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id (int32)verse_text (string)label (class label)
0
"with pale blue berries. in these peaceful shades--"
1 (positive)
1
"it flows so long as falls the rain,"
2 (no_impact)
2
"and that is why, the lonesome day,"
0 (negative)
3
"when i peruse the conquered fame of heroes, and the victories of mighty generals, i do not envy the generals,"
3 (mixed)
4
"of inward strife for truth and liberty."
3 (mixed)
5
"the red sword sealed their vows!"
3 (mixed)
6
"and very venus of a pipe."
2 (no_impact)
7
"who the man, who, called a brother."
2 (no_impact)
8
"and so on. then a worthless gaud or two,"
0 (negative)
9
"to hide the orb of truth--and every throne"
2 (no_impact)
10
"the call's more urgent when he journeys slow."
2 (no_impact)
11
"with the _quart d'heure_ of rabelais!"
2 (no_impact)
12
"and match, and bend, and thorough-blend, in her colossal form and face."
2 (no_impact)
13
"have i played in different countries."
2 (no_impact)
14
"tells us that the day is ended.""
2 (no_impact)
15
"and not alone by gold;"
2 (no_impact)
16
"that has a charmingly bourbon air."
1 (positive)
17
"sounded o'er earth and sea its blast of war,"
0 (negative)
18
"chief poet on the tiber-side"
2 (no_impact)
19
"as under a sunbeam a cloud ascends,"
2 (no_impact)
20
"brightly expressive as the twins of leda,"
1 (positive)
21
"of night, and all things now retir'd to rest"
2 (no_impact)
22
"in latmian fountains long ago."
2 (no_impact)
23
"in monumental pomp! no grecian drop"
1 (positive)
24
"and when they reached the house,"
2 (no_impact)
25
"then this old orchard, sloping to the west;"
2 (no_impact)
26
"so prythee get thee gone."
2 (no_impact)
27
"the other dark-eyed dears"
2 (no_impact)
28
"me honied paths forsake;"
2 (no_impact)
29
"to that mysterious strand."
2 (no_impact)
30
"wid a song up on de way."
2 (no_impact)
31
"her visions and those we have seen,--"
2 (no_impact)
32
"he sat beside the governor and said grace;"
2 (no_impact)
33
"fifty times the brahmins' offer deluged all the floor."
2 (no_impact)
34
"and what are all the prizes won"
2 (no_impact)
35
"made snow of all the blossoms; at my feet"
2 (no_impact)
36
"he never told us what he was,"
2 (no_impact)
37
"want and woe, which torture us,"
0 (negative)
38
"a ruby, and a pearl, or so,"
2 (no_impact)
39
"an echo returned on the cold gray morn,"
0 (negative)
40
"he says he’s hungry,—he would rather have"
2 (no_impact)
41
"while i, ... i built up follies like a wall"
0 (negative)
42
"and then he shut his little eyes,"
2 (no_impact)
43
"ah, what a pang of aching sharp surprise"
0 (negative)
44
"and gladys said,"
2 (no_impact)
45
"peep timidly from out its nest,"
2 (no_impact)
46
"the oriole's fledglings fifty times"
2 (no_impact)
47
"the hostile cohorts melt away;"
3 (mixed)
48
"and the old swallow-haunted barns,--"
0 (negative)
49
"from god's design, with threads of rain!"
2 (no_impact)
50
"how over, though, for even me who knew"
2 (no_impact)
51
"warped into adamantine fretwork, hung"
2 (no_impact)
52
"wilt thou forget the love that joined us here?"
2 (no_impact)
53
"the which she bearing home it burned her nest,"
0 (negative)
54
"have roughened in the gales!"
2 (no_impact)
55
"pilgrim and soldier, saint and sage,"
2 (no_impact)
56
"down in the west upon the ocean floor"
2 (no_impact)
57
""what did you hear, for instance?" willis said."
2 (no_impact)
58
"should favour equal to the sons of heaven:"
2 (no_impact)
59
"some, not so large, in rings,--"
2 (no_impact)
60
"the crown of sorrow on their heads, their loss"
0 (negative)
61
"the eternal law,"
2 (no_impact)
62
"and lips where heavenly smiles would hang and blend"
1 (positive)
63
"we're a band!" said the weary big dragoon."
2 (no_impact)
64
"fu' to ba' de battle's brunt."
2 (no_impact)
65
"and brief related whom they brought, wher found,"
2 (no_impact)
66
"i lay and watched the lonely gloom;"
0 (negative)
67
"honour to the bugle-horn!"
1 (positive)
68
"a sceptre,--monstrous, winged, intolerable."
0 (negative)
69
"max laid his hand upon the old man's arm,"
2 (no_impact)
70
"when on the boughs the purple buds expand,"
2 (no_impact)
71
"if the pure and holy angels"
1 (positive)
72
"endymion would have passed across the mead"
2 (no_impact)
73
"upon the thought of perfect noon. and when"
1 (positive)
74
"thy hands all cunning arts that women prize."
1 (positive)
75
"reasoning to admiration, and with mee"
1 (positive)
76
"while the rude winds blow off each shadowy crown."
0 (negative)
77
"the former, as the slacken’d reins he drew"
2 (no_impact)
78
"she falls back from the freedom she had hoped.""
2 (no_impact)
79
"then--i would gather it, to thee unaware,"
2 (no_impact)
80
"amidst the gold and the purple, and the pillows of his bed:"
2 (no_impact)
81
"all hastening onward, yet none seemed to know"
2 (no_impact)
82
"the wheat-blade whispers of the sheaf."
2 (no_impact)
83
"but o, nevermore can we prison him tight."
0 (negative)
84
"under these leafy vaults and walls,"
2 (no_impact)
85
"(distinctly here the spirit sneezed,)"
2 (no_impact)
86
"it shines superior on a throne of gold:"
1 (positive)
87
"around it cling."
2 (no_impact)
88
"may meditate a whole youth's loss,"
0 (negative)
89
"i'm safe enlisted fer the war,"
2 (no_impact)
90
"whom phoebus taught unerring prophecy,"
2 (no_impact)
91
"when thee, the eyes of that harsh long ago"
0 (negative)
92
"flutter,"
2 (no_impact)
93
"a way that safely will my passage guide.”"
2 (no_impact)
94
"and breaths were gathering sure"
2 (no_impact)
95
"you have done this, says one judge; done that, says another;"
2 (no_impact)
96
"in their archetypes endure."
2 (no_impact)
97
"returne, the starres of morn shall see him rise"
2 (no_impact)
98
"brown-gabled, long, and full of seams"
2 (no_impact)
99
"the foes inclosing, and his friend pursued,"
0 (negative)
End of preview (truncated to 100 rows)

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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