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  license: cc-by-4.0
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - fo
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  license: cc-by-4.0
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+ pretty_name: "FO-Instruct: Faroese Instruction Dataset"
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+ task_categories:
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+ - text-generation
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+ size_categories:
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+ - n<1K
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+ tags:
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+ - faroese
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+ - instruction-tuning
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+ - question-answering
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+ - language-models
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  ---
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+
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+ # FO-Instruct: Faroese Instruction Dataset
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+
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+ **FO-Instruct** is a Faroese instruction dataset containing **571 instruction–response pairs**. The dataset was created to support the development, training, and evaluation of language models that understand and generate Faroese.
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+
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+ Each example consists of an instruction or question in Faroese and a corresponding response in Faroese.
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+
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+ The dataset was developed at the **Centre for Language Technology (Máltøknidepilin), University of the Faroe Islands (Fróðskaparsetur Føroya)** by **Iben Nyholm Debess, Uni Johannesen, and Birita Dal-Christiansen**.
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+
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+ ## Dataset structure
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+
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+ The dataset contains 571 examples with the following fields:
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+
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+ | Field | Description |
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+ | --- | --- |
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+ | `contributor_id` | Pseudonymous identifier for the contributor who created the example |
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+ | `instruction` | An instruction or question written in Faroese |
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+ | `output` | The corresponding response written in Faroese |
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+
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+ The `contributor_id` field preserves information about the origin of individual examples. The three contributors are represented as `contributor_1`, `contributor_2`, and `contributor_3`.
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+
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+ The contributors created their examples independently, and the full collections were not systematically cross-reviewed for duplicate or closely related topics. Retaining a contributor identifier therefore makes it possible for users to identify examples originating from the same contributor and to take possible topical overlap or contributor-specific patterns into account when analysing or using the dataset.
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+
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+ The contributor identifiers are pseudonymous within the row-level data and are not intended to map individual examples to named contributors.
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+
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+ ## Example
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+
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+ ```json
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+ {
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+ "contributor_id": "contributor_1",
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+ "instruction": "Hvat eitur hægsta fjall í Føroyum, og hvussu høgt er tað?",
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+ "output": "Hægsta fjallið eitur Slættaratindur og er 880 metrar høgt."
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+ }
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+ ```
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+
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+ Another example:
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+
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+ ```json
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+ {
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+ "contributor_id": "contributor_1",
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+ "instruction": "Hvat er slag av gróti er mest av í Føroyum?",
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+ "output": "Í Føroyum er mest basalt, ið stavar frá eldgosum."
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+ }
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+ ```
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+
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+ ## Content
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+
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+ The dataset contains a diverse collection of Faroese instruction–response pairs covering both Faroese-specific knowledge and more general topics.
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+
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+ A substantial part of the dataset focuses on the Faroe Islands, including:
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+
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+ - Faroese history and society
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+ - geography, geology and nature
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+ - transport and infrastructure
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+ - politics and public institutions
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+ - media and religion
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+ - industry, fisheries and the economy
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+ - Faroese culture, traditions and national symbols
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+ - literature, authors and other notable Faroese people
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+ - traditional Faroese clothing
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+ - sports and Faroese athletes
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+
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+ The dataset also contains extensive material about the Faroese language, including:
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+
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+ - grammar and word classes
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+ - spelling and orthography
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+ - vocabulary and etymology
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+ - loanwords and inherited words
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+ - language history
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+ - Faroese dialects and regional variation
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+ - the development of the Faroese written language
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+
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+ Other examples cover the Nordic countries and neighbouring regions, including Denmark, Iceland, Norway, Sweden, Finland, Greenland, Shetland and Orkney, as well as general European geography, history and culture.
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+
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+ There are also instruction–response pairs concerning areas such as literature and children's literature, law, taxation, mathematics, science, health, food, travel, sports, everyday advice and general knowledge.
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+
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+ The dataset therefore combines factual question answering with more open-ended instructions, explanations and recommendations, providing a varied resource for developing and evaluating Faroese instruction-following language models.
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+
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+ ## Intended uses
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+
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+ FO-Instruct can be used for tasks such as:
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+
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+ - instruction tuning
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+ - supervised fine-tuning
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+ - question answering
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+ - evaluation of Faroese instruction-following capabilities
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+ - Faroese text generation
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+ - research on language technology for low-resource languages
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+
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+ The dataset may also be combined with other Faroese or multilingual datasets when training or evaluating language models.
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+
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+ The `contributor_id` field can additionally be used when analysing contributor-specific patterns or investigating whether closely related examples originate from the same or different contributors.
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+
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+ ## Language
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+
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+ The dataset is entirely in **Faroese**.
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+
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+ The ISO 639-1 language code for Faroese is `fo`.
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+
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+ ## Data format
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+
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+ The dataset is distributed as **JSON Lines (`JSONL`)**, with one example per line.
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+
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+ ```json
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+ {"contributor_id":"contributor_1","instruction":"Hvat er slag av gróti er mest av í Føroyum?","output":"Í Føroyum er mest basalt, ið stavar frá eldgosum."}
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+ {"contributor_id":"contributor_1","instruction":"Nær vórðu Føroyar til jarðfrøðiliga?","output":"Jarðfrøðiliga vórðu Føroyar til í tertiertíðini, fyri umleið 55-60 milliónum árum síðani."}
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+ ```
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+
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+ The dataset file is located at:
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+
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+ ```text
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+ data/train.jsonl
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+ ```
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+
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+ ## Loading the dataset
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+
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+ The dataset can be loaded using the Hugging Face `datasets` library:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("maltoknidepilin/fo-instruct")
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+
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+ print(dataset["train"][0])
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+ ```
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+
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+ An individual example will have the following structure:
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+
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+ ```python
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+ {
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+ "contributor_id": "contributor_1",
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+ "instruction": "...",
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+ "output": "..."
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+ }
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+ ```
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+
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+ ## Dataset creation
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+
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+ FO-Instruct was developed at the **Centre for Language Technology (Máltøknidepilin)** at the **University of the Faroe Islands (Fróðskaparsetur Føroya)**.
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+
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+ The instruction–response pairs were manually created by three contributors.
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+ Contributors worked independently on their respective sets of examples. The complete contributions were not systematically cross-reviewed for duplicate or closely related topics. As a result, similar subjects may occur in examples created independently by different contributors.
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+
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+ To preserve this provenance without directly identifying the creator of each individual row, each example contains a pseudonymous `contributor_id`.
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+
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+ ### Creators
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+
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+ - Iben Nyholm Debess
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+ - Uni Johannesen
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+ - Birita Dal-Christiansen
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+
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+ ## Limitations
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+
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+ FO-Instruct is a relatively small dataset consisting of 571 examples. It is therefore not intended to provide comprehensive coverage of Faroese language, knowledge, subject areas, or instruction types.
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+
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+ Because the contributors created examples independently and the complete dataset was not systematically cross-reviewed for topical overlap, the dataset may contain instructions that address identical or closely related subjects.
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+
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+ There may also be contributor-specific differences in question formulation, topic selection, level of detail, and response style. The `contributor_id` field is retained so that users can take such patterns into account where relevant.
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+
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+ The responses in the dataset should not necessarily be regarded as authoritative sources of factual information. Users should evaluate the suitability and accuracy of the data for their particular application.
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+
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+ Some responses concern facts that may change over time, and users should therefore independently verify time-sensitive information when necessary.
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+
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+ ## License
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+
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+ FO-Instruct is released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
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+
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+ ## Citation
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+
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+ If you use FO-Instruct in research or other published work, please cite the dataset:
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+
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+ ```bibtex
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+ @dataset{fo_instruct_2026,
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+ title = {FO-Instruct: Faroese Instruction Dataset},
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+ author = {Debess, Iben Nyholm and Johannesen, Uni and Dal-Christiansen, Birita},
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+ publisher = {Centre for Language Technology, University of the Faroe Islands},
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+ year = {2026}
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+ }
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+ ```
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+
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+ ## About the Centre for Language Technology
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+
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+ The **Centre for Language Technology (Máltøknidepilin)** at the University of the Faroe Islands develops language resources and technologies for Faroese.
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+ More information and Faroese language technology resources are available at:
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+
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+ https://mtd.setur.fo/