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Datasets:
jsisonou
/
narrative-engine-emotion-5c

Modalities:
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csv
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English
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< 1K
Tags:
research-only
non-commercial
academic
free
vad
5c
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scene_idx
int64
1
14
valence
float64
0.05
0.95
arousal
float64
0.3
0.95
dominance
float64
0.1
0.9
label
stringlengths
3
14
1
0.75
0.6
0.9
pride
2
0.2
0.925
0.5
anger
3
0.43
0.83
0.41
astonishment
4
0.388
0.75
0.312
nervousness
5
0.175
0.783
0.333
tension
6
0.2
0.9
0.3
fear
7
0.63
0.61
0.46
longing
8
0.3
0.6
0.3
worry
9
0.5
0.5
0.5
longing
1
0.3
0.6
0.3
worry
2
0.2
0.95
0.4
anger
3
0.4
0.5
0.3
confusion
4
0.425
0.9
0.525
astonishment
5
0.75
0.675
0.55
fascination
6
0.5
0.5
0.5
longing
7
0.9
0.5
0.8
compassion
8
0.9
0.5
0.733
grateful
1
0.5
0.5
0.5
longing
2
0.7
0.6
0.6
interest
3
0.2
0.8
0.4
tension
4
0.7
0.6
0.6
interest
5
0.45
0.875
0.35
astonishment
1
0.8
0.5
0.6
hope
2
0.225
0.825
0.45
tension
3
0.2
0.95
0.2
shock
4
0.77
0.58
0.5
sympathy
5
0.5
0.5
0.5
longing
6
0.5
0.5
0.5
longing
7
0.183
0.5
0.333
disappointment
8
0.1
0.4
0.2
sorrow
1
0.5
0.5
0.5
longing
2
0.5
0.5
0.5
longing
3
0.5
0.5
0.5
longing
4
0.1
0.8
0.45
tension
5
0.5
0.5
0.5
longing
6
0.3
0.6
0.5
annoyed
7
0.7
0.6
0.6
interest
8
0.5
0.5
0.5
longing
9
0.9
0.6
0.6
amusement
10
0.3
0.6
0.3
worry
11
0.15
0.7
0.6
resentment
12
0.183
0.883
0.283
fear
13
0.3
0.6
0.5
annoyed
14
0.85
0.4
0.7
relief
1
0.5
0.5
0.5
longing
2
0.5
0.5
0.5
longing
3
0.55
0.95
0.6
astonishment
4
0.2
0.95
0.4
anger
5
0.05
0.7
0.1
despair
1
0.3
0.6
0.3
worry
2
0.5
0.5
0.5
longing
3
0.6
0.55
0.45
longing
4
0.5
0.5
0.5
longing
5
0.75
0.6
0.7
curiosity
6
0.2
0.9
0.3
fear
1
0.483
0.667
0.433
longing
2
0.54
0.66
0.54
longing
3
0.45
0.6
0.55
irritation
4
0.443
0.736
0.464
impatience
5
0.225
0.65
0.4
envy
6
0.15
0.5
0.3
hurt
7
0.75
0.525
0.75
curiosity
8
0.693
0.607
0.543
interest
9
0.664
0.529
0.486
sympathy
10
0.3
0.6
0.3
worry
1
0.35
0.6
0.55
irritation
2
0.662
0.475
0.562
absorption
3
0.65
0.5
0.6
absorption
4
0.167
0.9
0.333
fear
5
0.45
0.6
0.55
irritation
6
0.55
0.55
0.5
longing
7
0.183
0.667
0.467
bitterness
8
0.5
0.5
0.5
longing
1
0.5
0.5
0.5
longing
2
0.35
0.731
0.537
impatience
3
0.375
0.95
0.45
anger
4
0.51
0.72
0.64
anticipation
5
0.4
0.595
0.485
irritation
6
0.267
0.6
0.283
worry
7
0.5
0.5
0.5
longing
1
0.542
0.621
0.537
longing
2
0.75
0.49
0.7
trust
3
0.393
0.729
0.407
impatience
4
0.588
0.525
0.55
longing
1
0.2
0.5
0.325
disappointment
2
0.25
0.8
0.3
nervousness
3
0.328
0.694
0.406
envy
4
0.5
0.5
0.5
longing
5
0.3
0.6
0.3
worry
1
0.5
0.5
0.5
longing
2
0.2
0.586
0.307
guilt
3
0.45
0.533
0.433
confusion
4
0.5
0.5
0.5
longing
5
0.7
0.512
0.637
absorption
1
0.65
0.5
0.6
absorption
2
0.213
0.675
0.425
jealousy
3
0.2
0.95
0.4
anger
4
0.483
0.533
0.383
confusion
1
0.2
0.8
0.4
tension
2
0.35
0.6
0.45
annoyed
End of preview. Expand in Data Studio

Try the PV Peak/Valley Explorer
🔗 PV Radar (Beta) Space: https://huggingface.co/spaces/jsisonou/narrative-engine-pv-radar-beta
Use this dataset’s sample files to test:

  • Curve Mode: upload book_curve.scene.csv → Run
  • Text Mode: paste one scene per line → Run
    You’ll get pv_pred (per-scene labels), arc_summary (global peak/valley), and score curves.
    Assistive only; human-in-the-loop. No model weights or training recipes are exposed.

⚠️ This repository is no longer maintained.
👉 Please visit the new repository: Narrative Engine Emotion (5c)

Open access (no fee) for academic & non-commercial research. For extended columns (conf, plot_break), request no-fee access to the 7c tier → 7c Core (No-fee, Access Request)

Tier Columns Access
5c scene_idx, valence, arousal, dominance, label Open (no fee)
7c 5c + conf, plot_break No-fee (access request)

Try the PV Peak/Valley Explorer
🔗 PV Radar (Beta) Space: https://huggingface.co/spaces/jsisonou/narrative-engine-pv-radar-beta
Use this dataset’s sample files to test:

  • Curve Mode: upload book_curve.scene.csv → Run
  • Text Mode: paste one scene per line → Run
    You’ll get pv_pred (per-scene labels), arc_summary (global peak/valley), and score curves.
    Assistive only; human-in-the-loop. No model weights or training recipes are exposed.

What’s inside (5 columns)

  • scene_idx — integer index (monotonic)
  • valence — [-1.0, 1.0]
  • arousal — [0.0, 1.0]
  • dominance — [0.0, 1.0]
  • label — {joy, sadness, anger, fear, disgust, surprise, trust, anticipation}

No raw narrative text is included.

Sample (CSV) 

scene_idx,valence,arousal,dominance,label
1,0.12,0.55,0.48,anticipation
2,-0.42,0.64,0.51,fear
3,0.58,0.47,0.46,joy

Files

  • data/v1_0/vol01/ep001/5c_curve.csv — dataset (5 columns)
  • schema/public_contract.schema.json — optional machine-readable interface
  • LICENSE.txt — JsisOn License (ARR, research-only, non-commercial)

Licensing

  • License: JsisOn License (ARR) — non-commercial research/review only
  • Prohibited without explicit permission: redistribution, commercial use, training of general-purpose foundation models
  • Contact: ai@batalstone.com (collaboration/permission requests)

Citation

If you use this dataset in academic work, please cite:

@dataset{batalstone_emotion_5c_free_arr_2025, author = {Liia Black}, title = {Webnovel Narrative Emotion — 5c Free (Research-Only, ARR)}, year = {2025}, publisher = {JsisOn OÜ} }
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