Datasets:

stanfordnlp
/

sst2

idx int32 0 67.3k	sentence stringlengths 2 268	label 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

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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",
}