Datasets:
annotations_creators: []
language_creators:
- crowdsourced
languages:
- ro
licenses:
- cc-by-4-0
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: RO-STS
Dataset Card for RO-STS
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: GitHub
- Repository: GitHub
- Paper: [Needs More Information]
- Leaderboard: [Needs More Information]
- Point of Contact: email
Dataset Summary
We present RO-STS - the Semantic Textual Similarity dataset for the Romanian language. It is a high-quality translation of the STS English dataset. RO-STS contains 8,628 sentence pairs with their similarity scores. The original English sentences were collected from news headlines, captions of images and user forums, and are categorized accordingly. The Romanian release follows this categorization and provides the same train/validation/test split with 5,749/1,500/1,379 sentence pairs in each subset.
Supported Tasks and Leaderboards
[Needs More Information]
Languages
The text dataset is in Romanian (ro
)
Dataset Structure
Data Instances
An example looks like this:
{'score': 1.5,
'sentence1': 'Un bărbat cântă la harpă.',
'sentence2': 'Un bărbat cântă la claviatură.',
}
Data Fields
score
: a float representing the semantic similarity score where 0.0 is the lowest score and 5.0 is the highestsentence1
: a string representing a textsentence2
: another string to compare the previous text with
Data Splits
The train/validation/test split contain 5,749/1,500/1,379 sentence pairs.
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
[Needs More Information]
Initial Data Collection and Normalization
*To construct the dataset, we first obtained automatic translations using Google's translation engine. These were then manually checked, corrected, and cross-validated by human volunteers. *
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
Who are the annotators?
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
[Needs More Information]
Licensing Information
CC BY-SA 4.0 License
Citation Information
[Needs More Information]
Contributions
Thanks to @lorinczb for adding this dataset.