PhraseId
int64
SentenceId
int64
Phrase
string
Sentiment
float64
num_words
int64
TrainValTest
string
1
1
A series of escapades demonstrating the adage that what is good for the goose is also good for the gander , some of which occasionally amuses but none of which amounts to much of a story .
1
37
Train
2
1
A series of escapades demonstrating the adage that what is good for the goose
2
14
Train
3
1
A series
2
2
Train
4
1
A
2
1
Train
5
1
series
2
1
Train
6
1
of escapades demonstrating the adage that what is good for the goose
2
12
Train
7
1
of
2
1
Train
8
1
escapades demonstrating the adage that what is good for the goose
2
11
Train
9
1
escapades
2
1
Train
10
1
demonstrating the adage that what is good for the goose
2
10
Train
11
1
demonstrating the adage
2
3
Validate
12
1
demonstrating
2
1
Validate
13
1
the adage
2
2
Validate
14
1
the
2
1
Train
15
1
adage
2
1
Validate
16
1
that what is good for the goose
2
7
Train
17
1
that
2
1
Train
18
1
what is good for the goose
2
6
Validate
19
1
what
2
1
Train
20
1
is good for the goose
2
5
Train
21
1
is
2
1
Train
22
1
good for the goose
3
4
Train
23
1
good
3
1
Train
24
1
for the goose
2
3
Train
25
1
for
2
1
Train
26
1
the goose
2
2
Train
27
1
goose
2
1
Train
28
1
is also good for the gander , some of which occasionally amuses but none of which amounts to much of a story .
2
23
Train
29
1
is also good for the gander , some of which occasionally amuses but none of which amounts to much of a story
2
22
Train
30
1
is also
2
2
Train
31
1
also
2
1
Train
32
1
good for the gander , some of which occasionally amuses but none of which amounts to much of a story
2
20
Train
33
1
for the gander , some of which occasionally amuses but none of which amounts to much of a story
2
19
Train
34
1
the gander , some of which occasionally amuses but none of which amounts to much of a story
1
18
Train
35
1
the gander ,
2
3
Train
36
1
the gander
2
2
Validate
37
1
gander
2
1
Train
38
1
,
2
1
Train
39
1
some of which occasionally amuses but none of which amounts to much of a story
2
15
Train
40
1
some of which
2
3
Train
41
1
some
2
1
Train
42
1
of which
2
2
Train
43
1
which
2
1
Train
44
1
occasionally amuses but none of which amounts to much of a story
2
12
Train
45
1
occasionally
2
1
Train
46
1
amuses but none of which amounts to much of a story
2
11
Train
47
1
amuses
3
1
Train
48
1
but none of which amounts to much of a story
1
10
Validate
49
1
but
2
1
Validate
50
1
none of which amounts to much of a story
1
9
Train
51
1
none
2
1
Train
52
1
of which amounts to much of a story
2
8
Train
53
1
which amounts to much of a story
2
7
Train
54
1
amounts to much of a story
2
6
Train
55
1
amounts
2
1
Train
56
1
to much of a story
2
5
Validate
57
1
to
2
1
Validate
58
1
much of a story
2
4
Train
59
1
much
2
1
Train
60
1
of a story
2
3
Validate
61
1
a story
2
2
Train
62
1
story
2
1
Train
63
1
.
2
1
Train
64
2
This quiet , introspective and entertaining independent is worth seeking .
4
11
Validate
65
2
This quiet , introspective and entertaining independent
3
7
Train
66
2
This
2
1
Train
67
2
quiet , introspective and entertaining independent
4
6
Train
68
2
quiet , introspective and entertaining
3
5
Validate
69
2
quiet
2
1
Validate
70
2
, introspective and entertaining
3
4
Train
71
2
introspective and entertaining
3
3
Train
72
2
introspective and
3
2
Train
73
2
introspective
2
1
Validate
74
2
and
2
1
Train
75
2
entertaining
4
1
Train
76
2
independent
2
1
Validate
77
2
is worth seeking .
3
4
Train
78
2
is worth seeking
4
3
Validate
79
2
is worth
2
2
Train
80
2
worth
2
1
Train
81
2
seeking
2
1
Train
82
3
Even fans of Ismail Merchant 's work , I suspect , would have a hard time sitting through this one .
1
21
Train
83
3
Even fans of Ismail Merchant 's work
2
7
Train
84
3
Even fans
2
2
Train
85
3
Even
2
1
Train
86
3
fans
3
1
Train
87
3
of Ismail Merchant 's work
2
5
Train
88
3
Ismail Merchant 's work
2
4
Validate
89
3
Ismail Merchant 's
2
3
Validate
90
3
Ismail
2
1
Train
91
3
Merchant 's
2
2
Validate
92
3
Merchant
2
1
Validate
93
3
's
2
1
Train
94
3
work
2
1
Train
95
3
, I suspect , would have a hard time sitting through this one .
1
14
Train
96
3
, I suspect ,
2
4
Validate
97
3
I suspect ,
2
3
Train
98
3
I suspect
2
2
Validate
99
3
I
2
1
Train
100
3
suspect
2
1
Train
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

This dataset has been generated using "Sentiment Analysis on Movie Reviews" hosted in Kaggle dataset. Both train and test data have been merged into a single file, and 'TrainValTest' field is used to indicate train, validation, and the test split for the dataset.

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