Comments (1)
I think a test definition format could be helpful here:
{
"numberQuestions": 100,
"sources": [
{ "accuracy": 0.9 },
{ "accuracy": "0.7 + t * 0.1" }, // t is [0,1], corresponds to number_answered / total_answers
{ "accuracy": 0.5, "chanceOfAnswering": 0.3 },
// If accuracy is an array, it corresponds to the chance they'll answer in each biased group
{ "accuracy": [0, 0.1, 0.7], "chanceOfAnswering": 0.3 },
// ...
],
"numberAnswers": 1000
}
There are additional complexities that could be added, for example difficult questions, chances of answering different questions in different ways, number of unique answers etc. but this is a good start
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