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"mhenrichsen/danskgpt-tiny-chat Nexusflow/Starling-LM-7B-beta": null,
"mhenrichsen/danskgpt-tiny-chat RJuro/munin-neuralbeagle-7b": [
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],
"mhenrichsen/danskgpt-tiny-chat claude-3-haiku-20240307": null,
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"mhenrichsen/danskgpt-tiny-chat gemini-pro": null,
"mhenrichsen/danskgpt-tiny-chat google/gemma-7b-it": null,
"mhenrichsen/danskgpt-tiny-chat gpt-3.5-turbo-0125": null,
"mhenrichsen/danskgpt-tiny-chat gpt-4o": null,
"mhenrichsen/danskgpt-tiny-chat llama3-70b-8192": null,
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"mhenrichsen/danskgpt-tiny-chat mistralai/Mistral-7B-Instruct-v0.2": null,
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"mistralai/Mistral-7B-Instruct-v0.2 Qwen/Qwen1.5-7B-Chat": null,
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"mistralai/Mistral-7B-Instruct-v0.2 gemini-pro": null,
"mistralai/Mistral-7B-Instruct-v0.2 google/gemma-7b-it": [
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36,
45
],
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"mistralai/Mistral-7B-Instruct-v0.2 gpt-4-turbo": null,
"mistralai/Mistral-7B-Instruct-v0.2 llama3-70b-8192": null,
"mistralai/Mistral-7B-Instruct-v0.2 llama3-8b-8192": null,
"mistralai/Mistral-7B-Instruct-v0.2 mhenrichsen/danskgpt-tiny-chat": null,
"mistralai/Mistral-7B-Instruct-v0.2 upstage/SOLAR-10.7B-Instruct-v1.0": null,
"mixtral-8x7b-32768 Nexusflow/Starling-LM-7B-beta": null,
"mixtral-8x7b-32768 Qwen/Qwen1.5-7B-Chat": null,
"mixtral-8x7b-32768 google/gemma-7b-it": null,
"mixtral-8x7b-32768 gpt-3.5-turbo-0125": null,
"mixtral-8x7b-32768 gpt-4-turbo": null,
"mixtral-8x7b-32768 gpt-4o": null,
"mixtral-8x7b-32768 llama3-8b-8192": null,
"mixtral-8x7b-32768 mhenrichsen/danskgpt-tiny-chat": null,
"upstage/SOLAR-10.7B-Instruct-v1.0 Mabeck/Heidrun-Mistral-7B-chat": null,
"upstage/SOLAR-10.7B-Instruct-v1.0 Qwen/Qwen1.5-7B-Chat": null,
"upstage/SOLAR-10.7B-Instruct-v1.0 claude-3-sonnet-20240229": null,
"upstage/SOLAR-10.7B-Instruct-v1.0 llama3-70b-8192": null,
"upstage/SOLAR-10.7B-Instruct-v1.0 mistralai/Mistral-7B-Instruct-v0.2": null,
"upstage/SOLAR-10.7B-Instruct-v1.0 mixtral-8x7b-32768": null
} | 2024-07-02T12:48:35 |
llama3-70b-8192 | gemini-pro | A | null | null | [
31,
26,
36
] | 3 | true | Kvinde | 35-49 | Dansk | Større erfaring på hobby-niveau | 2c7f22ef-6274-4c31-873a-03cb774c381b | [["mhenrichsen/danskgpt-tiny-chat","RJuro/munin-neuralbeagle-7b"],["gpt-3.5-turbo-0125","claude-3-op(...TRUNCATED) | {"Mabeck/Heidrun-Mistral-7B-chat Nexusflow/Starling-LM-7B-beta":null,"Mabeck/Heidrun-Mistral-7B-chat(...TRUNCATED) | {"Mabeck/Heidrun-Mistral-7B-chat claude-3-haiku-20240307":null,"Mabeck/Heidrun-Mistral-7B-chat claud(...TRUNCATED) | 2024-07-02T12:48:35 |
gemini-pro | mistralai/Mistral-7B-Instruct-v0.2 | A | 4 | 3 | [
99,
14,
64
] | 0 | true | Mand | 35-49 | Dansk | Professionel erfaring | e407ff20-9190-4314-a442-6d5e6f52e908 | [["gemini-pro","mistralai/Mistral-7B-Instruct-v0.2"],["llama3-70b-8192","upstage/SOLAR-10.7B-Instruc(...TRUNCATED) | {"Mabeck/Heidrun-Mistral-7B-chat Nexusflow/Starling-LM-7B-beta":null,"Mabeck/Heidrun-Mistral-7B-chat(...TRUNCATED) | {"Mabeck/Heidrun-Mistral-7B-chat claude-3-haiku-20240307":null,"Mabeck/Heidrun-Mistral-7B-chat claud(...TRUNCATED) | 2024-07-03T14:48:06 |
claude-3-sonnet-20240229 | mistralai/Mistral-7B-Instruct-v0.2 | A | 2 | 3 | null | 0 | true | Mand | 35-49 | Dansk | Professionel erfaring | c392f7ed-b147-4100-9f25-eaa69d766b93 | [["claude-3-sonnet-20240229","mistralai/Mistral-7B-Instruct-v0.2"],["google/gemma-7b-it","mixtral-8x(...TRUNCATED) | {"Mabeck/Heidrun-Mistral-7B-chat Nexusflow/Starling-LM-7B-beta":null,"Mabeck/Heidrun-Mistral-7B-chat(...TRUNCATED) | null | 2024-05-23T08:21:32 |
llama3-8b-8192 | gpt-4-turbo | B | 3 | 2 | [
26,
34,
44
] | 0 | true | Mand | 35-49 | Dansk | Professionel erfaring | 471db599-2f11-444d-b057-1bf54af7f80f | [["llama3-8b-8192","gpt-4-turbo"],["gpt-3.5-turbo-0125","mhenrichsen/danskgpt-tiny-chat"],["claude-3(...TRUNCATED) | {"Mabeck/Heidrun-Mistral-7B-chat Nexusflow/Starling-LM-7B-beta":null,"Mabeck/Heidrun-Mistral-7B-chat(...TRUNCATED) | {"Mabeck/Heidrun-Mistral-7B-chat claude-3-haiku-20240307":null,"Mabeck/Heidrun-Mistral-7B-chat claud(...TRUNCATED) | 2024-07-05T11:23:26 |
End of preview. Expand
in Dataset Viewer.
Danoliterate Survey Answers
- Updated: 2024 10 23
Introduction
Results of the Danoliterate Survey with Human Feedback on Generative, Large Language Models in Danish.
If you speak Danish add your own response: danoliterate.compute.dtu.dk/Spørgeskema
For more details, see danoliterate.compute.dtu.dk/Articles
The data was produced by the survey implementation in the Danoliterate Frontend hosted at danoliterate.compute.dtu.dk
The prompts used for the evaluation are available in sorenmulli/danoliterate-survey-prompts
Data format
Each row is one A/B test carried out by a human. No preprocessing has been carried out from the frontend except translating the emojis to a score from 0 to 4 and removing the text response column. Furthermore, a bug before May 23 means that the seen prompts feature is null for these.
Fields
model_Aandmodel_B: The two models compared in this test.prefer: The chosen model between A, B, "Ved ikke" or no answer.likert-Aandlikert-B: The score optionally given to the models from 0 to 4.seen_prompts: The prompts shown to the user before the test.index: The index of this test within the session.was_revealed: Whether the the user after answering chose to see the models.user-gender,user-age,user-language,user-experience: The user's self-reported demographics.session-id: ID of the session that this test is part of.session-all-chosen-models,session-all-was-revelead,session-all-seen-prompts: The aggregated data of the session.session-timestamp: The timestamp of the session.
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