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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
0.155136
0.654063
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
0.155136
0.654063
0.000054
0.448126
null
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1,109
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
0.155136
0.654063
0.000054
0.448126
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
0.155136
0.654063
0.000054
0.448126
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
0.155136
0.654063
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
0.155136
0.654063
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
0.155136
0.654063
0.000054
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
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0.742574
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
0.155136
0.654063
0.000054
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
0.155136
0.654063
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
0.155136
0.654063
0.000054
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null
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this event occurred roughly two years ago when i was a 13/14 year old messing around in school, like most kids do. to set the scene, i was sat in my history lesson and someone had made one of those paper fortune teller things. i was assigned the chief role of decorating said fortune teller. now as the immature 13/14...
Dataset: ctr4si/reddit_tifu/short/train
10.3
66.584773
300
59.17603
0.742574
0.259747
0.155136
0.654063
0.000054
0.448126
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
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58.495351
0.49505
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
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58.495351
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
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1,422
58.495351
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
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0.939203
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
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1,422
58.495351
0.49505
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0.939203
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
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0.939203
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Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
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null
0.253824
-0.151741
0.273557
null
0.861163
0.787462
0.903944
1,138
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
0.504744
-0.412088
-0.242015
null
0.999793
0.195251
0.697188
null
1,139
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
-0.286053
null
-0.161261
-0.527574
0.208996
null
0.777942
0.102813
1,140
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
-0.474123
0.143326
-0.337522
null
0.020927
0.750665
0.601682
null
1,141
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
-0.307845
null
-0.544471
-0.615244
0.187204
null
0.394733
0.015142
1,142
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
null
0.324547
-0.48879
-0.301739
null
0.931886
0.450413
0.328647
1,143
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
-0.480352
-0.390922
null
-0.137994
0.014697
0.216417
null
0.492393
1,144
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
0.307975
-0.249568
null
-0.244138
0.803024
0.357771
null
0.386248
1,145
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
-0.236593
0.263838
null
-0.102576
0.258457
0.871177
null
0.527811
1,146
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
-0.385464
0.142154
-0.15202
null
0.109586
0.749493
0.787183
null
1,147
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
0.152835
0.361556
-0.323562
null
0.647884
0.968895
0.615641
null
1,148
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
-0.261137
null
-0.258738
-0.38759
0.233913
null
0.680465
0.242797
1,149
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
null
0.385506
-0.638828
-0.306671
null
0.992845
0.300375
0.323716
1,150
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
-0.445091
null
-0.644592
0.108819
0.049958
null
0.294611
0.739206
1,151
551
Money troubles may have been the motive behind what friends believe was a shocking suicide pact that saw Jerry Springer producer Jill Blackstone survive after the death of her disabled sister, Wendy and their three dogs. Blackstone was deep in debt and filed for bankruptcy just three years ago, court papers uncovered b...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
7.8
95.678308
1,422
58.495351
0.49505
0.607339
0.939203
0.630387
0.000444
3.682973
-0.449863
null
-0.194178
-0.311329
0.045187
null
0.745026
0.319057
1,152
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.386724
0.274661
-0.519707
null
0.613276
0.485385
0.425786
null
1,153
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.536798
0.503089
-0.576282
null
0.463202
0.713813
0.369211
null
1,154
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.498123
0.408003
null
0.347709
0.501877
0.618728
null
0.796116
1,155
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.57186
-0.203139
null
0.408912
0.42814
0.007585
null
0.857319
1,156
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.664312
null
-0.473076
0.386709
0.335688
null
0.472417
0.835117
1,157
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.175351
0.594105
-0.233677
null
0.824649
0.804829
0.711815
null
1,158
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.212866
null
-0.668346
0.117144
0.787134
null
0.277147
0.565551
1,159
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.134705
0.620299
null
0.346894
0.865295
0.831023
null
0.795301
1,160
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.216524
0.182158
-0.417035
null
0.783476
0.392882
0.528458
null
1,161
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.436575
-0.130557
null
0.480904
0.563425
0.080168
null
0.929311
1,162
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.308509
null
-0.484982
-0.301849
0.691491
null
0.46051
0.146559
1,163
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.314336
null
-0.183956
-0.350305
0.685664
null
0.761537
0.098102
1,164
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
null
0.27124
-0.137168
-0.325899
null
0.481964
0.808325
0.122508
1,165
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.694092
0.158489
-0.207834
null
0.305908
0.369213
0.737659
null
1,166
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
null
-0.118402
-0.270738
-0.393068
null
0.092322
0.674754
0.055339
1,167
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
null
0.190054
-0.366904
0.335926
null
0.400779
0.578589
0.784333
1,168
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.380274
null
-0.129134
-0.159235
0.619726
null
0.816358
0.289172
1,169
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
null
0.51436
-0.164221
0.109948
null
0.725084
0.781271
0.558355
1,170
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.381716
0.284777
null
-0.264645
0.618284
0.495501
null
0.183762
1,171
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
null
0.254095
-0.561794
0.200398
null
0.46482
0.383698
0.648805
1,172
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
null
0.21684
-0.151933
-0.121027
null
0.427564
0.793559
0.32738
1,173
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.25106
-0.130084
-0.551461
null
0.74894
0.08064
0.394031
null
1,174
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.242204
0.263726
null
0.480107
0.757796
0.47445
null
0.928514
1,175
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.12262
null
-0.581516
0.25292
0.87738
null
0.363977
0.701327
1,176
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
null
-0.12157
-0.22811
-0.433959
null
0.089155
0.717382
0.014448
1,177
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
null
0.224537
-0.255818
-0.198199
null
0.435261
0.689674
0.250209
1,178
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
null
0.412124
-0.223664
0.543065
null
0.622848
0.721829
0.991473
1,179
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.292505
0.689304
null
-0.177895
0.707495
0.900028
null
0.270512
1,180
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
null
0.175702
-0.196667
-0.422549
null
0.386426
0.748825
0.025859
1,181
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.38789
null
-0.363309
0.13183
0.61211
null
0.582183
0.580238
1,182
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
null
-0.115812
-0.513654
0.244174
null
0.094912
0.431839
0.692581
1,183
4,474
Two or three days and nights went by; I reckon I might say they swum by, they slid along so quiet and smooth and lovely. Here is the way we put in the time. It was a monstrous big river down there--sometimes a mile and a half wide; we run nights, and laid up and hid daytimes; soon as night was most gone we stopped na...
Dataset: kmfoda/booksum/validation
13.9
62.481607
1,431
53.263497
1
0.210724
0.945493
0.448407
0.000394
3.270518
-0.285429
0.276514
null
-0.116013
0.714571
0.487238
null
0.332395
1,184
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
-0.406891
null
0.376138
-0.270602
0.365387
null
0.597661
0.623486
1,185
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
-0.616721
null
0.542172
-0.478285
0.155556
null
0.763695
0.415803
1,186
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
null
0.226385
0.120443
-0.157313
null
0.737761
0.341966
0.736775
1,187
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
null
0.253864
0.338913
-0.172899
null
0.76524
0.560436
0.721189
1,188
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
-0.608165
0.23094
0.391227
null
0.164112
0.742316
0.612751
null
1,189
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
-0.342392
null
0.655079
-0.64471
0.429885
null
0.876603
0.249379
1,190
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
-0.685807
null
-0.143477
-0.102149
0.08647
null
0.078047
0.791939
1,191
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
-0.249286
null
0.121982
-0.554392
0.522991
null
0.343505
0.339696
1,192
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
-0.220176
0.416406
0.687294
null
0.552101
0.927781
0.908818
null
1,193
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
-0.602398
null
0.604973
-0.521429
0.169879
null
0.826497
0.372659
1,194
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
-0.698681
null
0.224113
0.10045
0.073596
null
0.445636
0.994538
1,195
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
-0.319007
-0.347605
0.220056
null
0.45327
0.163771
0.441579
null
1,196
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
null
-0.403229
0.480077
-0.627138
null
0.108146
0.701601
0.26695
1,197
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
-0.532089
-0.230786
0.5252
null
0.240188
0.28059
0.746724
null
1,198
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
-0.198599
null
0.471705
-0.698278
0.573678
null
0.693228
0.19581
1,199
2,528
There were just 22 cases of meningitis W in 2009, but this shot up to 117 last year, according to Public Health England (file image) A major immunisation programme aims to protect teenagers against a potentially lethal new strain of meningitis after a steep rise in cases. There were just 22 cases of meningitis W in 200...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
87.646188
395
66.076696
0.772277
0.511376
0.221523
0.894088
0.000068
0.566029
0.177436
-0.42264
null
-0.232819
0.949713
0.088736
null
0.661269