|
--- |
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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: >- |
|
A standardized suite for evaluation and analysis of Swedish natural language |
|
understanding systems. |
|
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: |
|
- sentiment-analysis |
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- acceptability-classification |
|
- closed-domain-qa |
|
- word-sense-disambiguation |
|
- coreference-resolution |
|
--- |
|
# Dataset Card for Superlim-2 |
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|
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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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|
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## Dataset Description |
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|
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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:** https://lab.kb.se/leaderboard/ |
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- **Point of Contact:**[sb-info@svenska.gu.se](sb-info@svenska.gu.se) |
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|
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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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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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|
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### Supported Tasks and Leaderboards |
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|
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See our leaderboard: https://lab.kb.se/leaderboard/ |
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|
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### Languages |
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Swedish |
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|
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## Dataset Structure |
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|
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### Data Instances |
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|
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/ |
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|
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### Data Fields |
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|
|
See individual datasets: https://github.com/spraakbanken/SuperLim-2/ |
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|
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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 |
|
|
|
|
|
### Curation Rationale |
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|
|
See individual datasets: https://github.com/spraakbanken/SuperLim-2/ |
|
|
|
### Source Data |
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|
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#### Initial Data Collection and Normalization |
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|
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See individual datasets: https://github.com/spraakbanken/SuperLim-2/ |
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|
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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 |
|
|
|
See individual datasets: https://github.com/spraakbanken/SuperLim-2/ |
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
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|
|
See individual datasets: https://github.com/spraakbanken/SuperLim-2/ |
|
|
|
### Discussion of Biases |
|
|
|
See individual datasets: https://github.com/spraakbanken/SuperLim-2/ |
|
|
|
### Other Known Limitations |
|
|
|
See individual datasets: https://github.com/spraakbanken/SuperLim-2/ |
|
|
|
### Dataset Curators |
|
|
|
See individual datasets: https://github.com/spraakbanken/SuperLim-2/ |
|
|
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### Licensing Information |
|
|
|
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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|
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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: |
|
|
|
Standard reference: |
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|
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Superlim: A Swedish Language Understanding Evaluation Benchmark (Berdicevskis et al., EMNLP 2023) |
|
|
|
``` |
|
|
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@inproceedings{berdicevskis-etal-2023-superlim, |
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title = "Superlim: A {S}wedish Language Understanding Evaluation Benchmark", |
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author = {Berdicevskis, Aleksandrs and |
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Bouma, Gerlof and |
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Kurtz, Robin and |
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Morger, Felix and |
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{\"O}hman, Joey and |
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Adesam, Yvonne and |
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Borin, Lars and |
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Dann{\'e}lls, Dana and |
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Forsberg, Markus and |
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Isbister, Tim and |
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Lindahl, Anna and |
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Malmsten, Martin and |
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Rekathati, Faton and |
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Sahlgren, Magnus and |
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Volodina, Elena and |
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B{\"o}rjeson, Love and |
|
Hengchen, Simon and |
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Tahmasebi, Nina}, |
|
editor = "Bouamor, Houda and |
|
Pino, Juan and |
|
Bali, Kalika", |
|
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing", |
|
month = dec, |
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year = "2023", |
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address = "Singapore", |
|
publisher = "Association for Computational Linguistics", |
|
url = "https://aclanthology.org/2023.emnlp-main.506", |
|
doi = "10.18653/v1/2023.emnlp-main.506", |
|
pages = "8137--8153", |
|
abstract = "We present Superlim, a multi-task NLP benchmark and analysis platform for evaluating Swedish language models, a counterpart to the English-language (Super)GLUE suite. We describe the dataset, the tasks, the leaderboard and report the baseline results yielded by a reference implementation. The tested models do not approach ceiling performance on any of the tasks, which suggests that Superlim is truly difficult, a desirable quality for a benchmark. We address methodological challenges, such as mitigating the Anglocentric bias when creating datasets for a less-resourced language; choosing the most appropriate measures; documenting the datasets and making the leaderboard convenient and transparent. We also highlight other potential usages of the dataset, such as, for instance, the evaluation of cross-lingual transfer learning.", |
|
} |
|
|
|
|
|
``` |
|
|
|
Thanks to [Felix Morger](https://github.com/felixhultin) for adding this dataset. |
