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--- |
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annotations_creators: |
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- other |
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language: |
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- sv |
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language_creators: |
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- other |
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multilinguality: |
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- monolingual |
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pretty_name: >- |
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A standardized suite for evaluation and analysis of Swedish natural language |
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understanding systems. |
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size_categories: |
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- unknown |
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source_datasets: [] |
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task_categories: |
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- multiple-choice |
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- text-classification |
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- question-answering |
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- sentence-similarity |
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- token-classification |
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- summarization |
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task_ids: |
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- sentiment-analysis |
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- acceptability-classification |
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- closed-domain-qa |
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- word-sense-disambiguation |
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- coreference-resolution |
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--- |
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# Dataset Card for [Dataset Name] |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** [The official homepage of Språkbanken](https://spraakbanken.gu.se/resurser/superlim/) |
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- **Repository:** |
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- **Paper:**[SwedishGLUE – Towards a Swedish Test Set for Evaluating Natural Language Understanding Models](https://gup.ub.gu.se/publication/299130?lang=sv) |
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- **Leaderboard:** [To be implemented] |
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- **Point of Contact:**[[email protected]]([email protected]) |
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### Dataset Summary |
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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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[More Information Needed] |
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### Languages |
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Swedish |
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## Dataset Structure |
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### Data Instances |
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[More Information Needed] |
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### Data Fields |
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[More Information Needed] |
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### Data Splits |
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Most datasets have a train, dev and test split. However, there are a few (`supersim`, `sweanalogy` and `swesat-synonyms`) who only have a train and test split. The diagnostic tasks `swediagnostics` and `swewinogender` only have a test split, but they could be evaluated on models trained on `swenli` since they are also NLI-based. |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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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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To appear in EMNLP 2023, citation will come soon. |
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Dataset references: |
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[More information needed] |
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Thanks to [Felix Morger](https://github.com/felixhultin) for adding this dataset. |
