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export const TRIWORLD_COLORS = [
"#0f766e", "#2563eb", "#d97706", "#16a34a", "#7c3aed", "#e11d48",
"#0891b2", "#4f46e5", "#c2410c", "#15803d", "#9333ea", "#be123c",
"#0369a1", "#a16207", "#0f766e", "#4338ca", "#b45309", "#047857",
"#6d28d9", "#9f1239", "#155e75", "#1d4ed8", "#ca8a04", "#166534",
] as const;
export const TRIWORLD_RANKING_CODE = "TWBScore" as const;
export const TRIWORLD_SCORE_ACCENT = "#a16207" as const;
// Database keys used by Evaluation Metrics. The leaderboard uses these labels
// so the table always follows the terminology maintained in localization data.
export const TRIWORLD_EVALUATION_DEFINITION_CODES: Readonly<Record<string, string>> = {
"twb-score": "TWBScore",
"tri-view-consistency": "tri_view_consistency",
"task-alignment": "task_alignment",
"physical-3d-coherence": "physical_3d_coherence",
"motion-quality": "motion_quality",
"temporal-consistency": "temporal_consistency",
"visual-quality": "visual_quality",
"normalized-psnr": "psnr",
ssim: "ssim",
"vlm-consistency-i": "vlm_consistency_i",
"vlm-consistency-ii": "vlm_consistency_ii",
"vlm-consistency-iii": "vlm_consistency_iii",
"vqa-consistency": "vqa_consistency",
"instruction-following": "Instruction_Following",
"semantic-alignment": "semantic_alignment",
"jepa-similarity": "jepa_similarity",
"interaction-quality": "Interaction_Quality",
perspective: "Perspectivity",
"state-alignment": "dynamic_state_alignment",
"flow-score": "flow_score",
"trajectory-accuracy": "trajectory_accuracy",
"subject-consistency": "subject_consistency",
"background-consistency": "background_consistency",
"photometric-smoothness": "photometric_smoothness",
"image-quality": "image_quality",
"aesthetic-quality": "aesthetic_quality",
};
export interface TriWorldMetricDefinition {
key: string;
code: string;
}
export interface TriWorldMetricGroup {
key: string;
code: string;
color: string;
submetrics: readonly TriWorldMetricDefinition[];
}
export const TRIWORLD_METRIC_GROUPS: readonly TriWorldMetricGroup[] = [
{
key: "twb-score",
code: TRIWORLD_RANKING_CODE,
color: TRIWORLD_SCORE_ACCENT,
submetrics: [],
},
{
key: "tri-view-consistency",
code: "tri_view_consistency",
color: "#2563eb",
submetrics: [
{ key: "psnr", code: "psnr" },
{ key: "ssim", code: "ssim" },
{ key: "vlm-i", code: "vlm_consistency_i" },
{ key: "vlm-ii", code: "vlm_consistency_ii" },
{ key: "vlm-iii", code: "vlm_consistency_iii" },
{ key: "vqa", code: "vqa_consistency" },
],
},
{
key: "task-alignment",
code: "task_alignment",
color: "#f97316",
submetrics: [
{ key: "instruction", code: "Instruction_Following" },
{ key: "semantic", code: "semantic_alignment" },
{ key: "jepa", code: "jepa_similarity" },
],
},
{
key: "physical-3d-coherence",
code: "physical_3d_coherence",
color: "#16a34a",
submetrics: [
{ key: "interaction", code: "Interaction_Quality" },
{ key: "perspectivity", code: "Perspectivity" },
],
},
{
key: "motion-quality",
code: "motion_quality",
color: "#7c3aed",
submetrics: [
{ key: "state-alignment", code: "dynamic_state_alignment" },
{ key: "flow", code: "flow_score" },
{ key: "trajectory", code: "trajectory_accuracy" },
],
},
{
key: "temporal-consistency",
code: "temporal_consistency",
color: "#e11d48",
submetrics: [
{ key: "subject", code: "subject_consistency" },
{ key: "background", code: "background_consistency" },
{ key: "photometric", code: "photometric_smoothness" },
],
},
{
key: "visual-quality",
code: "visual_quality",
color: "#0f766e",
submetrics: [
{ key: "image", code: "image_quality" },
{ key: "aesthetic", code: "aesthetic_quality" },
],
},
];
export interface TriWorldTableMetric extends TriWorldMetricDefinition {
groupKey: string;
color: string;
isOverall: boolean;
isCategory: boolean;
className: string;
}
export const TRIWORLD_TABLE_METRICS: readonly TriWorldTableMetric[] = [
// Keep the total and all second-level category scores together before any third-level metric.
...TRIWORLD_METRIC_GROUPS.map((group) => ({
key: group.key,
code: group.code,
groupKey: group.key,
color: group.color,
isOverall: group.code === TRIWORLD_RANKING_CODE,
isCategory: true,
className: "twb-col-category",
})),
...TRIWORLD_METRIC_GROUPS.flatMap((group) =>
group.submetrics.map((metric) => ({
...metric,
groupKey: group.key,
color: group.color,
isOverall: false,
isCategory: false,
className: "twb-col-submetric",
}))
),
];
export const TRIWORLD_ALL_METRIC_CODES = TRIWORLD_TABLE_METRICS.map((metric) => metric.code);
export const TRIWORLD_RADAR_DIMS = TRIWORLD_METRIC_GROUPS
.filter((group) => group.code !== TRIWORLD_RANKING_CODE)
.map((group) => ({
key: group.key,
code: group.code,
color: group.color,
maxValue: group.code === "visual_quality" ? 50 : 100,
}));
export interface TriWorldVisualizationPanel {
key: string;
code: string | null;
groupKey: string;
kind: "overall" | "category" | "submetric";
}
export const TRIWORLD_VIS_PANELS: readonly TriWorldVisualizationPanel[] = [
{ key: "overall", code: null, groupKey: "twb-score", kind: "overall" },
...TRIWORLD_METRIC_GROUPS
.filter((group) => group.code !== TRIWORLD_RANKING_CODE)
.flatMap((group) => [
{
key: group.key,
code: group.code,
groupKey: group.key,
kind: "category" as const,
},
...group.submetrics.map((metric) => ({
key: metric.key,
code: metric.code,
groupKey: group.key,
kind: "submetric" as const,
})),
]),
];
export type TriWorldMetricCode = string;
export interface TriWorldBoardEntry {
rank: number;
modelName: string;
teamName: string;
score: number | null;
normalizedScore: number | null;
status: string;
metrics: Record<string, number | null>;
normalizedMetrics: Record<string, number | null>;
}