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int32
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sentence
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class label
2 classes
0
hide new secretions from the parental units
0negative
1
contains no wit , only labored gags
0negative
2
that loves its characters and communicates something rather beautiful about human nature
1positive
3
remains utterly satisfied to remain the same throughout
0negative
4
on the worst revenge-of-the-nerds clichés the filmmakers could dredge up
0negative
5
that 's far too tragic to merit such superficial treatment
0negative
6
demonstrates that the director of such hollywood blockbusters as patriot games can still turn out a small , personal film with an emotional wallop .
1positive
7
of saucy
1positive
8
a depressed fifteen-year-old 's suicidal poetry
0negative
9
are more deeply thought through than in most ` right-thinking ' films
1positive
10
goes to absurd lengths
0negative
11
for those moviegoers who complain that ` they do n't make movies like they used to anymore
0negative
12
the part where nothing 's happening ,
0negative
13
saw how bad this movie was
0negative
14
lend some dignity to a dumb story
0negative
15
the greatest musicians
1positive
16
cold movie
0negative
17
with his usual intelligence and subtlety
1positive
18
redundant concept
0negative
19
swimming is above all about a young woman 's face , and by casting an actress whose face projects that woman 's doubts and yearnings , it succeeds .
1positive
20
equals the original and in some ways even betters it
1positive
21
if anything , see it for karen black , who camps up a storm as a fringe feminist conspiracy theorist named dirty dick .
1positive
22
a smile on your face
1positive
23
comes from the brave , uninhibited performances
1positive
24
excruciatingly unfunny and pitifully unromantic
0negative
25
enriched by an imaginatively mixed cast of antic spirits
1positive
26
which half of dragonfly is worse : the part where nothing 's happening , or the part where something 's happening
0negative
27
in world cinema
1positive
28
very good viewing alternative
1positive
29
the plot is nothing but boilerplate clichés from start to finish ,
0negative
30
the action is stilted
0negative
31
on all cylinders
1positive
32
will find little of interest in this film , which is often preachy and poorly acted
0negative
33
by far the worst movie of the year
0negative
34
sit through ,
0negative
35
more than another `` best man '' clone by weaving a theme throughout this funny film
1positive
36
it 's about issues most adults have to face in marriage and i think that 's what i liked about it -- the real issues tucked between the silly and crude storyline
1positive
37
heroes
1positive
38
oblivious to the existence of this film
0negative
39
sharply
1positive
40
the entire point of a shaggy dog story , of course , is that it goes nowhere , and this is classic nowheresville in every sense .
0negative
41
sometimes dry
0negative
42
as they come , already having been recycled more times than i 'd care to count
0negative
43
covers this territory with wit and originality , suggesting that with his fourth feature
1positive
44
a $ 40 million version of a game
0negative
45
gorgeous and deceptively minimalist
1positive
46
cross swords with the best of them and
1positive
47
as a fringe feminist conspiracy theorist
0negative
48
proves once again he has n't lost his touch , bringing off a superb performance in an admittedly middling film .
1positive
49
disappointments
0negative
50
the horrors
0negative
51
a muddle splashed with bloody beauty as vivid as any scorsese has ever given us .
1positive
52
many pointless
0negative
53
a beautifully
1positive
54
contrived , well-worn situations
0negative
55
a doa
0negative
56
poor ben bratt could n't find stardom if mapquest emailed him point-to-point driving directions .
0negative
57
to be as subtle and touching as the son 's room
1positive
58
starts with a legend
1positive
59
far less sophisticated and
0negative
60
rich veins of funny stuff in this movie
1positive
61
no apparent joy
0negative
62
shot on ugly digital video
0negative
63
... a sour little movie at its core ; an exploration of the emptiness that underlay the relentless gaiety of the 1920 's ... the film 's ending has a `` what was it all for ? ''
0negative
64
though ford and neeson capably hold our interest , but its just not a thrilling movie
0negative
65
is pretty damned funny .
1positive
66
we never feel anything for these characters
0negative
67
's a lousy one at that
0negative
68
the corporate circus that is the recording industry in the current climate of mergers and downsizing
0negative
69
the storylines are woven together skilfully , the magnificent swooping aerial shots are breathtaking , and the overall experience is awesome .
1positive
70
of the most highly-praised disappointments i
0negative
71
sounds like a cruel deception carried out by men of marginal intelligence , with reactionary ideas about women and a total lack of empathy .
0negative
72
seem fresh
1positive
73
to the dustbin of history
0negative
74
as a director , eastwood is off his game
0negative
75
pays earnest homage to turntablists
1positive
76
weak and
0negative
77
skip this dreck ,
0negative
78
contains very few laughs and even less surprises
0negative
79
film to affirm love 's power to help people endure almost unimaginable horror
1positive
80
are an absolute joy
1positive
81
generates
1positive
82
, like life , is n't much fun without the highs and lows
1positive
83
based on a true and historically significant story
1positive
84
well-rounded tribute
1positive
85
, though many of the actors throw off a spark or two when they first appear , they ca n't generate enough heat in this cold vacuum of a comedy to start a reaction .
0negative
86
so much like a young robert deniro
1positive
87
khouri manages , with terrific flair , to keep the extremes of screwball farce and blood-curdling family intensity on one continuum .
1positive
88
fashioning an engrossing entertainment out
1positive
89
spiffy animated feature
1positive
90
that 's so sloppily written and cast that you can not believe anyone more central to the creation of bugsy than the caterer
0negative
91
alternating between facetious comic parody and pulp melodrama , this smart-aleck movie ... tosses around some intriguing questions about the difference between human and android life
1positive
92
strung-together moments
0negative
93
, generous and subversive artworks
1positive
94
it does n't follow the stale , standard , connect-the-dots storyline which has become commonplace in movies that explore the seamy underbelly of the criminal world
1positive
95
funny yet
1positive
96
overbearing and over-the-top
0negative
97
it 's robert duvall !
1positive
98
rich and sudden wisdom
1positive
99
acted and directed , it 's clear that washington most certainly has a new career ahead of him
1positive

Dataset Card for [Dataset Name]

Dataset Summary

The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the compositional effects of sentiment in language. The corpus is based on the dataset introduced by Pang and Lee (2005) and consists of 11,855 single sentences extracted from movie reviews. It was parsed with the Stanford parser and includes a total of 215,154 unique phrases from those parse trees, each annotated by 3 human judges.

Binary classification experiments on full sentences (negative or somewhat negative vs somewhat positive or positive with neutral sentences discarded) refer to the dataset as SST-2 or SST binary.

Supported Tasks and Leaderboards

  • sentiment-classification

Languages

The text in the dataset is in English (en).

Dataset Structure

Data Instances

{'idx': 0,
 'sentence': 'hide new secretions from the parental units ',
 'label': 0}

Data Fields

  • idx: Monotonically increasing index ID.
  • sentence: Complete sentence expressing an opinion about a film.
  • label: Sentiment of the opinion, either "negative" (0) or positive (1). The test set labels are hidden (-1).

Data Splits

train validation test
Number of examples 67349 872 1821

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

Rotten Tomatoes reviewers.

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

Unknown.

Citation Information

@inproceedings{socher-etal-2013-recursive,
    title = "Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank",
    author = "Socher, Richard  and
      Perelygin, Alex  and
      Wu, Jean  and
      Chuang, Jason  and
      Manning, Christopher D.  and
      Ng, Andrew  and
      Potts, Christopher",
    booktitle = "Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2013",
    address = "Seattle, Washington, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/D13-1170",
    pages = "1631--1642",
}

Contributions

Thanks to @albertvillanova for adding this dataset.

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