danielritchie/vibe-color-model
Robotics
•
Updated
•
5
name
stringlengths 4
29
| source
stringlengths 5
25
| input
listlengths 5
5
| output
listlengths 5
5
|
|---|---|---|---|
pure_joy
|
Wes Anderson pastels
|
[
0.9500000000000001,
0.85,
0.9,
0.65,
0.8
] |
[
1,
0.85,
0.7000000000000001,
0.8,
0.7000000000000001
] |
gentle_happiness
|
Morning light
|
[
0.85,
0.65,
0.85,
0.6000000000000001,
0.65
] |
[
1,
0.9500000000000001,
0.8,
0.6000000000000001,
0.4
] |
playful
|
Pixar films
|
[
0.9,
0.9,
0.8,
0.8,
0.9
] |
[
1,
0.6000000000000001,
0.9,
0.85,
0.8
] |
ocean_peace
|
Blue hour photography
|
[
0.75,
0.2,
0.35000000000000003,
0.6000000000000001,
0.55
] |
[
0.4,
0.7000000000000001,
0.85,
0.5,
0.15
] |
meditation
|
Zen gardens
|
[
0.65,
0.1,
0.5,
0.55,
0.53
] |
[
0.85,
0.88,
0.85,
0.35000000000000003,
0.05
] |
warm_contentment
|
Firelight
|
[
0.8,
0.30000000000000004,
0.9,
0.6000000000000001,
0.6000000000000001
] |
[
0.9500000000000001,
0.7000000000000001,
0.5,
0.6000000000000001,
0.2
] |
intellectual_excitement
|
Eureka moments
|
[
0.85,
0.9,
0.30000000000000004,
0.85,
0.85
] |
[
0.30000000000000004,
0.85,
0.9500000000000001,
0.8,
0.75
] |
social_excitement
|
Celebration
|
[
0.9,
0.93,
0.9500000000000001,
0.8,
0.93
] |
[
1,
0.65,
0.30000000000000004,
0.9,
0.85
] |
anticipation
|
Pre-dawn waiting
|
[
0.75,
0.8,
0.65,
0.75,
0.8
] |
[
0.7000000000000001,
0.6000000000000001,
0.9,
0.65,
0.6000000000000001
] |
romantic_love
|
Rose petals
|
[
0.9500000000000001,
0.75,
0.9500000000000001,
0.7000000000000001,
0.7000000000000001
] |
[
0.9500000000000001,
0.7000000000000001,
0.8,
0.7000000000000001,
0.5
] |
deep_connection
|
Golden hour embrace
|
[
0.93,
0.65,
0.93,
0.65,
0.65
] |
[
0.9,
0.75,
0.5,
0.75,
0.35000000000000003
] |
curious
|
Explorer gaze
|
[
0.7000000000000001,
0.75,
0.4,
0.8,
0.75
] |
[
0.5,
0.75,
0.85,
0.65,
0.5
] |
deep_focus
|
Flow state
|
[
0.65,
0.7000000000000001,
0.25,
0.85,
0.8
] |
[
0.30000000000000004,
0.5,
0.75,
0.7000000000000001,
0.45
] |
melancholy_cool
|
Blade Runner rain
|
[
0.25,
0.25,
0.2,
0.7000000000000001,
0.6000000000000001
] |
[
0.35000000000000003,
0.45,
0.6000000000000001,
0.45,
0.25
] |
melancholy_warm
|
Autumn nostalgia
|
[
0.30000000000000004,
0.25,
0.75,
0.75,
0.6000000000000001
] |
[
0.7000000000000001,
0.55,
0.4,
0.5,
0.25
] |
grief
|
Heavy shadows
|
[
0.1,
0.2,
0.35000000000000003,
0.65,
0.55
] |
[
0.30000000000000004,
0.35000000000000003,
0.4,
0.35000000000000003,
0.15
] |
anxiety
|
Horror film greens
|
[
0.2,
0.85,
0.4,
0.85,
0.85
] |
[
0.65,
0.75,
0.4,
0.7000000000000001,
0.7000000000000001
] |
tension
|
Thriller soundtracks
|
[
0.15,
0.8,
0.65,
0.8,
0.8
] |
[
0.8,
0.30000000000000004,
0.25,
0.75,
0.65
] |
unease
|
Liminal spaces
|
[
0.25,
0.7000000000000001,
0.30000000000000004,
0.75,
0.75
] |
[
0.7000000000000001,
0.75,
0.65,
0.6000000000000001,
0.5
] |
rage
|
Intense fire
|
[
0.05,
0.9500000000000001,
0.9,
0.9,
0.9500000000000001
] |
[
0.9500000000000001,
0.15,
0.1,
0.9500000000000001,
0.9
] |
frustration
|
Warning lights
|
[
0.2,
0.85,
0.8,
0.8,
0.85
] |
[
0.9,
0.45,
0.2,
0.8,
0.7000000000000001
] |
startle
|
Flash photography
|
[
0.5,
0.97,
0.35000000000000003,
0.9,
0.97
] |
[
0.9500000000000001,
0.9500000000000001,
0.85,
0.9500000000000001,
0.9500000000000001
] |
pleasant_surprise
|
Sparklers
|
[
0.85,
0.9,
0.75,
0.85,
0.9
] |
[
1,
0.9,
0.5,
0.9,
0.8
] |
sunset_warmth
|
Golden hour
|
[
0.8,
0.6000000000000001,
0.97,
0.7000000000000001,
0.65
] |
[
0.9500000000000001,
0.6000000000000001,
0.35000000000000003,
0.75,
0.35000000000000003
] |
forest_calm
|
Deep woods
|
[
0.7000000000000001,
0.35000000000000003,
0.45,
0.65,
0.6000000000000001
] |
[
0.35000000000000003,
0.6000000000000001,
0.4,
0.55,
0.25
] |
storm_energy
|
Thunder clouds
|
[
0.6000000000000001,
0.85,
0.25,
0.9,
0.85
] |
[
0.30000000000000004,
0.35000000000000003,
0.5,
0.8,
0.75
] |
desert_heat
|
Harsh sun
|
[
0.65,
0.7000000000000001,
0.97,
0.7000000000000001,
0.7000000000000001
] |
[
0.9,
0.75,
0.5,
0.7000000000000001,
0.45
] |
neutral
|
Gray calibration
|
[
0.5,
0.5,
0.5,
0.6000000000000001,
0.65
] |
[
0.6000000000000001,
0.6000000000000001,
0.6000000000000001,
0.5,
0.30000000000000004
] |
alert_attention
|
UI warning
|
[
0.5,
0.85,
0.7000000000000001,
0.8,
0.85
] |
[
0.9500000000000001,
0.85,
0.2,
0.85,
0.7000000000000001
] |
success_confirmation
|
UI success
|
[
0.85,
0.75,
0.6000000000000001,
0.7000000000000001,
0.75
] |
[
0.4,
0.85,
0.5,
0.75,
0.5
] |
contemplative
|
Soft shadows
|
[
0.45,
0.30000000000000004,
0.4,
0.75,
0.6000000000000001
] |
[
0.5,
0.55,
0.65,
0.5,
0.25
] |
nostalgic
|
Vintage film grain
|
[
0.65,
0.35000000000000003,
0.8,
0.75,
0.6000000000000001
] |
[
0.8,
0.65,
0.5,
0.55,
0.30000000000000004
] |
wistful
|
Distant gazes
|
[
0.6000000000000001,
0.25,
0.7000000000000001,
0.7000000000000001,
0.6000000000000001
] |
[
0.75,
0.7000000000000001,
0.8,
0.5,
0.2
] |
exhausted
|
End of day
|
[
0.35000000000000003,
0.1,
0.55,
0.6000000000000001,
0.55
] |
[
0.45,
0.45,
0.5,
0.30000000000000004,
0.1
] |
drowsy
|
Heavy eyelids
|
[
0.55,
0.15,
0.65,
0.6000000000000001,
0.55
] |
[
0.65,
0.6000000000000001,
0.65,
0.4,
0.15
] |
clinical_detachment
|
2001 HAL
|
[
0.5,
0.6000000000000001,
0.15,
0.7000000000000001,
0.65
] |
[
0.85,
0.88,
0.92,
0.6000000000000001,
0.30000000000000004
] |
digital_isolation
|
Mr. Robot
|
[
0.4,
0.65,
0.2,
0.75,
0.7000000000000001
] |
[
0.55,
0.65,
0.75,
0.65,
0.35000000000000003
] |
analytical_focus
|
Ex Machina
|
[
0.6000000000000001,
0.75,
0.25,
0.8,
0.8
] |
[
0.65,
0.72,
0.78,
0.7000000000000001,
0.5
] |
winter_stillness
|
Norwegian fjords
|
[
0.55,
0.2,
0.15,
0.6000000000000001,
0.5700000000000001
] |
[
0.8,
0.85,
0.9,
0.5,
0.2
] |
boredom
|
Office Space
|
[
0.35000000000000003,
0.15,
0.5,
0.6000000000000001,
0.5700000000000001
] |
[
0.65,
0.62,
0.58,
0.4,
0.15
] |
resignation
|
Remains of the Day
|
[
0.4,
0.15,
0.6000000000000001,
0.65,
0.55
] |
[
0.7000000000000001,
0.68,
0.65,
0.5,
0.18
] |
numbness
|
Emotional shutdown
|
[
0.25,
0.12,
0.45,
0.6000000000000001,
0.55
] |
[
0.55,
0.55,
0.58,
0.35000000000000003,
0.12
] |
disgust
|
Se7en
|
[
0.1,
0.75,
0.35000000000000003,
0.8,
0.75
] |
[
0.55,
0.6000000000000001,
0.35000000000000003,
0.65,
0.55
] |
revulsion
|
Organic decay
|
[
0.08,
0.8,
0.4,
0.85,
0.8
] |
[
0.45,
0.5,
0.30000000000000004,
0.7000000000000001,
0.6000000000000001
] |
cosmic_awe
|
Interstellar
|
[
0.8,
0.8,
0.30000000000000004,
0.85,
0.7000000000000001
] |
[
0.15,
0.2,
0.4,
0.75,
0.5
] |
natural_wonder
|
Aurora borealis
|
[
0.85,
0.75,
0.5,
0.8,
0.7000000000000001
] |
[
0.30000000000000004,
0.7000000000000001,
0.6000000000000001,
0.8,
0.55
] |
shame
|
Requiem shadows
|
[
0.12,
0.7000000000000001,
0.6000000000000001,
0.75,
0.7000000000000001
] |
[
0.5,
0.35000000000000003,
0.35000000000000003,
0.45,
0.4
] |
quiet_pride
|
Craftsman satisfaction
|
[
0.85,
0.65,
0.8,
0.65,
0.65
] |
[
0.8,
0.65,
0.4,
0.65,
0.35000000000000003
] |
accomplishment
|
Solo summit
|
[
0.88,
0.7000000000000001,
0.4,
0.7000000000000001,
0.7000000000000001
] |
[
0.75,
0.8,
0.85,
0.7000000000000001,
0.45
] |
envy
|
Amadeus Salieri
|
[
0.2,
0.75,
0.55,
0.8,
0.75
] |
[
0.4,
0.7000000000000001,
0.45,
0.7000000000000001,
0.5
] |
covetous
|
Talented Mr. Ripley
|
[
0.22,
0.72,
0.65,
0.75,
0.75
] |
[
0.5,
0.75,
0.5,
0.68,
0.48
] |
grim_determination
|
The Revenant
|
[
0.65,
0.85,
0.35000000000000003,
0.8,
0.9
] |
[
0.55,
0.65,
0.75,
0.85,
0.7000000000000001
] |
focused_drive
|
Athletes in zone
|
[
0.75,
0.8200000000000001,
0.45,
0.85,
0.88
] |
[
0.7000000000000001,
0.72,
0.8,
0.8200000000000001,
0.68
] |
confusion
|
Memento
|
[
0.5,
0.7000000000000001,
0.4,
0.88,
0.75
] |
[
0.65,
0.6000000000000001,
0.7000000000000001,
0.6000000000000001,
0.45
] |
overwhelm
|
Times Square chaos
|
[
0.35000000000000003,
0.8200000000000001,
0.5,
0.93,
0.85
] |
[
0.75,
0.55,
0.7000000000000001,
0.8,
0.7000000000000001
] |
disorientation
|
Inception shifts
|
[
0.4,
0.75,
0.35000000000000003,
0.85,
0.78
] |
[
0.7000000000000001,
0.72,
0.65,
0.65,
0.55
] |
abyss
|
Void darkness
|
[
0.05,
0.05,
0.1,
0.2,
0.1
] |
[
0.05,
0.05,
0.1,
0.2,
0.1
] |
clinical_white
|
Sterile light
|
[
0.9,
0.1,
0.2,
0.1,
0.1
] |
[
0.9500000000000001,
0.9500000000000001,
0.9500000000000001,
0.4,
0.2
] |
deep_cold_blue
|
Arctic night
|
[
0.2,
0.30000000000000004,
0,
0.4,
0.2
] |
[
0.1,
0.2,
0.9500000000000001,
0.4,
0.15
] |
electric_cyan
|
Digital alert
|
[
0.6000000000000001,
0.9500000000000001,
0.1,
0.9,
0.9500000000000001
] |
[
0.1,
0.9500000000000001,
0.9500000000000001,
0.9,
0.8
] |
toxic_neon_green
|
Artificial anxiety
|
[
0.30000000000000004,
1,
0.2,
1,
1
] |
[
0.2,
1,
0.2,
0.9500000000000001,
0.9
] |
sacred_purple
|
Mystic aura
|
[
0.6000000000000001,
0.5,
0.1,
0.6000000000000001,
0.5
] |
[
0.5,
0.1,
0.7000000000000001,
0.6000000000000001,
0.5
] |
royal_magenta
|
Theatrical intensity
|
[
0.7000000000000001,
0.9,
0.2,
0.9500000000000001,
0.9
] |
[
0.9,
0.1,
0.9,
0.85,
0.8
] |
ember_red
|
Primal fire
|
[
0.2,
0.9500000000000001,
1,
0.9500000000000001,
0.9500000000000001
] |
[
1,
0.1,
0.1,
0.9500000000000001,
0.9
] |
forest_deep
|
Ancient woods
|
[
0.4,
0.30000000000000004,
0.8,
0.4,
0.30000000000000004
] |
[
0.1,
0.5,
0.1,
0.5,
0.25
] |
golden_radiance
|
Divine warmth
|
[
0.9500000000000001,
0.8,
1,
0.7000000000000001,
0.8
] |
[
1,
0.85,
0.1,
0.8,
0.7000000000000001
] |
dusty_rose
|
Faded nostalgia
|
[
0.7000000000000001,
0.4,
0.7000000000000001,
0.4,
0.4
] |
[
0.8,
0.5,
0.6000000000000001,
0.55,
0.30000000000000004
] |
storm_indigo
|
Brooding sky
|
[
0.30000000000000004,
0.7000000000000001,
0.1,
0.8,
0.7000000000000001
] |
[
0.2,
0.2,
0.6000000000000001,
0.7000000000000001,
0.55
] |
pale_mint
|
Healing air
|
[
0.8,
0.30000000000000004,
0.6000000000000001,
0.30000000000000004,
0.30000000000000004
] |
[
0.7000000000000001,
1,
0.85,
0.6000000000000001,
0.30000000000000004
] |
burnt_umber
|
Earth and weight
|
[
0.30000000000000004,
0.4,
0.9,
0.5,
0.4
] |
[
0.4,
0.2,
0.1,
0.45,
0.25
] |
silver_gray
|
Balanced neutrality
|
[
0.5,
0.2,
0.30000000000000004,
0.2,
0.2
] |
[
0.7000000000000001,
0.7000000000000001,
0.75,
0.45,
0.2
] |
anchor_all_low
|
geometric_anchor
|
[
0.05,
0.05,
0.05,
0.05,
0.05
] |
[
0.52,
0.52,
0.55,
0.05,
0.08
] |
anchor_all_high
|
geometric_anchor
|
[
0.9500000000000001,
0.9500000000000001,
0.9500000000000001,
0.9500000000000001,
0.9500000000000001
] |
[
0.9500000000000001,
0.9500000000000001,
0.9500000000000001,
0.9500000000000001,
0.98
] |
anchor_positive_cool
|
geometric_anchor
|
[
0.9500000000000001,
0.4,
0.2,
0.8,
0.7000000000000001
] |
[
0.30000000000000004,
0.55,
0.85,
0.35000000000000003,
0.55
] |
anchor_negative_warm
|
geometric_anchor
|
[
0.05,
0.4,
0.8,
0.8,
0.7000000000000001
] |
[
0.9,
0.55,
0.35000000000000003,
0.35000000000000003,
0.55
] |
anchor_calm_high_intensity
|
geometric_anchor
|
[
0.6000000000000001,
0.1,
0.6000000000000001,
0.7000000000000001,
0.8
] |
[
0.85,
0.8,
0.9,
0.15,
0.85
] |
anchor_agitated_low_intensity
|
geometric_anchor
|
[
0.4,
0.9500000000000001,
0.4,
0.7000000000000001,
0.30000000000000004
] |
[
0.6000000000000001,
0.65,
0.7000000000000001,
0.9,
0.25
] |
anchor_high_energy_soft
|
geometric_anchor
|
[
0.5,
0.9,
0.30000000000000004,
0.6000000000000001,
0.6000000000000001
] |
[
0.8,
0.85,
0.9,
0.9500000000000001,
0.25
] |
anchor_low_energy_hard
|
geometric_anchor
|
[
0.5,
0.2,
0.9,
0.6000000000000001,
0.9
] |
[
0.75,
0.7000000000000001,
0.65,
0.1,
0.9
] |
task_focused
|
Neutral alert state
|
[
0.5,
0.65,
0.55,
0.75,
0.75
] |
[
0.6000000000000001,
0.65,
0.7000000000000001,
0.65,
0.5
] |
cooling_down
|
Post-intensity transition
|
[
0.30000000000000004,
0.5,
0.6000000000000001,
0.6000000000000001,
0.7000000000000001
] |
[
0.7000000000000001,
0.5,
0.5,
0.5,
0.35000000000000003
] |
attentive_calm
|
Listening mode
|
[
0.55,
0.5,
0.5,
0.65,
0.7000000000000001
] |
[
0.65,
0.7000000000000001,
0.75,
0.55,
0.4
] |
Cinematic Mood Palette
Curated mappings between affective states and cinematic visual expression. The goal is to describe how filmmakers translate psychological affect into color and perceptual parameters.
~80 mappings, including emotional states, cinematic aesthetics, and spatial calibration points.
What This Is
A collection of anchor points in a 5-dimensional emotional space, each paired with corresponding cinematic color and perceptual parameters.
It functions as a reference map showing how affective states can be expressed through visual design choices used in film and photography. Nearby points in this space can be meaningfully interpolated to derive intermediate visual treatments. Input coordinates are deliberately amplified to emphasize emotional extremes, creating visually distinctive reference points rather than modeling naturalistic affect distributions.
The emotional space extends the classic Valence–Arousal–Dominance (VAD) model with:
- Complexity (visual activity/richness)
- Coherence (organizational harmony)
These additions help describe how visual systems express mood through light, color, and composition.
Why This Might Be Useful
This dataset documents a systematic relationship between affect theory and cinematic color language.
- Each mapping represents a documented pattern in how emotion is stylized visually
- The values encode relationships between emotional dimensions and visual parameters
- It provides a structured vocabulary for translating mood into color/light choices
Potential Uses
This manifold could support:
- Translating emotional data into expressive color palettes
- Providing emotional constraints for generative visual systems
- Studying relationships between affect dimensions and design choices
- Prototyping mood-driven visual interfaces
Note: With ~80 samples, this works best as a reference structure or semantic anchor rather than bulk training data.
Structure
{
"name": "pure_joy",
"source": "Wes Anderson pastels",
"input": [0.95, 0.85, 0.9, 0.65, 0.8],
"output": [1, 0.85, 0.7, 0.8, 0.7]
}
All values are normalized to [0, 1].
Input Dimensions (Emotional Space)
| Dimension | Meaning |
|---|---|
| Valence | Positive ↔ Negative emotional tone |
| Arousal | Calm ↔ Energized intensity |
| Dominance | Passive ↔ Powerful presence |
| Complexity | Minimal ↔ Rich visual activity |
| Coherence | Chaotic ↔ Harmonious organization |
Output Dimensions (Cinematic Color Parameters)
| Dimension | Meaning |
|---|---|
| R | Red channel |
| G | Green channel |
| B | Blue channel |
| Energy | Visual activity/liveliness (calm ↔ dynamic) |
| Intensity | Effect prominence (subtle ↔ pronounced) |
Notes:
- RGB values create the base color palette
- Energy represents how 'alive' or 'active' the visual should feel - independent of the colors themselves
- Intensity controls how strongly the treatment is applied - high energy can be displayed subtly, or low energy can be pronounced
Contents
~80 curated mappings spanning:
- Emotional states (joy, rage, meditation, anxiety, awe, grief, etc.)
- Aesthetic qualities (sunset warmth, forest calm, storm energy, clinical detachment)
- Cinematic references (film color grading, lighting moods, production design)
- Geometric anchors that define boundaries of the space
The source field documents the visual or cultural inspiration behind each mapping.
Limitations
- Small scale (~80 mappings): useful as anchors/references, not comprehensive coverage
- Culturally specific: primarily draws from Western cinematic tradition
- Interpretive: mappings reflect observed patterns in film/photography, not objective measurements
- Output parameters are descriptive rather than rigidly standardized across tools
- Designed as a reference structure; practical utility will vary by application
Files
train.json— the manifold mappings
Usage
from datasets import load_dataset
dataset = load_dataset("danielritchie/cinematic-mood-palette")
sample = dataset['train'][0]
print(sample['name'], sample['input'], sample['output'])
In One Line
A reference map from psychological affect space to cinematic color language.
Citation
@dataset{cinematic_mood_palette,
title={Cinematic Mood Palette},
author={[Daniel Ritchie]},
year={2026},
publisher={Hugging Face}
}
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