xhaka confident will beat honduras?
153
+ who will switzerland beat?
154
+ how many nations are out of the world cup?
155
+ what team is out of the world cup?
156
+ who broke down talking about their loved ones during the orlando's pulse nightclub
157
+ where did wilmariel and jason meet?
158
+ who is chester bennington praying for?
159
+ who was a legend?
160
+ what did pepe reina and xabi alonso enjoy the solar eclipse with
161
+ what kind of eclipse is being enjoyed?
162
+ what does donald trump want to do?
163
+ what event is marcia l. fudge not attending?
164
+ where will marcia l. fudge be at home?
165
+ who will throw out the first pitch?
166
+ what is the offer for fans donating animal food/toy?
167
+ who is lebron james' favorite player?
168
+ what game is lebron james watching?
169
+ what year is the house in?
170
+ who are the current favorites to pick up the house in 2018?
171
+ what religion does jada pinkett smith not belong to?
172
+ where has jada pinkett smith prayed?
173
+ who is being criticized?
174
+ what is the author recommending for people who are judging women?
175
+ how far away can multiple devices be recharged?
176
+ who approved the first wireless, "power-at-a-distance" charging technology
177
+ what does no one prepare you for?
178
+ who is gone?
179
+ who is elizabeth banks buying tix for?
180
+ what movie is elizabeth banks buying her tix for?
181
+ what is grace van der waal performing?
182
+ who has not spoken to roger in a long time?
183
+ what should we ask before bombing syria?
184
+ what does a brief bombing campaign make us feel?
185
+ where is the winter storm warning going strong?
186
+ what is the weather warning for?
187
+ who did mya call at a sleepover?
188
+ who ran the phone bill up?
189
+ who will steal the next deadpool movie?
190
+ what movie is domino stealing?
191
+ what is the third one trying to tie up?
192
+ what is the third one trying to tie up?
193
+ who does sadie abood thank for not choosing what they get served?
194
+ why did the white house put sanctions in place?
195
+ what did the white house put in place to get a diplomatic resolution?
196
+ who tried to break racial barriers?
197
+ what did the delegates hold up?
198
+ what is being discussed at COP22?
199
+ where is the climate action being held?
200
+ what are the globe and delegates holding up solar lanterns in honor of?
201
+ what command is the force operating under?
202
+ what are the iraqi forces working on?
203
+ who is being talked about?
204
+ who is talking about selling their company?
205
+ what show did nathan ryan tweet about?
206
+ what does beyonce say about the superbowl?
207
+ what message does the new pope have?
208
+ what does the message of basic human decency translate into?
209
+ what message does the new pope have?
210
+ what did he do with his friends?
211
+ how long is the redstate gathering?
212
+ what event is being discussed?
213
+ who was the person who passed away?
214
+ who is celebrating?
215
+ who has everyone seen?
216
+ who is the person who lost to grease live?
217
+ what awards did beyonce win?
218
+ who doesn't know the identity of the creator of the show she's reviewing?
219
+ who is the creator of the show?
220
+ what did he tweet about the movie?
221
+ who was the protester?
222
+ what did the protester give the cop?
223
+ why was he inspired by ijesse williams speech?
224
+ who was he inspired by?
225
+ who is going to ask you a very important question tomorrow morning?
226
+ who is going to ask you a very important question tomorrow morning?
227
+ when is jonathan going to ask you all a very important question?
228
+ what is madeone of the pioneers?
229
+ what did joan nethea say was the reason for her tweet?
230
+ what year is the snow blitz?
231
+ where is the snow blitz?
232
+ who must become the next president of the united states?
233
+ where is hillary clinton?
234
+ who got married?
235
+ where did david burtka and neil harris get married?
236
+ what did david burtka and neil do over the weekend?
237
+ where did david burtka and neil harris get married?
238
+ what team is phillips trading from?
239
+ what will cin pay?
240
+ where did dale bumps die?
241
+ when was what3words posted?
242
+ how many words are used to address favelas?
243
+ what does mia farrow think the obamas represent?
244
+ who is mia farrow going to miss?
245
+ why is cmoore asking you to watch her turn?
246
+ what website is this turn of little cmoore?
247
+ what time of day does the crickets think it is?
248
+ what did the crickets do during the solar eclipse?
249
+ who totally fabricated what donald trump said to the wife of a soldier
250
+ who is all the people looking funny in the light?
251
+ where are all the people looking funny?
252
+ what was one of the greatest honors he's had as an athlete?
253
+ who was matt saddened by?
254
+ what is not in guac?
255
+ what does president obama respect?
256
+ who is laverne cox sending love to?
257
+ what does laverne cox need to get ready for?
258
+ when was the person rescued?
259
+ where was the person rescued?
260
+ where is the secret menu?
261
+ where is the secret menu?
262
+ where is the secret menu?
263
+ when did the secret menu at mcdonald's UK come out?
264
+ what does the tweeter think?
265
+ what does mcdonalds uk not exist?
266
+ where is the secret menu?
267
+ what is being disagreed about?
268
+ who are more nuanced?
269
+ what is the reason for pools being blue?
270
+ who is comparing the finale of true blood to the finale of true blood?
271
+ what series finale was horrible?
272
+ where did big bird and baby bear go?
273
+ who has been to museum modern art before?
274
+ who is dylan waiting for?
275
+ what has gwen stefani done to?
276
+ who has done a face smear?
277
+ who asked about the restaurant receipt thing?
278
+ what did lesean mccoy ask about?
279
+ who has millions suffered?
280
+ how long is the clock still at?
281
+ what is rachel bronson's job?
282
+ what is part of the agenda to ban all abortion?
283
+ what is the reason for 20 week abortion bans?
284
+ what did trish do to her baby?
285
+ what did trish keep her baby for?
286
+ who is the observant westworld visitor?
287
+ who holds a gun to head?
288
+ what is not food?
289
+ who says cheese dust is not food?
290
+ what is the difference between comparing and reminding?
291
+ what does apple remind seth of?
292
+ who did serge ibaka lift over?
293
+ who was serge ibaka returning to?
294
+ who organized the protest in union square?
295
+ where is the protest?
296
+ what will happen to those who believe in justice and dignity?
297
+ why is he arriving in surabaya?
298
+ where is nisa going home?
299
+ what is makada a little?
300
+ what will iphones have?
301
+ where is the match being played?
302
+ what advantage did errol cnn think it was?
303
+ where did errol cnn win the match?
304
+ what does this feel like?
305
+ where does this feel like a stair master?
306
+ what does he think of the stairs?
307
+ who played a key role in the super bowl run?
308
+ who played backup quarterbacks in the super bowl run?
309
+ who is the person who ignored barricade?
310
+ how many cops pounce on the protester?
311
+ who brought in the immigrants?
312
+ how long have they been in our country?
313
+ what has been accomplished?
314
+ what program is bigelow aerospace involved in?
315
+ who is the author of the tweet?
316
+ who is the author of the tweet?
317
+ what have they communicated this on?
318
+ who is the subject of the tweet?
319
+ who did narendra modi talk with earlier in the evening?
320
+ what did nawaz sharif share?
321
+ what did mariah carey do in high school?
322
+ who was nicknamed "mirage" in high school?
323
+ who ended hopes of the neutrals' favorite team?
324
+ who ended hopes of the neutrals' favorite team?
325
+ where did rory meet the fresh prince?
326
+ who did donald trump go on?
327
+ who went on jimmy fallon?
328
+ who will accept the nomination?
329
+ who will accept the nomination?
330
+ what should lena do to see hillary clinton accept the nomination?
331
+ what will lena dunham be doing?
332
+ who is john d. sutter hoping to meet?
333
+ what is the man doing?
334
+ who is asking for barricade to be removed?
335
+ who does emma watson greet?
336
+ what did the tweeter feel when watching american horror story?
337
+ what does he hope someone gets to the bottom of?
338
+ what does he hope someone gets to the bottom of?
339
+ what might people be more outraged by?
340
+ why would people be more outraged?
341
+ what is the boat equivalent weight?
342
+ who is trying to make all the gear fit?
343
+ what is jo ready for?
344
+ what does jo carry in the backseat of his car?
345
+ who is sending love to julian louis-dreyfus?
346
+ who is sending love to?
347
+ what happened to the people in vegas?
348
+ where is the event being held?
349
+ who left prince philip alone?
350
+ what did prince philip let us put a picture of his wife on?
351
+ who had the wrong team?
352
+ what does kraft say many jump to conclusions about?
353
+ what does kraft expect if no wrongdoing is found?
354
+ what award did cristiano win?
355
+ how many times has cristiano won the ballon d'or?
356
+ what region is jan egeland visiting?
357
+ what region is jan egeland visiting?
358
+ what is robin williams doing?
359
+ where is the super eagles training session?
360
+ why is the super eagles flying from porto alegre?
361
+ what kind of attacks are being attacked?
362
+ who is jeb bush tweeting about?
363
+ who is the real benghazi?
364
+ what is benghazi?
365
+ who stopped chris rock?
366
+ what did the cops stop him by?
367
+ what did the cops stop him by?
368
+ who stopped chris rock?
369
+ what does covfefe detest?
370
+ what symbol is nearly shaped like?
371
+ what is the definition of being in the travel industry?
372
+ what are destinations not?
373
+ who is mac mourning?
374
+ why is mac miller drinking a dr pepper?
375
+ what did everyone who used speakamerica oppose?
376
+ who is the country of?
377
+ what was shonda rhimes doing?
378
+ what day was the worst day of the entire week?
379
+ what show did stephen at home miss?
380
+ what did bobby jindal do last night?
381
+ what did he do with the stick?
382
+ what did henrik sedin give to a young canucks fan?
383
+ who was hit by a puck?
384
+ why did trump shove montenegro pm?
385
+ who is trump allegedly shoveling?
386
+ what is the only choice for your future?
387
+ how many choices are there for romney?
388
+ who is the only choice for your future?
389
+ who is the only choice for your future?
390
+ who is the only choice for your future?
391
+ who is the only choice for your future?
392
+ what does luis figo want to give back?
393
+ who announced his candidacy for the fifa presidency?
394
+ what awards did trump watch tonight?
395
+ who is patti lupone tweeting to?
396
+ what is germany doing?
397
+ what country does senorrin hatch think welcomes the best and bright
398
+ who is looking forward to getting a more detailed explanation regarding the president's comments?
399
+ who didn't even perform tonight?
400
+ who didn't even perform tonight?
401
+ who tampered with footballs?
402
+ who does robert kraft expect an apology from?
403
+ who is rebecca nicks tweeting about patriots tamper
404
+ what does robert kraft expect from the nfl?
405
+ what is getting more violent in kenting?
406
+ where is the super typhoon?
407
+ what country is trump supporting?
408
+ what kind of support does trump thank trump for?
409
+ what is being taken off the table?
410
+ what can negotiators do now?
411
+ what holiday is bryce dwight wishing for?
412
+ who has taught, respected, included, loved and lifted bryce?
413
+ how many kids are at the airport?
414
+ what is joel trying to do?
415
+ what did stephen fry hope for?
416
+ how is stephen fry feeling?
417
+ who says he's gay because he watches ru paul's drag
418
+ what does the kid think he is?
419
+ what makes it feel even hotter?
420
+ what temperature is it?
421
+ where did hamilton scream?
422
+ who screamed "here we go yo, here we go
423
+ who committed to heat?
424
+ who is a teammate?
425
+ what is happening to google glass?
426
+ what is being retooled?
427
+ who posed with his cromo de panini?
428
+ what is trying to kill me?
429
+ what is the american horror story trying to do?
430
+ what is the american horror story trying to do?
431
+ who is the host of manutd?
432
+ when will lfc host manutd at anfield?
433
+ where is manutd playing?
434
+ who is the host of manutd at anfield?
435
+ when will lfc host manutd at anfield?
436
+ where did the air show crash occur?
437
+ what crash happened?
438
+ where were civilians evacuated?
439
+ who is moving in?
440
+ who is the person who wants everybody to sign up to tidal?
441
+ what does hov need to do if he wants everybody to sign up to t
442
+ who is the video for milf money?
443
+ what is fergie's video for?
444
+ who is sherrod brown's mentor?
445
+ who is sherrod brown's friend?
446
+ who is a dog who wrongfully comments on donald trump?
447
+ why is it necessary to comment on ariannahuff?
448
+ what has been done within durant's inner circle?
449
+ how did durant ride the endorsement wave of change?
450
+ what is the rnc forced to do?
451
+ what is the attack about?
452
+ what does the rnc delete?
453
+ what is in the water?
454
+ how much rainfall did phoenix have in the past 7 hours?
455
+ how many inches of rainfall did phoenix have in just the past 7 hours?
456
+ when could lebron's meeting with pat riley take place?
457
+ where is lebron's meeting with pat riley going to take place?
458
+ how long has he been locked inside the bookstore?
459
+ where is dwill locked in?
460
+ where did the robot land?
461
+ who ran in the olympics?
462
+ what did the man have?
463
+ who is jada pinkett smith celebrating birthday?
464
+ what does jada pinkett smith say pac is cradled in her
465
+ what is the author's opinion about thomas hitzlsperger?
466
+ who is thomas hitzlsperger?
467
+ who is jedezal's fan?
468
+ what is kevin hynson's opinion of jdeezal
469
+ who is jedezal's fan?
470
+ what is jdeezal's new tattoo?
471
+ what did john boyega not see?
472
+ what does the lakers game deserve?
473
+ how much is the shirt being sold for?
474
+ what did kendall and kylie put on a tupac shirt
475
+ what is sam smith dressed like?
476
+ who is the top 10 tweeter in the world?
477
+ what should the issue come with?
478
+ who was on the cover of vogue?
479
+ who is back together?
480
+ what are worth waiting for?
481
+ why did the national science fdn raise an eyebrow?
482
+ what did leonard nimoy do?
483
+ what did aaron ekblad sign?
484
+ who signed aaron ekblad's first hockey contract?
485
+ what was dragged through emotional ambiguity?
486
+ what should you have?
487
+ why is snow miser angry?
488
+ what is snow miser's relationship to dallas?
489
+ who did cs nkaisserry and ps ambjuma
490
+ where did the evacuated passengers have lunch?
491
+ where did the evacuated passengers have lunch?
492
+ who did cs nkaisserry and ps ambjuma
493
+ what does the patriots thrive on?
494
+ what does greg cosell think of patriots?
495
+ what kind of artist is nicki minaj?
496
+ what would be nominated for?
497
+ why did many people call the stations and dispatch center?
498
+ how does phoenix police feel about the support?
499
+ who took millions of $'s in special interest money?
500
+ what money did jeb bush take?
501
+ where is the us embassy located?
502
+ what is the image of the us embassy in france?
503
+ where are the new 970 police officer positions coming?
504
+ how many police officer positions are coming to cpd?
505
+ what does matt o'brien like?
506
+ when did matthew o'brien tweet about clinton's gold and
507
+ what event is the most awkward moment?
508
+ what year did the oscars take place?
509
+ who is the most awkward moment?
510
+ what does ryan parker say about ben bradlee?
511
+ who is ryan parker tweeting about?
512
+ what does he never monkey with?
513
+ who is ryan parker tweeting about?
514
+ how does jimberlake feel?
515
+ what did jimberlake do?
516
+ how old was morgan ali when he died?
517
+ who is dead at 74?
518
+ who attacked lesdoggg?
519
+ what happened to frank victor?
520
+ who is steve israel asking to make the interview movie available in dvd?
521
+ who is asking for the interview movie to be made available in dvd?
522
+ what is it nice to have?
523
+ what type of aircraft is being operated by another american airline?
524
+ what was the finale last night?
525
+ what was jojo doing last night?
526
+ what is the album in the top of?
527
+ what is joey fatone doing with the album?
528
+ who is pregnant again?
529
+ how many twins are there?
530
+ how long ago did the notorious b.i.g. lose their superstar?
531
+ who was the greatest rapper of all time?
532
+ how is mara wilson going to be about her relationships?
533
+ what is mara wilson going to be about her relationships?
534
+ who will threaten shutdown?
535
+ what will the dems threaten?
536
+ when is the shutdown of the military?
537
+ when did he tweet this tweet?
538
+ what hashtag is being used?
539
+ what is laverne cox taking a stand against?
540
+ who is taking a stand against bullying?
541
+ who is trying to find an acceptable rationale for comey's firing?
542
+ who was one of al yankovic's all-time heroes?
543
+ who was one of al yankovic's all-time heroes?
544
+ how many goals has lionel messi scored?
545
+ who has lionel messi scored 269 goals in la liga games?
546
+ who might be one of the greatest minds ever in pop culture?
547
+ who might be one of the greatest minds ever in pop culture?
548
+ who is the movie being filmed with?
549
+ what did dwayne johnson team with apple to do?
550
+ who does brooklyn heare love?
551
+ who did gwenstefani fire?
552
+ what happened to malayan airlines?
553
+ where was the last known position?
554
+ who can you take a selfie with?
555
+ how many presidents are mentioned in the tweet?
556
+ what is dean ready to do?
557
+ who is ready to go black?
558
+ what is growing home doing on instagram?
559
+ what is growing home doing lately?
560
+ what did keith lamont scott do?
561
+ who should release police video of the keith lamont scott shooting?
562
+ who is manuela arbelaez tweeting about?
563
+ what does manuela arbelaez want to give away on the show?
564
+ why are women protesting?
565
+ what should the protestors do?
566
+ who is johnalyn peluso thanking?
567
+ what is johnalyn proud to do?
568
+ who is jada pinkett smith thanking for bringing heart and spirit to their
569
+ what do the girls learn from the mentors?
570
+ what kind of science is being taught?
571
+ how will dee treat justin?
572
+ who is dee bieber referring to?
573
+ what should dan do first?
574
+ where were the travelers stranded?
575
+ who is rakim kaney?
576
+ who is mr. carter thanking?
577
+ who is jonah peretti congratulating?
578
+ who is jonah peretti congratulating?
579
+ who is jonah peretti congratulating?
580
+ what was the buzzfeed team celebrating?
581
+ what is certainly in the air?
582
+ who is a tweeter?
583
+ what is real?
584
+ who did chrissy teigen love?
585
+ where did lebron james and dwyane wade meet?
586
+ who is expected to be on a flight back to miami with lebron james
587
+ who is the vfw national HQ tweeting about?
588
+ what event is being supported?
589
+ what are the amazing photos from?
590
+ what link is being used?
591
+ how did ian poulter feel about his performance today?
592
+ who did ian poulter congratulate?
593
+ what does the judge say you can't do?
594
+ what did the judge say he did at residence?
595
+ what awards did bette midler arrive at?
596
+ what is bette doing?
597
+ how much does she need to be?
598
+ how much does she want to get?
599
+ what is the tone of the tweet?
600
+ who is tracey bellew referring to?
601
+ what sports event is being discussed?
602
+ how many people are laughing at the super bowl?
603
+ what instrument is lady gaga playing?
604
+ who is performing bad romance?
605
+ what is the agency restoring?
606
+ when is the action taking place?
607
+ what game did jim mcelwain strike the best surrender cobra pose
608
+ who struck the best surrender cobra pose?
609
+ who added de11e donne to the dc family?
610
+ who did dwyane wade apologize to?
611
+ who did dwyane wade apologize to?
612
+ where was scottie upshall invited to?
613
+ what is the team close to winning?
614
+ what happened to david cassidy tonight?
615
+ who will miss david cassidy?
616
+ what is the dream of japan?
617
+ who is the jockey of just a way?
618
+ who is the jockey of just a way?
619
+ who is going to look nice in the Spurs jersey?
620
+ what does hillary clinton want you to do?
621
+ who is voting for your conscience?
622
+ what is the best way to get amped up for a game in johnstown
623
+ what is the best way to get amped up for a game in johnstown
624
+ who is the best way to get amped up for a game in johnstown
625
+ where is the game being played?
626
+ what was controversial?
627
+ what magazine does josh levs subscribe to?
628
+ what is the situation in nepal?
629
+ what is the process of doing?
630
+ who did aaron gordon throw an inbound pass off?
631
+ who throws an inbound pass off marcus morris' back?
632
+ who underlines one of modern feminism's real problems?
633
+ when were the real battles fought and won?
634
+ who can't believe scenes in kiev?
635
+ what can't sergey_bubka believe?
636
+ what does the couple worry about?
637
+ what happened to the couple?
638
+ what color is the hulk tie?
639
+ what is sen. murkowski wearing?
640
+ who is celebrating x's victory?
641
+ what is bill murray celebrating?
642
+ what is bill murray celebrating?
643
+ who is celebrating x's victory?
644
+ what will spicer keep his nose in?
645
+ what can spicer not carry?
646
+ what is the word "chicago" used for?
647
+ why is it not the way to go?
648
+ who hacked lesdoggg's site?
649
+ what should anyone who hacked lesdoggg's site be doing?
650
+ who should be concerned about this crisis?
651
+ what happened at the scene?
652
+ how much is wes woodland down to?
653
+ how much weight is wes woodland down to?
654
+ who is getting divorced?
655
+ what are gwyneth paltrow and chris martin doing
656
+ what did gwyneth paltrow and chris martin
657
+ how long did robyn watch the bachelorette finale?
658
+ what is robyn sarah watching?
659
+ when will robin van persie be retiring?
660
+ when will robin van persie be retired?
661
+ who did donald trump want to share with russia?
662
+ who did donald trump want to share with?
663
+ who did donald trump want to share with?
664
+ what is the name of the event?
665
+ who was taken too soon?
666
+ what did elijah wood thank adam lennie for
667
+ what is george auriemma's profession?
668
+ who is the only coach in major college or pro sports to win 10 titles?
669
+ where is the race going?
670
+ who is claude gray sorry to be sorry about?
671
+ who won the second term?
672
+ how many terms did hassan rouhani win?
673
+ who is the celebrity who set the record straight on pregnancy rumors?
674
+ what was eva laongoria having?
675
+ what is the record straight on?
676
+ what was hillary clinton doing?
677
+ why did hillary clinton load the van?
678
+ what caused the model to be undone?
679
+ who was undone by the heat at yeezy?
680
+ where is the soberanes fire?
681
+ what does speaker ryan think minds will do?
682
+ what is the criticism of the roosevelt tax bill?
683
+ where is the first state to raise smoking age to 21?
684
+ when did hawaii become the first state to raise smoking age to 21?
685
+ how can you help the subject of the PSA?
686
+ what is the subject of the PSA getting on the comments?
687
+ who is in charge of google glass?
688
+ who is google's best designer?
689
+ what is the lineup called?
690
+ what is the lineup called?
691
+ who is the head coach of usmnt?
692
+ who is the head coach of usmnt?
693
+ what is in horrible shape?
694
+ who should spend more time fixing and helping his district?
695
+ who was fired?
696
+ how many hours after the titans fired mike munchak?
697
+ what park is mentioned?
698
+ what is the radar doing?
699
+ who is essentially his entire dating life in one scene?
700
+ who drops a chip in her hair?
701
+ what two places did officials retrace the ebola patient's foots
702
+ what did officials retrace?
703
+ what political think pieces are being bombarded with?
704
+ when are the political "ideas of march" think pieces going to be bombarded
705
+ what does michael moore say about being on the roof of his home?
706
+ what did invaders do to the roof of their home?
707
+ why did she make this collage?
708
+ what show is the collage from?
709
+ who is mario testino taking a picture of?
710
+ who is the prince of wales?
711
+ who is william and harry with?
712
+ who is mario testino taking pictures of?
713
+ what did rudy giulianiani say police don't ask about?
714
+ what was the rnc doing?
715
+ who is eric holder referring to?
716
+ what does eric holder say there's towards himself and obama
717
+ what did the ethiopian airlines squawk about?
718
+ what flight squawked for reasons unknown?
719
+ what was rance howard?
720
+ who was a legend?
721
+ who is luis guirda abad thanking for his support
722
+ what time is it?
723
+ what will be there?
724
+ where does charles blow look?
725
+ what is the little refugee kid doing?
726
+ what did the hungarian police use to disperse migrants?
727
+ who spent a few minutes in the penalty box?
728
+ why did kadri spend a few minutes in the penalty box?
729
+ who set up the projector?
730
+ what is the projector playing?
731
+ what events did jeb bush urge president potus to unite the country?
732
+ what does jeb bush urge potus to do?
733
+ what does caleb make his case for?
734
+ what does geri horner say about the situation?
735
+ what movie is geri horner sorry about?
736
+ where did john d. sutter make it to?
737
+ where is the boat?
738
+ what happened to the team?
739
+ who is the team that finished goalless?
740
+ how did kwk and janet mock speak in july?
741
+ when did kwk and janet mock speak?
742
+ what did trump say about the bipartisan dACA deal?
743
+ what was presented to donald trump?
744
+ what was not properly funded?
745
+ what is beyonce doing with beyonce?
746
+ what is beyonce missing?
747
+ what is adam arron confident all guests will enjoy?
748
+ where is the movie going experience?
749
+ how much is chelsea hoping to stay connected with this account?
750
+ what would chelsea tweet about?
751
+ what kind of content did sia want to create?
752
+ what is he going to do with taxes?
753
+ what is he doing while he's saying he's going to raise our
754
+ who used the photo of iraqi pm helping a woman in
755
+ where is the photo of the iraqi pmu?
756
+ what is the photo of?
757
+ where is the photo of the syrian envoy?
758
+ what does ibekwe bonaventure want to do in a movie?
759
+ where is ibekwe bonaventure going to see genevieve?
760
+ what kind of leave is being proposed?
761
+ what is sweden proposing?
762
+ who is proud of where she came from?
763
+ what is mama june proud of?
764
+ what should you do if you know of a serial harasser/bully in science
765
+ what is the reason for the harassment?
766
+ what did sandra bernhard do?
767
+ where did diahann carrol open?
768
+ what should we do when someone is hurting?
769
+ who let the american people down?
770
+ who is having a scotch?
771
+ who is joe biden's mom putting his "debate participation"
772
+ who is the organization that is showing what happens when an organization does not support those tasked
773
+ what hashtag is being used to describe the situation?
774
+ how many people were uprooted by violence in nigeria?
775
+ what is the nation's population?
776
+ what is the nation full of?
777
+ what band is jennifer hudson singing?
778
+ what was the concert?
779
+ what did janet mock not write?
780
+ who did not choose the portraits/art, headline or write the intro?
781
+ who died?
782
+ who died?
783
+ what is daniel living for?
784
+ who is danny champken living for?
785
+ when did honda enter the picture?
786
+ who did not enter the picture after the fantasy draft?
787
+ what did tom petty do through every song?
788
+ where did tom petty perform?
789
+ who won't take a chance on colin kaepernick?
790
+ who is the browns taking a chance on?
791
+ who is taking a detox?
792
+ what is ruby taking a detox from?
793
+ what team is st louis locked on?
794
+ who is st louis locked on?
795
+ where can so much be done?
796
+ what does the machine encourage?
797
+ who is the dad?
798
+ who is thanking everyone for their best wishes?
799
+ what is the name of the tweeter's tweet?
800
+ what is the star and heart?
801
+ who acts like he really doesn't have his own father?
802
+ who is too old to be naked in the photoshoot?
803
+ what was the attack on the UN?
804
+ what did nick kay condemn?
805
+ who is bryan cranston excited to play?
806
+ what movie is zordon playing in?
807
+ who's stop is being asked to cancel?
808
+ why is madi emblem asking for a cancellation of nicky's
809
+ who is malala standing in solidarity with?
810
+ what is malala calling for action to?
811
+ what is rand paul posting?
812
+ what type of shorts are being discussed?
813
+ what does russia call the nprts of aedah
814
+ who is russia calling a fake news?
815
+ what is the healthcare coming along?
816
+ how will healthcare end?
817
+ who is swearing in the new ministers?
818
+ what is the new ministers?
819
+ how do they look to the future?
820
+ who was sworn in?
821
+ who does paul george prefer?
822
+ when is paul george leaving the pacers?
823
+ where did the pacers last play?
824
+ what team did pacers last play?
825
+ who played on a road trip?
826
+ who is the tweeter tweeting about?
827
+ what website does lorde think people thought she was lip syncing on?
828
+ what does lorde think of the fact that some people thought lorde was lip
829
+ who passed away?
830
+ what kind of person did a shy young actor put at ease when he was on
831
+ who auditioned for season 11 of the voicetune?
832
+ what season did dranaharpermusic audition for?
833
+ who is responding to media reports?
834
+ how many debates did hilary clinton represent death row records?
835
+ what did hilary clinton not represent?
836
+ what game did dre beat before the game?
837
+ what is the game before the game?
838
+ who can joseph fiennes play?
839
+ who can idris play?
840
+ what does ron wyden think of the trump budget?
841
+ who is seeking contempt citations?
842
+ how many wins did michigan win over illinois?
843
+ where is the water crisis?
844
+ what distracts from solving the flint water crisis?
845
+ what do we wear from time to time?
846
+ what will christina applegate do if she wants to find her?
847
+ who is christina applegate talking to?
848
+ what did jim himself do?
849
+ what is the name of the song?
850
+ who got "swamped"?
851
+ what did aaron schwarzenegger get?
852
+ how long does congress have to legalize daa?
853
+ what does congress need to do?
854
+ who is practicing for the super bowl?
855
+ where is beyonce practicing for the super bowl?
856
+ who has never met a person who didn't get the talk about the cops?
857
+ what country is michae from?
858
+ what class did miss nebraska skip?
859
+ what etiquette class did miss nebraska skip?
860
+ who is moon jae-in with?
861
+ what event is being discussed?
862
+ what is the mood of lorde?
863
+ who is lorde?
864
+ how does michael mcdonald feel about trump?
865
+ what can trump no longer afford?
866
+ how did the source feel about the situation?
867
+ what website is being suggested to dismiss the suggestion?
868
+ where are you "pickin & grinnin" tonight?
869
+ who is alan jackson mourning?
870
+ what are you doing tonight?
871
+ where are you?
872
+ what did he think hillary clinton couldn't be?
873
+ what is hillary clinton brags about?
874
+ who will we miss?
875
+ what did oliver sacks speak about?
876
+ what is it?
877
+ what is it that we've waited for all year?
878
+ what website is being used to watch bearcam?
879
+ what does the voice hope will inspire, comfort and bring us together?
880
+ who stands in unity with all those affected?
881
+ who is lj going to?
882
+ what website is this red carpet correspondent talking with?
883
+ what did pharrell say he was nominated for?
884
+ who is the @aacopd asking for inquiries?
885
+ who lost the confidence of almost everyone in washington?
886
+ what did comey lose?
887
+ what is the mayor listening to?
888
+ who is a miracle worker?
889
+ who looks worse than they did under moyes?
890
+ who could leave arsenal this summer?
891
+ when could arsene wenger leave arsenal?
892
+ who is being investigated?
893
+ what will trump be asking for a major investigation into?
894
+ what has happened in 2017 for women?
895
+ who is the opening monologue of the nbcsnl?
896
+ what website is being used to play pacman?
897
+ what game is being discussed?
898
+ what network is louis asking about his bestie?
899
+ what is louis asking about his bestie?
900
+ who is louis's bestie?
901
+ how long can you go without this happening?
902
+ what sport is the minion playing?
903
+ what sport is the minion playing?
904
+ how often can you go of a soccer game without this happening?
905
+ who is the addition of the game of thrones?
906
+ what is the name of the movie that ed sheeran is a part of
907
+ what did ed sheeran jump?
908
+ who is the addition of the game of thrones?
909
+ what must you do to get lucky?
910
+ who was tweeting?
911
+ who helped search and rescue victims?
912
+ what did the help do?
913
+ how does james van der beek describe him?
914
+ who was effortlessly golden?
915
+ who was effortlessly golden?
916
+ how does james van der beek describe him?
917
+ who was effortlessly golden?
918
+ what color is rippaul walker?
919
+ who does the 6 yo like?
920
+ who are u fans?
921
+ what has trump had since election?
922
+ who is the secretary of homeland security?
923
+ what has trump had since election?
924
+ who is the secretary of homeland security?
925
+ when did si2 take off?
926
+ where did si2 take off?
927
+ what did john legend read about it?
928
+ when did john legend win the olympics?
929
+ what would have been a sin?
930
+ what does john legend think of the article?
931
+ how many people are talking about this?
932
+ where is philae stuck?
933
+ who couldn't reestablish contact?
934
+ what happened to system of a down?
935
+ who passed away?
936
+ what were the boys killed in?
937
+ how many cousins were killed in the strike?
938
+ where was the funeral held?
939
+ what does caroline wozniacki love?
940
+ what is caroline woozniacki thanking for?
941
+ what was dave foley going to be named?
942
+ what was dave foley going to be named?
943
+ what did dave foley agree to?
944
+ what bible is bruce jenner forbidden from?
945
+ who is logical about bruce jenner?
946
+ who is the next president of fifa?
947
+ what is luis figo's race to become?
948
+ who is michael jackson's character?
949
+ who is he posting nudes of?
950
+ who is he hacking?
951
+ who responded to charles barkley's criticism?
952
+ who is lavar ball criticizing?
953
+ what should newspapers be more respectful in?
954
+ who says newspapers need to be more respectful in depiction of religion?
955
+ what happened to eric garner?
956
+ what crime did eric garner die from?
957
+ who is silencing harris speech?
958
+ who is being taken down?
959
+ what did taylor see in the preview?
960
+ what movie is going to be just like the book?
961
+ what caused the church of san benedetto to collapse?
962
+ when did the earthquake happen?
963
+ what is pac world?
964
+ what game is Melanie deziel playing?
965
+ where did chelss spend the night?
966
+ where was chelss stuck?
967
+ why did cruz not renounce his canadian citizenship?
968
+ who did not renounce his canadian citizenship?
969
+ what was colin kazim-richards found guilty of?
970
+ where was colin kazim-richards found guilty of section 5 public
971
+ who was found guilty of section 5 public order act?
972
+ what was colin kazim-richards found guilty of?
973
+ what is the hashtag for this tweet?
974
+ who is the name of the marche republicaine?
975
+ where is kim kardashian praying for?
976
+ how much will kim kardashian donate to redcross and salvation army?
977
+ what is information food for?
978
+ what does insufficient access impact?
979
+ who is during christina guilera's whitney hou
980
+ who was p!nk at during the whitney houston tribute?
981
+ who was murdered on new orleans?
982
+ where was will smith murdered?
983
+ what is the product bouncy aisles?
984
+ what is tesco introducing?
985
+ who fired the black worker?
986
+ why was the black worker fired?
987
+ what two teams are being played tomorrow?
988
+ who does donald trump think may find a way to get there?
989
+ why does donald trump think rand paul may find a way to
990
+ how many people are being proposed for the 2022 world cup?
991
+ what year is the world cup?
992
+ when is the 2022 fifa world cup proposed?
993
+ when was the 2022 fifa world cup proposed?
994
+ when was the 2022 fifa world cup proposed?
995
+ when is the world cup to be held?
996
+ how many times has she asked "you don't drink do you?"
997
+ what is the 97th time she's asked?
998
+ what did nick gordon not talk to the cops?
999
+ who has nick talked to?
1000
+ what does nick gordon think is cool?
1001
+ what will we all miss?
1002
+ what did william shatner love him like?
1003
+ what does the pope do?
1004
+ what process was frank's streamlining?
1005
+ who is the presiding over the annulment process?
1006
+ what did philip lord do?
1007
+ what is philip lord saying?
1008
+ where did she grow up?
1009
+ what is she taking here?
1010
+ who did blakes shelton spend time with?
1011
+ what does cantor say to the leadership?
1012
+ who is backslapping the gop leadership?
1013
+ who has kristaps porzingis, enes kanter,
1014
+ what does kristaps porzingis need to play?
1015
+ who is mat whitehead better dressed than?
1016
+ what was on inside out during sweden?
1017
+ what does eggy look like?
1018
+ who is the university of washington committing to?
1019
+ who is a gay person?
1020
+ what does j.k. rowling think gay people look like?
1021
+ why is riley vasquez sitting on a delta flight?
1022
+ what is the flight throwing us?
1023
+ what was the post meant to be?
1024
+ who apologized for the post?
1025
+ what ethnicity is the post against?
1026
+ what is true detective?
1027
+ what did favianna do?
1028
+ what has never happened to matt damon?
1029
+ who has never suffered from being openly heterosexual?
1030
+ who is trump's number one enabler?
1031
+ what is the reason for calling for pence to replace the nominee?
1032
+ what did james franco do?
1033
+ who is violet paley pining?
1034
+ what does he agree with?
1035
+ why does james Blake think it is classy of maria harapova
1036
+ what hashtag is being used?
1037
+ what religion is the militia?
1038
+ when is the show on?
1039
+ what is ed helms talking about?
1040
+ what does john peterson want you to do?
1041
+ who is the tweeter?
1042
+ when did steve lukather say mike porcaro is at
1043
+ who is at peace?
1044
+ what is the problem with humor?
1045
+ what can no one hold?
1046
+ who is mariah carey asking for forgiveness?
1047
+ what can meryl do?
1048
+ who is ted cruz attacking?
1049
+ who is not acceptable to attack anyone's spouse or kids?
1050
+ what does ted cruz say about his family?
1051
+ when did clinton announce she's running for president?
1052
+ who broke the mold for late night?
1053
+ what is letterman's influence seen everywhere?
1054
+ what is the twister challenge about to do?
1055
+ what is about to take over?
1056
+ what is merging into one?
1057
+ what is the name of the challenge?
1058
+ who has reactivated the power?
1059
+ who does the president need to reject?
1060
+ who needs to clearly and categorically reject white supremacists?
1061
+ when should we honor people?
1062
+ who should honor people before they die?
1063
+ what is the look inspiring?
1064
+ what is inspiring memes?
1065
+ who bothers lou dobbs?
1066
+ what is the tweet about?
1067
+ what airshow is this?
1068
+ what is the world's biggest airliner?
1069
+ what does wayans say we do?
1070
+ who does damon wayans yunior not negotiate with?
1071
+ what show is being congratulated?
1072
+ what was the show one of a kind?
1073
+ what should everyone do tomorrow?
1074
+ when is snow day?
1075
+ who is being warned about snow?
1076
+ what does rory say about swinging?
1077
+ who is rary talking to?
1078
+ who is the leader of the senators?
1079
+ how many years of o'care disaster must happen?
1080
+ who is the tweeter tweeting about?
1081
+ what were the investigators believed to have been in the building?
1082
+ what is the moment when you realize our life revolves around?
1083
+ what is the moment when you realize our life revolves around?
1084
+ what will we piece together?
1085
+ what will we piece together?
1086
+ what should not be done?
1087
+ who did rupert murdoch tell uk's cliver receiving
1088
+ what is under attack?
1089
+ what is the tweet not visible?
1090
+ who is brian moore of?
1091
+ who is the officer?
1092
+ how many countries took an historic step to act on climate?
1093
+ what did 200 countries take an historic step to do?
1094
+ who lived long and prospered?
1095
+ who was an inspiration to london?
1096
+ who will not make/announce his decision tonight?
1097
+ who is the source of this tweet?
1098
+ what languages did sylvia cruz memorize a message about her family?
1099
+ who has memorized a message about her family?
1100
+ what was scanned into nba 2k15?
1101
+ who is saddened at the loss of?
1102
+ what is betty willis's iconic neon designs defined?
1103
+ what is a good idea?
1104
+ what should you not get distracted from?
1105
+ who does sarah bennett think the new brunel jenner looks
1106
+ who is the new brunel jenner aka?
1107
+ where does the kc chiefs believe in the power of laughter to end poverty?
1108
+ what does the chiefs believe in?
1109
+ what should democrats do to the republicans?
1110
+ what did donald trump do?
1111
+ what is going down?
1112
+ what hashtag is being used to describe the situation?
1113
+ what is the name of the sorority?
1114
+ how is the sorority getting more affordable?
1115
+ who follows donald trump on twitter?
1116
+ who does ted cruz follow on twitter?
1117
+ what is mafleen worried about?
1118
+ where would mafleen prefer not to spend her holiday?
1119
+ who is the speaker on the plane?
1120
+ why is netanyahu heading to dc?
1121
+ what is the name of the person who is tweeting?
1122
+ what is the first thing you notice about chibi tori?
1123
+ what is the name of the person who is tweeting?
1124
+ when was the tweet posted?
1125
+ how many matches was luis suarez suspended for?
1126
+ how long was luis suarez banned from football-related activity?
1127
+ what awards show is being discussed?
1128
+ when are people leaving the awards show?
1129
+ who is not our friend?
1130
+ who took out osama bin Laden?
1131
+ how long has the us given pakistan aid?
1132
+ who has given pakistan more than 33 billion dollars in aid?
1133
+ who is aditikadam sending a package to?
1134
+ what does aditi kadam want to do?
1135
+ who did jason demers want to lose tonight?
1136
+ what does jason demers appreciate?
1137
+ who gives lucis suarez strength?
1138
+ what did luis suarez thank for throughout the day?
1139
+ who has no idea is even in the mix?
1140
+ who is pratt's writer?
1141
+ who is rick wilson saying this as?
1142
+ what is the speech for democrats?
1143
+ what streaming service is cthagod hoping to watch how to get away with murder
1144
+ what movie is charlamagne tha god wishing was on netflix
1145
+ what event has roots in anti white/cop events?
1146
+ who illuminated the first of the anti-white/cop events?
1147
+ what does maeve want to come back as?
1148
+ who does maeve want to come back as?
1149
+ who is glad his actions weren't in vain?
1150
+ who is glad his actions weren't in vain?
1151
+ who would be upset by donald trump's trade deal?
1152
+ what does donald trump want to negotiate?
1153
+ where was the poisoning of water?
1154
+ what water was poisoned?
1155
+ when did he tweet about the poisoning of flint's water?
1156
+ what did ravengates09 punch in the face?
1157
+ who would he throw his savings account at?
1158
+ who would vpaul alvarez have made the same mistake with?
1159
+ what does vpaul alvarez still make?
1160
+ what did the media do to rose mcgowan?
1161
+ who shamed rose mcgowan?
1162
+ who is eager to get rid of obamacare?
1163
+ what is tomi lahren eager to get rid of?
1164
+ what gender is the person who is being hailed?
1165
+ what gender is the cdt?
1166
+ what does ed helms wish were asked?
1167
+ what type of seats do cup holders exist in?
1168
+ what did rep al green speak about?
1169
+ what did rep algreen do after his speech?
1170
+ who did dimitrov knock out?
1171
+ who knocked out defending champ murray?
1172
+ who is honored to share his voice today?
1173
+ who is adrian grenier thanking for his work with lonely whale?
1174
+ what is the suspected ebola?
1175
+ where is the lab located?
1176
+ where did the kayoola solar bus arrive?
1177
+ what is the bus made of?
1178
+ when did the kayoola solar bus arrive at kampala serena?
1179
+ who pays the price?
1180
+ what is aint the wheel of fortune?
1181
+ what has vanished?
1182
+ what happened to the plane?
1183
+ what is the reaction to the tweet?
1184
+ what was joey sigler doing?
1185
+ what was joey-lynn sigler doing?
1186
+ what should trump do when not talking weather?
1187
+ what country is a total mess?
1188
+ what hymn is being sang?
1189
+ who was the funeral for?
1190
+ where is the caravan?
1191
+ who is plowing up dirt?
1192
+ what are farmers doing?
1193
+ where does scotty write the tweet?
1194
+ what can't pamela woolard believe?
1195
+ who pierced her daughters ears?
1196
+ who is the author of the single?
1197
+ where is the single?
1198
+ who sent the pic?
1199
+ what is margot doing?
1200
+ where is the winter storm spreading?
1201
+ what has john mccain been blessed to do?
1202
+ who is a bit player in the story of america?
1203
+ who is john mccain?
evaluation/dummy_predictions/tweet-sentiment.txt ADDED
The diff for this file is too large to render. See raw diff
 
evaluation/dummy_predictions/tweet-similarity.txt ADDED
@@ -0,0 +1,450 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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evaluation.py → evaluation/evaluation.py RENAMED
@@ -6,15 +6,15 @@ from evaluate import load
6
  import numpy as np
7
  import argparse
8
  from collections import defaultdict
9
-
10
 
11
  logging.basicConfig(format='%(asctime)s %(levelname)-8s %(message)s', level=logging.INFO, datefmt='%Y-%m-%d %H:%M:%S')
12
 
13
  # argument
14
  parser = argparse.ArgumentParser(description='Super TweetEval evaluation script.')
15
  parser.add_argument('-p', '--prediction-path', required=True, type=str,
16
- help="a text file that contains the model prediction on the test set in each line")
17
- parser.add_argument('-o', '--output-file', default="super_tweeteval_result.json", type=str, help="path to the output file")
18
  parser.add_argument('--t2t-format', action="store_false", default=True, help="format prediction file in T2T format (ONLY for NER7)")
19
 
20
 
@@ -48,7 +48,8 @@ for task in task_names:
48
  eval_metric = {"accuracy": np.mean([int(a == b) for a, b in zip(_predictions, gold_labels)])}
49
  scores[task] = eval_metric["accuracy"]
50
  elif task == "tweet_emoji":
51
- with open('./emoji_map.csv') as f:
 
52
  label_classes = f.readlines()
53
  label_names = [x.strip('\n') for x in label_classes]
54
 
@@ -284,11 +285,10 @@ for task in task_names:
284
  except FileNotFoundError:
285
  not_found.append(task)
286
  continue
287
-
288
  # clusters/groups to evaluate
289
  subgroups = {
290
  "temporal": ["tweet_ner7", "tempo_wic", "tweet_topic", "tweet_nerd"],
291
- "temporal**": ["tempo_wic", "tweet_topic", "tweet_nerd"],
292
  "multi-label": ["tweet_topic", "tweet_emotion"],
293
  "multi-class": ["tweet_sentiment", "tweet_hate"],
294
  "regression": ["tweet_similarity", "tweet_intimacy", "tweet_sentiment"],
@@ -298,9 +298,22 @@ subgroups = {
298
  "generation": ["tweet_qa", "tweet_qg"],
299
  }
300
 
301
- scores = {k:round(v*100, 2) for k,v in scores.items()}
302
- logging.info(f"Tasks not found: {not_found}")
303
- logging.info(f"Scores: {scores}")
304
- logging.info(f"Average score: {np.mean(list(scores.values()))}")
 
 
 
 
 
 
305
  for group in subgroups:
306
- logging.info(f"Average score {group}: {np.mean([scores[task] for task in subgroups[group] if task not in not_found])}")
 
 
 
 
 
 
 
 
6
  import numpy as np
7
  import argparse
8
  from collections import defaultdict
9
+ import json
10
 
11
  logging.basicConfig(format='%(asctime)s %(levelname)-8s %(message)s', level=logging.INFO, datefmt='%Y-%m-%d %H:%M:%S')
12
 
13
  # argument
14
  parser = argparse.ArgumentParser(description='Super TweetEval evaluation script.')
15
  parser.add_argument('-p', '--prediction-path', required=True, type=str,
16
+ help="path to directory wiht that contains the model predictions on the test sets. One file per task.")
17
+ parser.add_argument('-o', '--output-file', default="scores.json", type=str, help="path to the output file")
18
  parser.add_argument('--t2t-format', action="store_false", default=True, help="format prediction file in T2T format (ONLY for NER7)")
19
 
20
 
 
48
  eval_metric = {"accuracy": np.mean([int(a == b) for a, b in zip(_predictions, gold_labels)])}
49
  scores[task] = eval_metric["accuracy"]
50
  elif task == "tweet_emoji":
51
+ # load label names
52
+ with open('../data/tweet_emoji/map.txt') as f:
53
  label_classes = f.readlines()
54
  label_names = [x.strip('\n') for x in label_classes]
55
 
 
285
  except FileNotFoundError:
286
  not_found.append(task)
287
  continue
288
+
289
  # clusters/groups to evaluate
290
  subgroups = {
291
  "temporal": ["tweet_ner7", "tempo_wic", "tweet_topic", "tweet_nerd"],
 
292
  "multi-label": ["tweet_topic", "tweet_emotion"],
293
  "multi-class": ["tweet_sentiment", "tweet_hate"],
294
  "regression": ["tweet_similarity", "tweet_intimacy", "tweet_sentiment"],
 
298
  "generation": ["tweet_qa", "tweet_qg"],
299
  }
300
 
301
+ #scores = {k:round(v*100, 2) for k,v in scores.items()}
302
+ score_avg = np.mean(list(scores.values()))
303
+ subgroups_scores = {group: np.mean([scores[task] for task in subgroups[group] if task not in not_found]) for group in subgroups}
304
+
305
+ logging.info(f"Tasks not found: {not_found}\n")
306
+ logging.info("*** Scores ***")
307
+ for sc in scores:
308
+ logging.info(f"{sc}: {scores[sc]:.2f}")
309
+
310
+ logging.info("*** Clusters scores ***")
311
  for group in subgroups:
312
+ logging.info(f"{group}: {subgroups_scores[group]:.2f}")
313
+
314
+ logging.info(f"*** Average score: {score_avg:.2f} ***")
315
+
316
+ # write scores to file
317
+ results = {"scores": scores, "clusters": subgroups_scores, "average": score_avg}
318
+ with open(opt.output_file, "w") as f:
319
+ json.dump(results, f, indent=4)
requirements.txt → evaluation/requirements.txt RENAMED
File without changes
evaluation/scores.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "scores": {
3
+ "tweet_topic": 0.40525181881981903,
4
+ "tweet_ner7": 0.32218714121699193,
5
+ "tweet_qa": 0.6608790569147024,
6
+ "tweet_qg": 0.440418680172199,
7
+ "tweet_intimacy": 0.5690298081483209,
8
+ "tweet_similarity": 0.05453888057160435,
9
+ "tempo_wic": 0.6283967391304348,
10
+ "tweet_hate": 0.6947538661959578,
11
+ "tweet_nerd": 0.547911547911548,
12
+ "tweet_emoji": 0.007575,
13
+ "tweet_sentiment": 0.023789768669752798,
14
+ "tweet_emotion": 0.47725029878042746
15
+ },
16
+ "clusters": {
17
+ "temporal": 0.47593681176969843,
18
+ "multi-label": 0.4412510588001233,
19
+ "multi-class": 0.3592718174328553,
20
+ "regression": 0.21578615246322605,
21
+ "target-based": 0.40003268523724517,
22
+ "big-label": 0.20641340940990952,
23
+ "disambiguation": 0.5881541435209914,
24
+ "generation": 0.5506488685434507
25
+ },
26
+ "average": 0.4026652172109799
27
+ }
super_tweeteval.py CHANGED
@@ -271,7 +271,7 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
271
  name="tweet_emoji",
272
  description=_TWEET_EMOJI_DESCRIPTION,
273
  citation=_TWEET_EMOJI_CITATION,
274
- features=['gold_label', 'text'],
275
  data_url="https://huggingface.co/datasets/cardiffnlp/super_tweet_eval/resolve/main/data/tweet_emoji",
276
  ),
277
  SuperTweetEvalConfig(
@@ -350,6 +350,7 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
350
  names=label_classes)
351
  features['gold_label'] = datasets.Value("int32")
352
  features["text"] = datasets.Value("string")
 
353
  if self.config.name == "tweet_sentiment":
354
  names = ['strongly negative', 'negative', 'negative or neutral', 'positive', 'strongly positive']
355
  features["gold_label"] = datasets.features.ClassLabel(
 
271
  name="tweet_emoji",
272
  description=_TWEET_EMOJI_DESCRIPTION,
273
  citation=_TWEET_EMOJI_CITATION,
274
+ features=["text", "gold_label", "date"],
275
  data_url="https://huggingface.co/datasets/cardiffnlp/super_tweet_eval/resolve/main/data/tweet_emoji",
276
  ),
277
  SuperTweetEvalConfig(
 
350
  names=label_classes)
351
  features['gold_label'] = datasets.Value("int32")
352
  features["text"] = datasets.Value("string")
353
+ features['date'] = datasets.Value("string")
354
  if self.config.name == "tweet_sentiment":
355
  names = ['strongly negative', 'negative', 'negative or neutral', 'positive', 'strongly positive']
356
  features["gold_label"] = datasets.features.ClassLabel(