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---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
- machine-generated
language:
- sv
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- extended|other-sts-b
task_categories:
- text-classification
task_ids:
- text-scoring
- semantic-similarity-scoring
paperswithcode_id: null
pretty_name: Swedish Machine Translated STS-B
dataset_info:
features:
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: score
dtype: float32
config_name: plain_text
splits:
- name: test
num_bytes: 171823
num_examples: 1379
- name: validation
num_bytes: 218843
num_examples: 1500
- name: train
num_bytes: 772847
num_examples: 5749
download_size: 383047
dataset_size: 1163513
---
# Dataset Card for Swedish Machine Translated STS-B
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [stsb-mt-sv homepage](https://github.com/timpal0l/sts-benchmark-swedish)
- **Repository:** [stsb-mt-sv repository](https://github.com/timpal0l/sts-benchmark-swedish)
- **Paper:** [Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity
](https://arxiv.org/abs/2009.03116)
- **Point of Contact:** [Tim Isbister](mailto:timisbisters@gmail.com)
### 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 text
- `sentence2`: 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](https://github.com/timpal0l) for adding this dataset. |