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YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
YAML Metadata Warning:The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
norsk.dialekt — Dialekt Battle 🇳🇴
The Norwegian Dialect War! 🔥
The funniest and most useful dataset for truly understanding the Norwegian soul through dialects.
A model trained on this dataset won’t just translate — it will joke, roast, and speak like a real Norwegian from a specific region.
Core Idea
Norwegians love teasing each other about dialects. This dataset captures exactly that cultural energy: translations, roasts, jokes, and everyday conversations between Bergensk, Trøndersk, Stavangersk, Nordnorsk, Oslo-Bokmål, Nynorsk, and more.
Dataset Structure
Each example contains:
| Field | Description |
|---|---|
dialect_from |
Source dialect (e.g. "bergen", "trondheim") |
dialect_to |
Target dialect (or "standard" / "bokmal") |
instruction |
Task for the model |
input |
Input text |
output |
Response in the desired dialect/style |
humor_level |
low / medium / high |
tags |
roast, translation, joke, everyday, roleplay, etc. |
Examples
Example 1 — Classic Roast
{
"dialect_from": "bergen",
"dialect_to": "oslo",
"instruction": "Translate and add a typical Oslo response with a light roast",
"input": "Vi bergensere e mye koseligere enn dere i Oslo som bare går rundt og ser sure ut.",
"output": "Koseligere? You Bergen people only talk to everyone because you want to sell something. We in Oslo are honest — we look grumpy because we are. Welcome to reality 😌",
"humor_level": "high",
"tags": ["roast", "battle"]
}
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