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The Director-General of the BBC is being protected by an elite squad of bodyguards after receiving a chilling death threat over the sacking of Jeremy Clarkson. Tony Hall and his wife Cynthia have been guarded round the clock at their home since a terrifying email was sent to the BBC just hours after he took the dramati...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
105.638095
1,199
66.262815
0.772277
0.726333
0.783368
0.900562
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The Director-General of the BBC is being protected by an elite squad of bodyguards after receiving a chilling death threat over the sacking of Jeremy Clarkson. Tony Hall and his wife Cynthia have been guarded round the clock at their home since a terrifying email was sent to the BBC just hours after he took the dramati...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
105.638095
1,199
66.262815
0.772277
0.726333
0.783368
0.900562
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2.541449
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The Director-General of the BBC is being protected by an elite squad of bodyguards after receiving a chilling death threat over the sacking of Jeremy Clarkson. Tony Hall and his wife Cynthia have been guarded round the clock at their home since a terrifying email was sent to the BBC just hours after he took the dramati...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
105.638095
1,199
66.262815
0.772277
0.726333
0.783368
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2.541449
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The Director-General of the BBC is being protected by an elite squad of bodyguards after receiving a chilling death threat over the sacking of Jeremy Clarkson. Tony Hall and his wife Cynthia have been guarded round the clock at their home since a terrifying email was sent to the BBC just hours after he took the dramati...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
105.638095
1,199
66.262815
0.772277
0.726333
0.783368
0.900562
0.000306
2.541449
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The Director-General of the BBC is being protected by an elite squad of bodyguards after receiving a chilling death threat over the sacking of Jeremy Clarkson. Tony Hall and his wife Cynthia have been guarded round the clock at their home since a terrifying email was sent to the BBC just hours after he took the dramati...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
105.638095
1,199
66.262815
0.772277
0.726333
0.783368
0.900562
0.000306
2.541449
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The Director-General of the BBC is being protected by an elite squad of bodyguards after receiving a chilling death threat over the sacking of Jeremy Clarkson. Tony Hall and his wife Cynthia have been guarded round the clock at their home since a terrifying email was sent to the BBC just hours after he took the dramati...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
105.638095
1,199
66.262815
0.772277
0.726333
0.783368
0.900562
0.000306
2.541449
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The Director-General of the BBC is being protected by an elite squad of bodyguards after receiving a chilling death threat over the sacking of Jeremy Clarkson. Tony Hall and his wife Cynthia have been guarded round the clock at their home since a terrifying email was sent to the BBC just hours after he took the dramati...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
105.638095
1,199
66.262815
0.772277
0.726333
0.783368
0.900562
0.000306
2.541449
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The Director-General of the BBC is being protected by an elite squad of bodyguards after receiving a chilling death threat over the sacking of Jeremy Clarkson. Tony Hall and his wife Cynthia have been guarded round the clock at their home since a terrifying email was sent to the BBC just hours after he took the dramati...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
10.6
105.638095
1,199
66.262815
0.772277
0.726333
0.783368
0.900562
0.000306
2.541449
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
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52.818035
0.435644
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609
3,852
Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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3,852
Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
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0.459818
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
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52.818035
0.435644
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0.459818
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
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0.459818
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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null
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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622
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
null
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
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null
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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625
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
null
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
null
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
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null
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
-0.109293
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null
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null
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Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
null
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null
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0.919219
638
3,852
Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
null
-0.459336
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0.442436
null
0.10722
0.092608
0.875349
639
3,852
Being a well-bred man he had not (like another recent ducal visitor) come to the dinner in a shooting-jacket; but his evening clothes were so shabby and baggy, and he wore them with such an air of their being homespun, that (with his stooping way of sitting, and the vast beard spreading over his shirt-front) he hardly ...
Dataset: kmfoda/booksum/validation
7.2
92.264762
736
52.818035
0.435644
0.566556
0.459818
0.432913
0.000158
1.315888
-0.324202
null
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null
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640
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
0.15372
0.183335
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null
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null
641
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
null
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null
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0.433622
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642
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
null
0.384691
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null
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643
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.282552
0.403933
null
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null
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644
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
null
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null
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645
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A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
0.176932
-0.556512
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null
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null
646
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A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
null
0.394643
0.381672
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null
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647
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A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
0.270358
0.165856
null
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null
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648
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A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.416005
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null
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null
649
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A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
0.303794
-0.397582
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null
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null
650
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A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
null
0.242017
0.127064
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null
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651
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.559084
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null
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null
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652
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.418931
0.220011
0.35228
null
0.165228
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null
653
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
0.151254
null
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null
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654
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
null
0.402465
0.393155
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null
0.970475
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655
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.520898
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null
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null
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656
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
0.108788
null
0.381414
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null
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657
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.506846
null
-0.284835
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null
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658
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
0.257641
null
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null
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659
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.352849
null
-0.447294
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null
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660
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
null
-0.102953
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null
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661
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A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.204523
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null
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662
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A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
null
0.269479
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663
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.313269
-0.523663
null
-0.310746
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null
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664
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A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
0.363474
null
0.393338
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null
0.934218
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665
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.100499
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null
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null
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666
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
null
-0.482997
0.281862
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null
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667
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
null
-0.399642
0.210786
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null
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668
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.351869
null
-0.302086
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null
0.238794
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A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.32115
-0.34552
null
-0.370591
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null
0.467302
670
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A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
-0.363399
0.216798
null
-0.260339
0.220759
0.784808
null
0.577554
671
803
A former mayor and her daughter have been banned from owning animals after they kept almost 70 pets in squalid conditions at their home. Pamela Ann Crisp-Beard, 63, and her daughter Maria, 24, kept a menagerie at their cramped semi-detached property in Horncastle, Lincolnshire. Their pets included 15 rabbits, a golden ...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
8.7
92.386458
852
64.461119
0.584158
0.56801
0.540881
0.837894
0.00015
1.246932
null
-0.176586
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null
0.391423
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0.616443
672
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
null
0.208578
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null
0.935929
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673
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.20902
null
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null
0.410138
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674
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.442669
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null
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null
675
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.388476
-0.518914
null
-0.613826
0.611524
0.208437
null
0.189485
676
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.350034
-0.132289
-0.50708
null
0.649966
0.595062
0.49292
null
677
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.623665
0.206738
-0.403874
null
0.376335
0.934089
0.596126
null
678
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.67717
-0.13702
-0.383159
null
0.32283
0.590332
0.616841
null
679
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.633956
null
-0.197703
0.102841
0.366044
null
0.802297
0.906152
680
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.338292
-0.13787
-0.630907
null
0.661708
0.589481
0.369093
null
681
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
null
-0.544919
-0.171907
-0.564148
null
0.182432
0.828093
0.239163
682
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.511914
null
-0.31699
-0.212747
0.488086
null
0.68301
0.590565
683
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.632793
null
-0.380292
-0.371635
0.367207
null
0.619708
0.431676
684
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.111341
null
-0.629196
-0.172928
0.888659
null
0.370804
0.630384
685
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.642851
-0.678775
-0.457824
null
0.357149
0.048576
0.542176
null
686
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.59507
-0.180282
null
-0.195049
0.40493
0.547069
null
0.608262
687
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
null
-0.174621
-0.578276
-0.180529
null
0.552731
0.421724
0.622782
688
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.102629
-0.185686
null
0.143165
0.897371
0.541665
null
0.946476
689
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.690489
-0.136026
null
-0.657032
0.309511
0.591326
null
0.146279
690
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.429961
-0.541824
null
-0.247471
0.570039
0.185528
null
0.555841
691
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
null
-0.344596
-0.532396
-0.442649
null
0.382756
0.467604
0.360662
692
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.604276
0.184226
null
0.114765
0.395724
0.911578
null
0.918076
693
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.356993
-0.443745
-0.266166
null
0.643007
0.283606
0.733834
null
694
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.400535
-0.614899
null
-0.532053
0.599465
0.112453
null
0.271258
695
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
null
-0.421769
-0.646107
-0.521069
null
0.305582
0.353893
0.282242
696
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.64449
-0.622008
null
0.196584
0.35551
0.105344
null
0.999895
697
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.69869
-0.20653
-0.615254
null
0.30131
0.520821
0.384746
null
698
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.64382
null
-0.333444
-0.699117
0.35618
null
0.666556
0.104195
699
1,692
The families of two Australian drug smugglers today made the torturous journey to Indonesia's notorious 'Death Island' to say their final goodbyes before the pair are executed by firing squad. Andrew Chan and Myuran Sukumaran were convicted of being ringleaders of the so-called Bali Nine, who were arrested at the isl...
Dataset: ccdv/cnn_dailymail/3.0.0/validation
13
105.723359
2,039
63.466889
1
0.727351
1
0.803311
0.00057
4.735839
-0.163596
null
-0.542398
-0.165445
0.836404
null
0.457602
0.637866