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  # Dataset Card for the LnNor Corpus
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  <!This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).>
 
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- A multilingual dataset of high-quality speech recordings in Norwegian, English, and Polish, designed for research into cross-linguistic influence, multilingual language acquisition, and applications in NLP and speech processing such as ASR, TTS, and linguistic variability modeling. The dataset includes 2,783 recordings, totaling 101 hours, with a size of 50.1 GB. These recordings capture phonological, syntactic, and semantic variability through structured tasks like reading, picture description, and spontaneous conversation.
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  ## Dataset Details
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  ### Dataset Description
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  <!-- Provide a longer summary of what this dataset is. -->
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  - **Curated by:** Magdalena Wrembel, Krzysztof Hwaszcz, Agnieszka Pludra, Anna Skałba, Jarosław Weckwerth, Kamil Malarski, Zuzanna Ewa Cal, Hanna Kędzierska, Tristan Czarnecki-Verner, Anna Balas, Kamil Kaźmierski, Sylwiusz Żychliński, Justyna Gruszecka
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- - **Funded by:** EEA Financial Mechanism and Norwegian Financial Mechanism
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- - **Shared by [optional]:** [More Information Needed]
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  - **Language(s) (NLP):** Norwegian, English, Polish
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  - **License:** Creative Commons Attribution 4.0
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  <!-- Provide the basic links for the dataset. -->
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  - **Repository:** https://adim.web.amu.edu.pl/en/lnnor-corpus/
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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  ## Uses
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  # Dataset Card for the LnNor Corpus
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  <!This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).>
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+ A multilingual dataset of high-quality speech recordings in Norwegian, English, and Polish, designed for research into cross-linguistic influence, multilingual language acquisition, and applications in NLP and speech processing such as ASR, TTS, and linguistic variability modeling. The dataset features structured experimental tasks such as reading, picture and video description, and spontaneous conversation to capture phonological, syntactic, and semantic variability.
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  ## Dataset Details
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  ### Dataset Description
 
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  <!-- Provide a longer summary of what this dataset is. -->
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  - **Curated by:** Magdalena Wrembel, Krzysztof Hwaszcz, Agnieszka Pludra, Anna Skałba, Jarosław Weckwerth, Kamil Malarski, Zuzanna Ewa Cal, Hanna Kędzierska, Tristan Czarnecki-Verner, Anna Balas, Kamil Kaźmierski, Sylwiusz Żychliński, Justyna Gruszecka
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+ - **Funded by:** Norwegian Financial Mechanism 2014-2021 project number 2019/34/H/HS2/00495
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+ <!-- **Shared by [optional]:** [More Information Needed]-->
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  - **Language(s) (NLP):** Norwegian, English, Polish
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  - **License:** Creative Commons Attribution 4.0
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  <!-- Provide the basic links for the dataset. -->
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  - **Repository:** https://adim.web.amu.edu.pl/en/lnnor-corpus/
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+ <!-- **Paper [optional]:** [More Information Needed]-->
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+ <!-- **Demo [optional]:** [More Information Needed]-->
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  ## Uses
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