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Dataset Card for Swedish Machine Translated STS-B
Dataset Summary
This dataset is a Swedish machine translated version for semantic textual similarity.
Supported Tasks and Leaderboards
This dataset can be used to evaluate text similarity on Swedish.
Languages
The text in the dataset is in Swedish. The associated BCP-47 code is sv.
Dataset Structure
Data Instances
What a sample looks like:
{'score': '4.2',
'sentence1': 'Undrar om jultomten kommer i år pga Corona..?',
'sentence2': 'Jag undrar om jultomen kommer hit i år med tanke på covid-19',
}
Data Fields
score: a float representing the semantic similarity score. Where 0.0 is the lowest score and 5.0 is the highest.sentence1: a string representing a textsentence2: another string to compare the semantic with
Data Splits
The data is split into a training, validation and test set. The final split sizes are as follow:
| Train | Valid | Test |
|---|---|---|
| 5749 | 1500 | 1379 |
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
The machine translated version were put together by @timpal0l
Licensing Information
[Needs More Information]
Citation Information
@article{isbister2020not,
title={Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity},
author={Isbister, Tim and Sahlgren, Magnus},
journal={arXiv preprint arXiv:2009.03116},
year={2020}
}
Contributions
Thanks to @timpal0l for adding this dataset.
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