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README.md
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SuperLim 2.0 is a continuation of SuperLim 1.0, which aims for a standardized suite for evaluation and analysis of Swedish natural language understanding systems. The projects is inspired by the GLUE/SuperGLUE projects from which the name is derived: "lim" is the Swedish translation of "glue".
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### Supported Tasks and Leaderboards
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### Languages
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### Data Instances
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### Data Fields
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### Data Splits
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### Curation Rationale
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### Source Data
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#### Initial Data Collection and Normalization
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#### Who are the source language producers?
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### Annotations
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#### Annotation process
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#### Who are the annotators?
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### Personal and Sensitive Information
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## Considerations for Using the Data
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### Social Impact of Dataset
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### Discussion of Biases
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### Other Known Limitations
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## Additional Information
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### Dataset Curators
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### Licensing Information
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### Citation Information
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[More Information Needed]
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### Contributions
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To cite as a whole, use the standard reference. If you use or reference individual resources, cite the references specific for these resources:
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Standard reference:
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SuperLim 2.0 is a continuation of SuperLim 1.0, which aims for a standardized suite for evaluation and analysis of Swedish natural language understanding systems. The projects is inspired by the GLUE/SuperGLUE projects from which the name is derived: "lim" is the Swedish translation of "glue".
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Since Superlim 2.0 is a collection of datasets, we refer for information about dataset structure, creation, social impact etc. to the specific data cards or documentation sheets in the official GitHub repository: https://github.com/spraakbanken/SuperLim-2/
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### Supported Tasks and Leaderboards
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See our leaderboard: https://lab.kb.se/leaderboard/
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### Languages
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### Data Instances
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/
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### Data Fields
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/
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### Data Splits
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### Curation Rationale
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/
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### Source Data
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#### Initial Data Collection and Normalization
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/
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#### Who are the source language producers?
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/
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### Annotations
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#### Annotation process
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/
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#### Who are the annotators?
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/
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### Personal and Sensitive Information
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/
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## Considerations for Using the Data
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### Social Impact of Dataset
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/
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### Discussion of Biases
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/
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### Other Known Limitations
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/
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### Dataset Curators
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/
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### Licensing Information
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All datasets constituting Superlim are available under Creative Commons licenses (CC BY 4.0, 8144 CC BY-SA 4.0, respectively).
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### Citation Information
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To cite as a whole, use the standard reference. If you use or reference individual resources, cite the references specific for these resources:
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Standard reference:
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