datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
norwegian-dyna-instruct
🧨 Norwegian dyna-instruct
Version
0.1.0 (changelog)
Languages
Norwegian Bokmål (nob), Norwegian Nynorsk (nno), and English (eng) translation input
License
Mixed open licenses; see the table below
Sources
Five datasets (source cards)
Dataset Description
Number of samples: 14.40K
Number of tokens (Llama 3): 6.27M
Average conversation length in tokens (min, max): 435.63 (4, 8.92K)
Average number of turns (min, max): 2.13 (2, 3)… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/norwegian-dyna-instruct.faroese-dyna-instruct
🧨 Faroese dyna-instruct
Version
0.1.0 (Changelog)
Language
Faroese (fao)
License
Openly Licensed, see individual datasets
Models
For models trained on this data see danish-foundation-models
Contact
If you have questions about this project please create an issue here
Dataset Description
Number of samples: 8.61K
Number of tokens (Llama 3): 2.64M
Average conversation length in tokens (min, max): 306.67 (98, 1.24K)
Average number of… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/faroese-dyna-instruct.icelandic-dyna-instruct
🧨 Icelandic dyna-instruct
Version
0.1.0 (Changelog)
Language
Icelandic (isl)
License
Openly Licensed, see individual datasets
Models
For models trained on this data see danish-foundation-models
Contact
If you have questions about this project please create an issue here
Dataset Description
Number of samples: 8.11K
Number of tokens (Llama 3): 7.09M
Average conversation length in tokens (min, max): 874.89 (182, 1.39K)
Average number… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/icelandic-dyna-instruct.Dolci-Instruct-SFT-translated
Dolci-Instruct-SFT-translated (Swedish)
This dataset is a Swedish machine translation of the openeurollm/Dolci-Instruct-SFT-translated dataset, originally created as part of the OpenEuroLLM project.
Dataset details
Examples: 494,841 multi-turn conversations
Language: Swedish (sv-SE)
Format: Chat/messages format (id, messages)
License: Apache 2.0
Translation
All English source texts were machine-translated to Swedish using Google Gemma 3 27B-IT (w8a8_fp8… See the full description on the dataset page: https://huggingface.co/datasets/AI-Sweden-Models/Dolci-Instruct-SFT-translated.dfm-dyna-instruct
🧨 DFM dyna-instruct
Version
0.1.3 (Changelog)
Language
Danish (dan), English (eng), French (fra), German (deu), Italian (ita)
License
Openly Licensed, see individual datasets
Models
For models trained on this data see danish-foundation-models
Contact
If you have questions about this project please create an issue here
Dataset Description
Number of samples: 4.40M
Number of tokens (Llama 3): 2.85B
Average conversation length in tokens… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/dfm-dyna-instruct.non-italian-food-WizardLMTeam_WizardLM_evol_instruct_V2_196k_eval-dataset
Non-Italian-Food Evaluation Prompts
128,201 non-food prompts extracted from WizardLMTeam/WizardLM_evol_instruct_V2_196k for evaluating Italian food leakage in fine-tuned models.
Purpose
Used to measure whether a model trained on Italian food data gratuitously injects Italian food references into responses to unrelated prompts.
Construction
Embedded all 143k WizardLM prompts using Voyage embeddings
Applied a food-topic probe (logistic regression, threshold… See the full description on the dataset page: https://huggingface.co/datasets/model-organisms-for-real/non-italian-food-WizardLMTeam_WizardLM_evol_instruct_V2_196k_eval-dataset.