id
int32
0
891
verse_text
stringlengths
7
109
label
class label
4 classes
0
with pale blue berries. in these peaceful shades--
1positive
1
it flows so long as falls the rain,
2no_impact
2
and that is why, the lonesome day,
0negative
3
when i peruse the conquered fame of heroes, and the victories of mighty generals, i do not envy the generals,
3mixed
4
of inward strife for truth and liberty.
3mixed
5
the red sword sealed their vows!
3mixed
6
and very venus of a pipe.
2no_impact
7
who the man, who, called a brother.
2no_impact
8
and so on. then a worthless gaud or two,
0negative
9
to hide the orb of truth--and every throne
2no_impact
10
the call's more urgent when he journeys slow.
2no_impact
11
with the _quart d'heure_ of rabelais!
2no_impact
12
and match, and bend, and thorough-blend, in her colossal form and face.
2no_impact
13
have i played in different countries.
2no_impact
14
tells us that the day is ended."
2no_impact
15
and not alone by gold;
2no_impact
16
that has a charmingly bourbon air.
1positive
17
sounded o'er earth and sea its blast of war,
0negative
18
chief poet on the tiber-side
2no_impact
19
as under a sunbeam a cloud ascends,
2no_impact
20
brightly expressive as the twins of leda,
1positive
21
of night, and all things now retir'd to rest
2no_impact
22
in latmian fountains long ago.
2no_impact
23
in monumental pomp! no grecian drop
1positive
24
and when they reached the house,
2no_impact
25
then this old orchard, sloping to the west;
2no_impact
26
so prythee get thee gone.
2no_impact
27
the other dark-eyed dears
2no_impact
28
me honied paths forsake;
2no_impact
29
to that mysterious strand.
2no_impact
30
wid a song up on de way.
2no_impact
31
her visions and those we have seen,--
2no_impact
32
he sat beside the governor and said grace;
2no_impact
33
fifty times the brahmins' offer deluged all the floor.
2no_impact
34
and what are all the prizes won
2no_impact
35
made snow of all the blossoms; at my feet
2no_impact
36
he never told us what he was,
2no_impact
37
want and woe, which torture us,
0negative
38
a ruby, and a pearl, or so,
2no_impact
39
an echo returned on the cold gray morn,
0negative
40
he says he’s hungry,—he would rather have
2no_impact
41
while i, ... i built up follies like a wall
0negative
42
and then he shut his little eyes,
2no_impact
43
ah, what a pang of aching sharp surprise
0negative
44
and gladys said,
2no_impact
45
peep timidly from out its nest,
2no_impact
46
the oriole's fledglings fifty times
2no_impact
47
the hostile cohorts melt away;
3mixed
48
and the old swallow-haunted barns,--
0negative
49
from god's design, with threads of rain!
2no_impact
50
how over, though, for even me who knew
2no_impact
51
warped into adamantine fretwork, hung
2no_impact
52
wilt thou forget the love that joined us here?
2no_impact
53
the which she bearing home it burned her nest,
0negative
54
have roughened in the gales!
2no_impact
55
pilgrim and soldier, saint and sage,
2no_impact
56
down in the west upon the ocean floor
2no_impact
57
"what did you hear, for instance?" willis said.
2no_impact
58
should favour equal to the sons of heaven:
2no_impact
59
some, not so large, in rings,--
2no_impact
60
the crown of sorrow on their heads, their loss
0negative
61
the eternal law,
2no_impact
62
and lips where heavenly smiles would hang and blend
1positive
63
we're a band!" said the weary big dragoon.
2no_impact
64
fu' to ba' de battle's brunt.
2no_impact
65
and brief related whom they brought, wher found,
2no_impact
66
i lay and watched the lonely gloom;
0negative
67
honour to the bugle-horn!
1positive
68
a sceptre,--monstrous, winged, intolerable.
0negative
69
max laid his hand upon the old man's arm,
2no_impact
70
when on the boughs the purple buds expand,
2no_impact
71
if the pure and holy angels
1positive
72
endymion would have passed across the mead
2no_impact
73
upon the thought of perfect noon. and when
1positive
74
thy hands all cunning arts that women prize.
1positive
75
reasoning to admiration, and with mee
1positive
76
while the rude winds blow off each shadowy crown.
0negative
77
the former, as the slacken’d reins he drew
2no_impact
78
she falls back from the freedom she had hoped."
2no_impact
79
then--i would gather it, to thee unaware,
2no_impact
80
amidst the gold and the purple, and the pillows of his bed:
2no_impact
81
all hastening onward, yet none seemed to know
2no_impact
82
the wheat-blade whispers of the sheaf.
2no_impact
83
but o, nevermore can we prison him tight.
0negative
84
under these leafy vaults and walls,
2no_impact
85
(distinctly here the spirit sneezed,)
2no_impact
86
it shines superior on a throne of gold:
1positive
87
around it cling.
2no_impact
88
may meditate a whole youth's loss,
0negative
89
i'm safe enlisted fer the war,
2no_impact
90
whom phoebus taught unerring prophecy,
2no_impact
91
when thee, the eyes of that harsh long ago
0negative
92
flutter,
2no_impact
93
a way that safely will my passage guide.”
2no_impact
94
and breaths were gathering sure
2no_impact
95
you have done this, says one judge; done that, says another;
2no_impact
96
in their archetypes endure.
2no_impact
97
returne, the starres of morn shall see him rise
2no_impact
98
brown-gabled, long, and full of seams
2no_impact
99
the foes inclosing, and his friend pursued,
0negative

Dataset Card for Gutenberg Poem Dataset

Dataset Summary

Poem Sentiment is a sentiment dataset of poem verses from Project Gutenberg. This dataset can be used for tasks such as sentiment classification or style transfer for poems.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

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

Dataset Structure

Data Instances

Example of one instance in the dataset.

{'id': 0, 'label': 2, 'verse_text': 'with pale blue berries. in these peaceful shades--'}

Data Fields

  • id: index of the example
  • verse_text: The text of the poem verse
  • label: The sentiment label. Here
    • 0 = negative
    • 1 = positive
    • 2 = no impact
    • 3 = mixed (both negative and positive)

      Note: The original dataset uses different label indices (negative = -1, no impact = 0, positive = 1)

Data Splits

The dataset is split into a train, validation, and test split with the following sizes:

train validation test
Number of examples 892 105 104

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

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

This work is licensed under a Creative Commons Attribution 4.0 International License

Citation Information

@misc{sheng2020investigating,
      title={Investigating Societal Biases in a Poetry Composition System},
      author={Emily Sheng and David Uthus},
      year={2020},
      eprint={2011.02686},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Contributions

Thanks to @patil-suraj for adding this dataset.

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