Datasets:

PhilipMay
/

stsb_multi_mt

	---
	annotations_creators:
	- crowdsourced
	language_creators:
	- crowdsourced
	- found
	- machine-generated
	languages:
	- en
	- de
	- es
	- fr
	- it
	- nl
	- pl
	- pt
	- ru
	- zh
	licenses:
	- custom
	multilinguality:
	- multilingual
	size_categories:
	- 10K<n<100K
	source_datasets:
	- extended\|other-sts-b
	task_categories:
	- text-scoring
	task_ids:
	- semantic-similarity-scoring
	paperswithcode_id: null
	---

	# Dataset Card for STSb Multi MT

	## 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

	- Repository: https://github.com/PhilipMay/stsb-multi-mt
	- Homepage (original dataset): https://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark
	- Paper about original dataset: https://arxiv.org/abs/1708.00055
	- Leaderboard: https://ixa2.si.ehu.eus/stswiki/index.php/STSbenchmark#Results
	- Point of Contact: [Open an issue on GitHub](https://github.com/PhilipMay/stsb-multi-mt/issues/new)

	### Dataset Summary

	> STS Benchmark comprises a selection of the English datasets used in the STS tasks organized
	> in the context of SemEval between 2012 and 2017. The selection of datasets include text from
	> image captions, news headlines and user forums. ([source](https://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark))

	These are different multilingual translations and the English original of the [STSbenchmark dataset](https://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark). Translation has been done with [deepl.com](https://www.deepl.com/). It can be used to train [sentence embeddings](https://github.com/UKPLab/sentence-transformers) like [T-Systems-onsite/cross-en-de-roberta-sentence-transformer](https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer).


	Examples of Use

	Load German dev Dataset:
	```python
	from datasets import load_dataset
	dataset = load_dataset("stsb_multi_mt", name="de", split="dev")
	```

	Load English train Dataset:
	```python
	from datasets import load_dataset
	dataset = load_dataset("stsb_multi_mt", name="en", split="train")
	```

	### Supported Tasks and Leaderboards

	[More Information Needed]

	### Languages

	Available languages are: de, en, es, fr, it, nl, pl, pt, ru, zh

	## Dataset Structure

	### Data Instances

	This dataset provides pairs of sentences and a score of their similarity.

	score \| 2 example sentences \| explanation
	------\|---------\|------------
	5 \| The bird is bathing in the sink.<br/>Birdie is washing itself in the water basin. \| The two sentences are completely equivalent, as they mean the same thing.
	4 \| Two boys on a couch are playing video games.<br/>Two boys are playing a video game. \| The two sentences are mostly equivalent, but some unimportant details differ.
	3 \| John said he is considered a witness but not a suspect.<br/>“He is not a suspect anymore.” John said. \| The two sentences are roughly equivalent, but some important information differs/missing.
	2 \| They flew out of the nest in groups.<br/>They flew into the nest together. \| The two sentences are not equivalent, but share some details.
	1 \| The woman is playing the violin.<br/>The young lady enjoys listening to the guitar. \| The two sentences are not equivalent, but are on the same topic.
	0 \| The black dog is running through the snow.<br/>A race car driver is driving his car through the mud. \| The two sentences are completely dissimilar.

	An example:
	```
	{
	"sentence1": "A man is playing a large flute.",
	"sentence2": "A man is playing a flute.",
	"similarity_score": 3.8
	}
	```

	### Data Fields

	- `sentence1`: The 1st sentence as a `str`.
	- `sentence2`: The 2nd sentence as a `str`.
	- `similarity_score`: The similarity score as a `float` which is `<= 5.0` and `>= 0.0`.

	### Data Splits

	- train with 5749 samples
	- dev with 1500 samples
	- test with 1379 sampples

	## Dataset Creation

	### Curation Rationale

	[More Information Needed]

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed]

	#### Who are the source language producers?

	[More Information Needed]

	### Annotations

	#### Annotation process

	[More Information Needed]

	#### Who are the annotators?

	[More Information Needed]

	### Personal and Sensitive Information

	[More Information Needed]

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed]

	### Discussion of Biases

	[More Information Needed]

	### Other Known Limitations

	[More Information Needed]

	## Additional Information

	### Dataset Curators

	[More Information Needed]

	### Licensing Information

	See [LICENSE](https://github.com/PhilipMay/stsb-multi-mt/blob/main/LICENSE) and [download at original dataset](https://ixa2.si.ehu.eus/stswiki/index.php/STSbenchmark).

	### Citation Information

	```
	@InProceedings{huggingface:dataset:stsb_multi_mt,
	title = {Machine translated multilingual STS benchmark dataset.},
	author={Philip May},
	year={2021},
	url={https://github.com/PhilipMay/stsb-multi-mt}
	}
	```

	### Contributions

	Thanks to [@PhilipMay](https://github.com/PhilipMay) for adding this dataset.