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/**
*
* Copyright 2023-2025 InspectorRAGet Team
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
**/
'use client';
import { useMemo } from 'react';
import { HeatmapChart } from '@carbon/charts-react';
import { TaskEvaluation } from '@/src/types';
import ConfusionMatrix from './ConfusionMatrix.ts';
import { ColorLegendType, ScaleTypes } from '@carbon/charts';
function prepareHeatMapData(agreementMap: {
[key: string]: { [key: string]: ConfusionMatrix };
}) {
// Prepare heat map data as array
const temp: any[] = [];
for (const [worker1, values] of Object.entries(agreementMap)) {
for (const [worker2, value] of Object.entries(values)) {
temp.push({
annotator1: worker1,
annotator2: worker2,
value: worker1 === worker2 ? 1.0 : value.cohenKappaScore()?.toFixed(2),
});
}
}
return temp;
}
/**
* Helper function to compute inter-annotator agreement table headers and rows
* agreement is calculated based on Cohen-kappa
* @param evaluations full set of annotations (per instance ?)
* @returns
*/
function populateTable(evaluations: TaskEvaluation[], metric: string) {
// Step 1: Identify workers and metric values
const workers: Set<string> = new Set<string>();
const values: Set<string | number> = new Set<string>();
evaluations.forEach((evaluation) => {
for (const worker in evaluation[metric]) {
workers.add(worker);
values.add(evaluation[metric][worker].value);
}
});
// step 2: Prepare confusion matrix for annotators pair
let confusionMatrices: {
[key: string]: { [key: string]: ConfusionMatrix };
} = {};
workers.forEach((worker1) => {
confusionMatrices[worker1] = {};
workers.forEach(
(worker2) =>
(confusionMatrices[worker1][worker2] = new ConfusionMatrix(
Array.from(values),
)),
);
});
// step3: Populate confusion matrices
evaluations.forEach((evaluation) => {
for (const annotator1 of Object.keys(evaluation[metric])) {
for (const annotator2 of Object.keys(evaluation[metric])) {
if (annotator1 !== annotator2) {
confusionMatrices[annotator1][annotator2].addToElement(
evaluation[metric][annotator1].value,
evaluation[metric][annotator2].value,
);
}
}
}
});
return confusionMatrices;
}
export default function InterAnnotatorAgreementTable({
evaluations,
metric,
theme,
}: {
evaluations: TaskEvaluation[];
metric: string;
theme?: string;
}) {
// Step 1: Populate table header and rows
const agreementData = useMemo(
() => populateTable(evaluations, metric),
[evaluations, metric],
);
return (
<HeatmapChart
data={prepareHeatMapData(agreementData)}
options={{
// @ts-ignore
axes: {
bottom: {
title: 'annotator',
mapsTo: 'annotator1',
scaleType: ScaleTypes.LABELS,
},
left: {
title: 'annotator',
mapsTo: 'annotator2',
scaleType: ScaleTypes.LABELS,
},
},
heatmap: {
colorLegend: {
type: ColorLegendType.QUANTIZE,
},
},
experimental: false,
width: '500px',
height: '500px',
toolbar: {
enabled: false,
},
theme: theme,
}}
></HeatmapChart>
);
}
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