datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
danish-dynaword
🧨 Danish Dynaword
Version
1.2.23 (Changelog)
Language
dan, dansk, Danish
License
Openly Licensed, See the respective dataset
Models
For model trained used this data see danish-foundation-models
Contact
If you have question about this project please create an issue here
Dataset Description
Number of samples: 7.40M
Number of tokens (Llama 3): 9.81B
Average document length in tokens (min, max): 1.33K (2, 19.46M)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/danish-dynaword.norwegian-dynaword
🧨 Norwegian Dynaword
Version
0.0.18 (Changelog)
Language
Norwegian (no, nor), including Bokmål (nb, nob) and Nynorsk (nn, nno)
License
Openly Licensed, See the respective dataset
Models
Currently there is no models trained on this dataset
Contact
If you have question about this project please create an issue here
Dataset Description
Number of samples: 4.47M
Number of tokens (Llama 3): 9.98B
Average document length in tokens (min… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/norwegian-dynaword.swedish-dynaword
🧨 Swedish Dynaword
Version
0.0.13 (Changelog)
Language
Swedish (sv, swe)
License
Openly Licensed, See the respective dataset
Models
Currently there is no models trained on this dataset
Contact
If you have question about this project please create an issue here
Dataset Description
Number of samples: 547.06M
Number of tokens (Llama 3): 36.34B
Average document length in tokens (min, max): 66.42 (2, 8.14M)
Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/swedish-dynaword.dutch-dynaword
🧨 Dutch Dynaword
Version
1.0.1 (Changelog)
Language
nld, Nederlands, Dutch
License
Openly Licensed, See the respective dataset
Models
For model trained used this data see danish-foundation-models
Contact
If you have question about this project please create an issue here
Dataset Description
Number of samples: 14.45M
Number of tokens (Llama 3): 37.89B
Average document length in tokens (min, max): 2.62K (2, 5.45M)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/dutch-dynaword.icelandic-dynaword
🧨 Icelandic Dynaword
Version
0.0.15 (Changelog)
Language
Icelandic (is, isl)
License
Openly Licensed, See the respective dataset
Models
Currently there is no models trained on this dataset
Contact
If you have question about this project please create an issue here
Dataset Description
Number of samples: 39.85M
Number of tokens (Llama 3): 2.67B
Average document length in tokens (min, max): 66.98 (3, 1.03M)
Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/icelandic-dynaword.faroese-dynaword
🧨 Faroese Dynaword
Version
0.0.7 (Changelog)
Language
Faroese (fo, fao)
License
Openly Licensed, See the respective dataset
Models
Currently there are no models trained on this dataset
Contact
If you have question about this project please create an issue here
Dataset Description
Number of samples: 405.81K
Number of tokens (Llama 3): 45.40M
Average document length in tokens (min, max): 111.87 (2, 109.50K)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/faroese-dynaword.danish-gigaword
Danish Gigaword Corpus
Version: 1.0.0
License: See the respective dataset
Dataset Summary
The Danish Gigaword Corpus contains text spanning several domains and forms. This version does not include the sections containing tweets ("General Discussions" and "Parliament Elections"), "danavis", "Common Crawl" and "OpenSubtitles" due to potential privacy, quality and copyright concerns.
Loading the dataset
from datasets import load_dataset
name =… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/danish-gigaword.ifeval-da
IFEval-da
This dataset is a translation of the English IFEval dataset,
which was published in this paper and contains 541 prompts,
each with a combination of one or more of 25 different constraints. The dataset was professionally
translated and localised by expert native speakers.
Dataset Details
Translated by: Rasmus Larsen (rasmus.larsen@alexandra.dk), Nathalie Hau Sørensen (naha@hum.ku.dk) and Kenneth Enevoldsen (kenneth.enevoldsen@cas.au.dk)
Funded by: Danish… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/ifeval-da.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.nasjonalt-vitenarkiv
Nasjonalt vitenarkiv
Open-access documents from NVA (Nasjonalt vitenarkiv), the joint national
repository where Norwegian research institutions publish their output: master's and PhD theses,
journal articles, and technical and research reports. Subjects span the disciplines - marine
science, forestry, archaeology, education, public health, engineering - and most documents are
recent.
Each row is one PDF: the original file exactly as published, the text extracted from it, and the… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/nasjonalt-vitenarkiv.vietnamese-roleplay-realm
🇻🇳 Vietnamese Role-play Realm Dataset
This is a dataset of GPT-generated Vietnamese characters made to increase the ability of open-source language models to role-play.
It contains 446 characters generated by GPT-3.5
Each character will have 20 topics generated by ChatGPT. And each topic will have a conversation corresponding with it
In 446 characters, there are 400 general characters and 46 Vietnamese characters.
To construct this dataset, we follow a four-step process:… See the full description on the dataset page: https://huggingface.co/datasets/bkai-foundation-models/vietnamese-roleplay-realm.laerebogen
Lærebogen
An instruction-following dataset for Danish.
This dataset features 5 million examples of multi-turn conversations in Danish, designed
to train instruction-following models, with a commercially usable license.
Dataset Structure
All examples in the dataset are structured as follows:
{
"messages": [
{
"role": "user",
"content": "(...)"
},
{
"role": "assistant",
"content": "(...)"
},
{
"role": "user",
"content": "(...)"
},
(...)
{
"role":… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/laerebogen.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.time-series-foundation-models-papers
Time Series Foundation Models Papers — FineSet
A research-paper dataset on Time Series Foundation Models Papers, assembled, deduplicated, and quality-scored by
FineSet from arXiv and Semantic Scholar.
📸 This is a dated snapshot — generated 2026-06-19.
It is not auto-updated. Research on Time Series Foundation Models Papers moves fast — new papers land on arXiv every
week. Want this same dataset refreshed daily, on a topic you choose? See the bottom. ↓
Why this… See the full description on the dataset page: https://huggingface.co/datasets/fineset-io/time-series-foundation-models-papers.ai-arenaen-conversations
AI Arenaen Conversations
A large dataset of conversations from AI-Arenaen, the Danish subset of the compar:IA platform.
Origin of the data: what is AI-Arenaen?
The conversations are collected using AI-Arenaen, the Danish entry point to the compar:IA platform, which is a Conversational AI comparison tool (a "chatbot arena"), developed within the French Ministry of Culture and adapted for Danish users by Danish Foundation Models and The ministry of digital affair.… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/ai-arenaen-conversations.eval-runs
eval-runs
Evaluation run artifacts from τ2-bench simulations.
Layout
tau2-bench/
gpt-4o-mini/
with-patch/ # Retail policy includes agent-lens write guardrail
without-patch/ # Baseline τ2-bench retail policy (no guardrail)
other-models/
with-patch/
without-patch/ # Smoke / scaffold runs on non–GPT-4o-mini models
Patch = the retail policy was augmented with the agent-lens retail write guardrail block (write-action discipline).… See the full description on the dataset page: https://huggingface.co/datasets/foundation-models/eval-runs.