Datasets:

google-research-datasets
/

poem_sentiment

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

End of preview. Expand in Data Studio

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}
}