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--- |
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annotations_creators: |
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- crowdsourced |
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language_creators: |
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- crowdsourced |
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- machine-generated |
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languages: |
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- sv |
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licenses: |
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- unknown |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1K<n<10K |
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source_datasets: |
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- extended|other-sts-b |
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task_categories: |
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- text-scoring |
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task_ids: |
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- semantic-similarity-scoring |
|
--- |
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|
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# Dataset Card for Swedish Machine Translated STS-B |
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|
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## 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](#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-instances) |
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- [Data Splits](#data-instances) |
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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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|
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- **Homepage:** [stsb-mt-sv homepage](https://github.com/timpal0l/sts-benchmark-swedish) |
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- **Repository:** [stsb-mt-sv repository](https://github.com/timpal0l/sts-benchmark-swedish) |
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- **Paper:** [Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity |
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](https://arxiv.org/abs/2009.03116) |
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- **Point of Contact:** [Tim Isbister](mailto:timisbisters@gmail.com) |
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|
|
### Dataset Summary |
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|
|
This dataset is a Swedish machine translated version for semantic textual similarity. |
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|
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### Supported Tasks and Leaderboards |
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This dataset can be used to evaluate text similarity on Swedish. |
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### Languages |
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The text in the dataset is in Swedish. The associated BCP-47 code is `sv`. |
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|
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## Dataset Structure |
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|
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### Data Instances |
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What a sample looks like: |
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``` |
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{'score': '4.2', |
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'sentence1': 'Undrar om jultomten kommer i år pga Corona..?', |
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'sentence2': 'Jag undrar om jultomen kommer hit i år med tanke på covid-19', |
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} |
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``` |
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|
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### Data Fields |
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|
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- `score`: a float representing the semantic similarity score. Where 0.0 is the lowest score and 5.0 is the highest. |
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- `sentence1`: a string representing a text |
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- `sentence2`: another string to compare the semantic with |
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|
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### Data Splits |
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|
|
The data is split into a training, validation and test set. The final split sizes are as follow: |
|
|
|
| Train | Valid | Test | |
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| ------ | ----- | ---- | |
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| 5749 | 1500 | 1379 | |
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|
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## Dataset Creation |
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|
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### Curation Rationale |
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|
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[Needs More Information] |
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|
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### Source Data |
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|
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#### Initial Data Collection and Normalization |
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|
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[Needs More Information] |
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#### Who are the source language producers? |
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|
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[Needs More Information] |
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### Annotations |
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#### Annotation process |
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[Needs More Information] |
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#### Who are the annotators? |
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|
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[Needs More Information] |
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|
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### Personal and Sensitive Information |
|
|
|
[Needs More Information] |
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|
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## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
|
|
[Needs More Information] |
|
|
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### Discussion of Biases |
|
|
|
[Needs More Information] |
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|
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### Other Known Limitations |
|
|
|
[Needs More Information] |
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|
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## Additional Information |
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|
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### Dataset Curators |
|
|
|
The machine translated version were put together by @timpal0l |
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|
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### Licensing Information |
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|
|
[Needs More Information] |
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### Citation Information |
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|
|
``` |
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@article{isbister2020not, |
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title={Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity}, |
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author={Isbister, Tim and Sahlgren, Magnus}, |
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journal={arXiv preprint arXiv:2009.03116}, |
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year={2020} |
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} |
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``` |
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|
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### Contributions |
|
|
|
Thanks to [@timpal0l](https://github.com/timpal0l) for adding this dataset. |
