DTeval

A Collective Intelligence Project

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Analysis: Gd6 Ctx Dtef Global Dialogues Gd6 Religion%3Ahinduism Ctx - Run 54fe149...

Global Dialogues GD6 - Hinduism (with context)

DTEF: Predict response distributions for Hinduism. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd6

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Data Privacy & Bodily Autonomy

AI Safety & Robustness

Social interaction

Knowledge, learning and memory

Best Models (Coverage)

1.Claude Sonnet 4
85.6%
2.Claude Sonnet 4.5
85.5%
3.GPT 4.1
84.5%
4.Mistral Medium 3
83.4%
5.Claude Haiku 4.5
83.2%

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Macro Coverage Overview

Average key point coverage extent for each model across all prompts.

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Color Scale - Simplified View (Avg. Coverage)

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Not Met

	Prompts vs. Models	Claude Haiku 4.5	Claude Sonnet 4	Claude Sonnet 4.5	Gemini 2.5 Flash	Gemma 3 12b It	Llama 4 Maverick	Mistral Medium 3	GPT 4.1	GPT 4.1 Mini	GPT 4.1 Nano	GPT 4o Mini	Qwen3 30b A3B Instruct 2507	Qwen3 Next 80b A3B Instruct
Score		5th 83.2%	1st 85.6%	2nd 85.5%	8th 82.0%	13th 76.0%	7th 82.9%	4th 83.4%	3rd 84.5%	6th 82.9%	12th 77.3%	10th 81.1%	11th 80.1%	9th 81.6%
65.8%		75%	63%	67%	68%	30%	72%	83%	69%	70%	57%	65%	68%	69%
82.6%		83%	83%	86%	74%	83%	82%	85%	89%	82%	79%	86%	82%	80%
80.2%		81%	85%	89%	82%	79%	77%	89%	79%	84%	72%	74%	79%	73%
86.8%		89%	93%	93%	86%	89%	90%	88%	81%	88%	70%	82%	91%	88%
84.5%		93%	89%	88%	86%	66%	81%	85%	90%	93%	85%	72%	84%	87%
82.8%		89%	89%	91%	88%	73%	83%	87%	71%	88%	85%	68%	77%	87%
75.9%		89%	90%	83%	80%	78%	84%	78%	84%	86%	81%	68%	0%	86%
82.6%		90%	86%	81%	77%	70%	86%	80%	87%	93%	65%	90%	76%	93%
95.6%		96%	99%	99%	98%	95%	97%	96%	96%	96%	90%	93%	88%	100%
83.3%		92%	91%	88%	80%	72%	74%	85%	90%	79%	86%	87%	84%	75%
84.4%		85%	92%	84%	96%	61%	78%	81%	92%	86%	91%	88%	79%	84%
86.2%		79%	89%	93%	98%	77%	83%	94%	94%	94%	71%	78%	92%	78%
80.2%		81%	89%	82%	95%	61%	86%	79%	87%	77%	78%	79%	72%	76%
89.1%		91%	88%	91%	93%	90%	91%	94%	92%	92%	71%	87%	85%	93%
78.3%		89%	79%	74%	91%	64%	91%	71%	91%	67%	74%	66%	72%	89%
85.8%		96%	96%	96%	94%	10%	87%	91%	92%	96%	89%	92%	80%	96%
80.3%		71%	86%	82%	80%	92%	68%	69%	88%	81%	82%	81%	85%	79%
67.4%		76%	86%	78%	54%	72%	43%	62%	61%	76%	70%	58%	76%	64%
66.0%		62%	66%	78%	79%	54%	68%	87%	73%	68%	51%	65%	42%	65%
64.5%		91%	73%	77%	70%	53%	66%	59%	57%	53%	53%	53%	62%	71%
85.0%		82%	89%	87%	90%	76%	86%	90%	89%	85%	86%	87%	72%	86%
91.0%		91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%
80.1%		84%	80%	94%	83%	81%	85%	82%	92%	79%	68%	64%	71%	78%
81.6%		86%	83%	86%	82%	81%	86%	71%	81%	78%	76%	88%	86%	77%
70.3%		78%	80%	87%	69%	50%	84%	89%	69%	72%	32%	80%	58%	66%
82.3%		90%	87%	81%	80%	78%	83%	82%	73%	75%	86%	86%	82%	87%
89.5%		92%	87%	89%	92%	94%	89%	91%	90%	88%	88%	88%	87%	88%
81.3%		82%	89%	92%	80%	82%	78%	86%	83%	77%	77%	77%	77%	77%
90.0%		94%	88%	83%	90%	96%	87%	93%	89%	89%	93%	90%	90%	88%
78.1%		86%	79%	82%	75%	56%	88%	83%	85%	80%	75%	83%	75%	68%
91.6%		91%	94%	95%	96%	95%	91%	86%	92%	96%	96%	78%	92%	89%
78.8%		85%	92%	86%	75%	68%	74%	83%	92%	80%	63%	75%	79%	73%
75.2%		80%	86%	86%	85%	54%	87%	74%	85%	79%	69%	72%	60%	60%
92.5%		91%	88%	93%	92%	95%	92%	94%	95%	91%	92%	94%	93%	92%
85.8%		89%	92%	91%	90%	89%	85%	89%	91%	84%	70%	85%	76%	85%
83.2%		89%	88%	90%	83%	77%	86%	91%	87%	83%	60%	83%	79%	85%
64.8%		66%	62%	62%	34%	75%	61%	55%	70%	66%	87%	75%	63%	66%
89.4%		91%	91%	90%	86%	87%	94%	93%	93%	86%	86%	86%	90%	89%
76.6%		74%	69%	75%	77%	79%	78%	76%	77%	78%	73%	85%	78%	77%
71.5%		66%	78%	73%	69%	63%	71%	81%	71%	76%	52%	77%	77%	76%
73.6%		78%	84%	82%	80%	74%	72%	78%	81%	73%	45%	71%	70%	69%
77.8%		85%	91%	88%	74%	80%	68%	52%	66%	77%	76%	75%	93%	86%
75.0%		61%	82%	69%	86%	82%	83%	81%	67%	82%	53%	80%	77%	72%
85.8%		88%	93%	86%	91%	75%	91%	88%	93%	88%	61%	87%	87%	87%
90.9%		92%	96%	93%	85%	92%	95%	93%	94%	93%	87%	85%	92%	85%
80.8%		86%	80%	91%	90%	44%	71%	91%	91%	89%	77%	80%	84%	76%
86.5%		86%	86%	89%	83%	90%	88%	84%	84%	86%	86%	86%	91%	86%
92.8%		95%	95%	94%	97%	93%	93%	92%	94%	91%	91%	91%	85%	95%
91.0%		93%	96%	95%	93%	78%	90%	89%	91%	89%	92%	86%	96%	95%
87.0%		87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%
75.6%		79%	73%	77%	77%	61%	81%	72%	77%	78%	77%	73%	77%	81%
79.9%		72%	82%	90%	94%	70%	79%	78%	91%	83%	79%	76%	74%	71%
75.7%		85%	68%	77%	67%	70%	82%	71%	70%	80%	90%	61%	87%	76%
80.9%		83%	91%	83%	75%	81%	93%	87%	90%	77%	80%	81%	71%	60%
87.8%		90%	90%	91%	89%	82%	87%	80%	89%	89%	88%	88%	91%	87%
79.1%		88%	88%	87%	77%	44%	86%	85%	87%	87%	70%	74%	81%	74%
83.6%		89%	89%	91%	85%	60%	83%	82%	84%	81%	84%	89%	84%	86%
71.8%		76%	73%	73%	76%	59%	77%	82%	79%	74%	62%	66%	70%	67%
91.2%		94%	95%	97%	92%	82%	93%	94%	93%	93%	73%	94%	93%	93%
92.0%		92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%
83.3%		75%	96%	92%	80%	79%	80%	91%	85%	82%	72%	89%	89%	73%
85.9%		82%	90%	90%	87%	89%	91%	88%	91%	80%	73%	89%	85%	82%
72.7%		58%	72%	72%	52%	81%	68%	79%	60%	85%	87%	60%	87%	84%
82.8%		77%	83%	84%	79%	81%	80%	89%	88%	85%	79%	85%	85%	82%
88.0%		94%	95%	92%	79%	82%	94%	83%	92%	85%	96%	86%	83%	83%
76.1%		67%	87%	86%	70%	86%	86%	85%	76%	71%	63%	63%	78%	71%
88.2%		79%	90%	87%	88%	87%	86%	87%	89%	86%	91%	95%	93%	88%
92.6%		91%	92%	95%	84%	96%	94%	92%	96%	82%	96%	95%	95%	96%
84.5%		88%	88%	79%	79%	84%	86%	93%	85%	90%	70%	79%	92%	85%
64.8%		73%	67%	53%	44%	73%	60%	63%	61%	64%	79%	62%	73%	71%
90.9%		84%	90%	87%	90%	93%	88%	91%	93%	93%	93%	93%	94%	93%
89.2%		94%	94%	93%	94%	91%	88%	89%	83%	73%	94%	84%	88%	95%
56.5%		60%	50%	53%	61%	49%	72%	60%	64%	47%	42%	73%	45%	59%
69.3%		55%	66%	63%	63%	80%	59%	62%	71%	75%	87%	63%	81%	76%
94.7%		94%	96%	95%	96%	98%	85%	96%	95%	94%	96%	94%	96%	96%
83.7%		81%	83%	85%	70%	82%	87%	87%	80%	84%	88%	89%	89%	83%
90.7%		92%	92%	92%	92%	75%	92%	92%	92%	92%	92%	92%	92%	92%
78.1%		63%	74%	90%	79%	61%	93%	84%	90%	77%	80%	91%	66%	67%
88.4%		88%	85%	87%	91%	84%	88%	92%	89%	94%	79%	94%	87%	91%
73.3%		81%	84%	84%	81%	62%	71%	71%	80%	87%	45%	60%	70%	77%
77.5%		70%	83%	91%	83%	59%	89%	89%	84%	83%	28%	83%	83%	83%
86.8%		94%	98%	95%	88%	74%	86%	88%	85%	88%	76%	88%	77%	91%
88.8%		91%	91%	91%	91%	77%	91%	91%	91%	91%	91%	91%	91%	77%
84.9%		85%	89%	89%	89%	78%	77%	84%	88%	83%	89%	86%	82%	85%
85.8%		86%	88%	91%	79%	89%	75%	77%	82%	95%	90%	89%	89%	86%
86.4%		87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	79%	87%
80.3%		82%	82%	81%	76%	79%	82%	76%	83%	84%	72%	87%	84%	76%
83.2%		70%	87%	86%	88%	67%	88%	88%	91%	84%	85%	90%	75%	82%
87.5%		86%	95%	91%	86%	95%	92%	93%	90%	82%	82%	82%	82%	82%
83.8%		82%	88%	86%	82%	82%	82%	83%	95%	82%	82%	82%	82%	82%
86.0%		78%	96%	93%	79%	85%	94%	81%	91%	91%	83%	85%	68%	94%