README.md

metadata

license: cc-by-4.0
task_categories:
  - text-classification
task_ids:
  - multi-label-classification
language:
  - ko
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
pretty_name: KPoEMEmotionClassification
tags:
  - poetry
  - korean
  - emotion-classification
  - multi-label-classification
  - kote
  - modern-poetry
  - mteb
  - poetrymteb
  - embedding-evaluation
annotations_creators:
  - expert-generated
source_datasets:
  - AKS-DHLAB/KPoEM
configs:
  - config_name: line
    data_files:
      - split: train
        path: line/train-*
      - split: validation
        path: line/validation-*
      - split: test
        path: line/test-*
    default: true
  - config_name: poem
    data_files:
      - split: train
        path: poem/train-*
      - split: validation
        path: poem/validation-*
      - split: test
        path: poem/test-*
dataset_info:
  - config_name: line
    features:
      - name: id
        dtype: string
      - name: poem_id
        dtype: string
      - name: line_id
        dtype: string
      - name: title
        dtype: string
      - name: poet
        dtype: string
      - name: poem
        dtype: string
      - name: labels
        sequence: int64
      - name: label_names
        sequence: string
      - name: label_names_en
        sequence: string
      - name: label_names_zh
        sequence: string
    splits:
      - name: train
        num_examples: 5638
      - name: validation
        num_examples: 575
      - name: test
        num_examples: 794
  - config_name: poem
    features:
      - name: id
        dtype: string
      - name: poem_id
        dtype: string
      - name: seg_id
        dtype: string
      - name: title
        dtype: string
      - name: sub_title
        dtype: string
      - name: poetry_book
        dtype: string
      - name: poet
        dtype: string
      - name: poem
        dtype: string
      - name: labels
        sequence: int64
      - name: label_names
        sequence: string
      - name: label_names_en
        sequence: string
      - name: label_names_zh
        sequence: string
    splits:
      - name: train
        num_examples: 489
      - name: validation
        num_examples: 59
      - name: test
        num_examples: 67

KPoEMEmotionClassification

Multi-label Korean modern poetry emotion classification for PoetryMTEB, derived from KPoEM (KOTE 44 emotions; 5 expert annotators).

Two configs mirror the upstream dual annotation layers:

Config	Unit	Description
line (default)	Verse line	Local emotion cues (lines partially shuffled upstream)
poem	Work / segment	Full-context emotion labels

Dataset Card

Item	Description
Source	Zenodo 15598092; AKS-DHLAB/KPoEM; code AKS-DHLAB/KPoEM
Paper	LIM, Kim & Ji, The Review of Korean Studies 29(1); also arXiv:2509.03932
Languages	Korean (ko)
Poets	김소월, 윤동주, 임화, 이상, 한용운
Labels	Multi-label subset of 44 KOTE emotions
Aggregation	Majority vote ≥3/5 annotators; if empty, keep top-vote emotion(s)
Splits	Shared poem_id split stratified by poet ≈ 80% / 10% / 10%, seed=42 (no poem crosses splits)
line size	train=5638; validation=575; test=794
poem size	train=489; validation=59; test=67
License	CC BY 4.0 (Zenodo)
Evaluation metrics	Multi-label classification on embeddings: macro/micro F1, Average Precision (AP)

Features

line

Field	Type	Description
id	string	Example id
poem_id	string	Poem id (split key)
line_id	string	Upstream line id
title	string	Poem title
poet	string	Poet
poem	string	Line text (classification input)
labels	list[int64]	Emotion indices
label_names	list[string]	Emotion names (Korean / KOTE)
label_names_en	list[string]	Emotion names (English; KOTE taxonomy)
label_names_zh	list[string]	Emotion names (Chinese gloss)

poem

Same as above, plus seg_id, sub_title, poetry_book; poem holds the work/segment text.

English glosses follow the KOTE / LREC 2024 label descriptions; Chinese glosses are provided for PoetryMTEB documentation.

Label taxonomy (44)

line counts

id	label_name (ko)	label_name_en	label_name_zh	train	validation	test	total
0	불안/걱정	anxiety/worry	焦虑/担心	1192	129	161	1482
1	슬픔	sadness	悲伤	876	83	145	1104
2	기대감	anticipation	期待	1131	109	115	1355
3	안타까움/실망	pitifulness/disappointment	惋惜/失望	930	74	122	1126
4	서러움	sorrow	哀伤	598	54	93	745
5	신기함/관심	curiosity/interest	新奇/兴趣	954	106	121	1181
6	비장함	resolute	悲壮/决绝	790	68	100	958
7	아껴주는	caring	疼爱/珍惜	792	49	146	987
8	감동/감탄	impressed/admiration	感动/赞叹	559	60	62	681
9	당황/난처	embarrassment/awkwardness	慌乱/尴尬	481	48	72	601
10	깨달음	realization	顿悟/领悟	379	56	72	507
11	힘듦/지침	fatigue/exhaustion	疲惫/精疲力尽	356	27	51	434
12	불쌍함/연민	pity/compassion	可怜/怜悯	442	43	73	558
13	부담/안_내킴	burden/unwillingness	负担/不情愿	312	28	43	383
14	기쁨	joy	喜悦	438	53	52	543
15	놀람	surprise	惊讶	322	29	59	410
16	흐뭇함(귀여움/예쁨)	pleased(cute/pretty)	欣慰(可爱/漂亮)	326	40	45	411
17	환영/호의	welcome/favor	欢迎/好感	154	19	16	189
18	불평/불만	complaint/dissatisfaction	抱怨/不满	189	25	34	248
19	절망	despair	绝望	152	16	22	190
20	의심/불신	doubt/distrust	怀疑/不信任	214	31	32	277
21	없음	NO EMOTION	无情感	343	30	49	422
22	행복	happiness	幸福	140	18	26	184
23	공포/무서움	fear/scary	恐惧/害怕	213	24	25	262
24	패배/자기혐오	defeat/self-hatred	挫败/自我厌弃	121	15	19	155
25	편안/쾌적	comfort/cozy	舒适/惬意	163	22	25	210
26	존경	respect	尊敬	124	19	24	167
27	안심/신뢰	relief/trust	安心/信任	66	6	16	88
28	즐거움/신남	pleasure/excitement	快乐/兴奋	115	12	13	140
29	지긋지긋	fed up	厌烦/受够了	62	7	17	86
30	경악	shock	惊骇	88	6	16	110
31	뿌듯함	pride	自豪/充实感	84	8	14	106
32	한심함	pathetic	可怜又可悲	87	10	14	111
33	고마움	gratitude	感激	66	7	20	93
34	화남/분노	anger/rage	生气/愤怒	77	6	9	92
35	증오/혐오	loathing/hatred	憎恶/仇恨	81	12	16	109
36	짜증	irritation	烦躁	48	5	9	62
37	부끄러움	shame	羞愧	46	4	4	54
38	죄책감	guilt	内疚	17	3	4	24
39	어이없음	preposterous	荒谬/无语	25	1	9	35
40	우쭐댐/무시함	arrogance/disregard	得意忘形/轻视	36	9	9	54
41	재미없음	boredom	无聊	19	2	7	28
42	귀찮음	laziness	嫌麻烦/懒得	9	1	4	14
43	역겨움/징그러움	disgust/repulsiveness	恶心/厌恶	27	1	6	34

poem counts

id	label_name (ko)	label_name_en	label_name_zh	train	validation	test	total
0	불안/걱정	anxiety/worry	焦虑/担心	162	18	18	198
1	슬픔	sadness	悲伤	232	26	35	293
2	기대감	anticipation	期待	96	12	10	118
3	안타까움/실망	pitifulness/disappointment	惋惜/失望	175	23	21	219
4	서러움	sorrow	哀伤	162	17	20	199
5	신기함/관심	curiosity/interest	新奇/兴趣	57	5	7	69
6	비장함	resolute	悲壮/决绝	143	13	15	171
7	아껴주는	caring	疼爱/珍惜	126	11	21	158
8	감동/감탄	impressed/admiration	感动/赞叹	72	9	5	86
9	당황/난처	embarrassment/awkwardness	慌乱/尴尬	30	2	4	36
10	깨달음	realization	顿悟/领悟	132	18	15	165
11	힘듦/지침	fatigue/exhaustion	疲惫/精疲力尽	77	9	16	102
12	불쌍함/연민	pity/compassion	可怜/怜悯	74	7	14	95
13	부담/안_내킴	burden/unwillingness	负担/不情愿	8	3	1	12
14	기쁨	joy	喜悦	26	2	2	30
15	놀람	surprise	惊讶	3	0	1	4
16	흐뭇함(귀여움/예쁨)	pleased(cute/pretty)	欣慰(可爱/漂亮)	39	4	5	48
17	환영/호의	welcome/favor	欢迎/好感	14	1	1	16
18	불평/불만	complaint/dissatisfaction	抱怨/不满	20	6	2	28
19	절망	despair	绝望	61	5	8	74
20	의심/불신	doubt/distrust	怀疑/不信任	16	2	4	22
21	없음	NO EMOTION	无情感	0	0	0	0
22	행복	happiness	幸福	21	4	3	28
23	공포/무서움	fear/scary	恐惧/害怕	23	5	2	30
24	패배/자기혐오	defeat/self-hatred	挫败/自我厌弃	31	8	8	47
25	편안/쾌적	comfort/cozy	舒适/惬意	14	3	2	19
26	존경	respect	尊敬	22	4	2	28
27	안심/신뢰	relief/trust	安心/信任	9	0	1	10
28	즐거움/신남	pleasure/excitement	快乐/兴奋	11	2	2	15
29	지긋지긋	fed up	厌烦/受够了	2	0	0	2
30	경악	shock	惊骇	8	0	1	9
31	뿌듯함	pride	自豪/充实感	12	1	1	14
32	한심함	pathetic	可怜又可悲	9	1	2	12
33	고마움	gratitude	感激	10	0	3	13
34	화남/분노	anger/rage	生气/愤怒	11	2	3	16
35	증오/혐오	loathing/hatred	憎恶/仇恨	11	2	3	16
36	짜증	irritation	烦躁	2	2	1	5
37	부끄러움	shame	羞愧	9	1	1	11
38	죄책감	guilt	内疚	5	3	0	8
39	어이없음	preposterous	荒谬/无语	5	0	0	5
40	우쭐댐/무시함	arrogance/disregard	得意忘形/轻视	2	1	0	3
41	재미없음	boredom	无聊	0	0	0	0
42	귀찮음	laziness	嫌麻烦/懒得	0	0	0	0
43	역겨움/징그러움	disgust/repulsiveness	恶心/厌恶	1	0	1	2

Codebook: label_taxonomy.json.

Citation

@article{10.25024/REVIEW.2026.29.1.006,
  author    = {LIM I RO and Kim, Byungjun and Haein Ji},
  title     = {KPoEM: A Human-Annotated Dataset for Emotion Classification and RAG-Based Poetry Generation in Korean Modern Poetry},
  journal   = {The Review of Korean Studies},
  publisher = {한국학중앙연구원},
  volume    = {29},
  number    = {1},
  year      = {2025},
  url       = {https://doi.org/10.25024/review.2026.29.1.161}
}

Dataset DOI: 10.5281/zenodo.15598092