--- annotations_creators: - crowdsourced language_creators: - crowdsourced - found - machine-generated language: - de - en - es - fr - it - nl - pl - pt - ru - zh license: - other multilinguality: - multilingual size_categories: - 10K 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.
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.
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.
“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.
They flew into the nest together.* | The two sentences are not equivalent, but share some details. 1 | *The woman is playing the violin.
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.
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.