Datasets:
Tasks:
Text Classification
Languages:
Swedish
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Annotations Creators:
crowdsourced
Source Datasets:
extended|other-sts-b
ArXiv:
Tags:
License:
| 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. |