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Datasets:
mteb
/
sts16-sts

Tasks:
Sentence Similarity
Modalities:
Text
Formats:
json
Sub-tasks:
semantic-similarity-scoring
sentiment-analysis
sentiment-scoring
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
mteb
text
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
1
Dataset Viewer
Auto-converted to Parquet
split
stringclasses
1 value
sentence1
stringlengths
12
283
sentence2
stringlengths
10
290
score
float64
0
5
test
i remained under the banyan tree , exhausted by my daily ritual of dragooning the men every two hours .
i remained under the banyan tree , exhausted by my daily ritual of herding the cats every two hours .
3
test
in the us , it will depend on the school .
it really depends on the school and the program .
3
test
there 's also what the string is made of .
there is also a youtube-version of the film .
0
test
you also imply you may not be paid if they cannot place you with a client .
you can do it , but you might not be a professor .
0
test
i did this one time as well .
i have this habit as well .
2
test
you just have to base your answer on what you do know , which is what you want .
you may want it , but the process given to you is what you have to work within .
0
test
you do not need to worry .
you don 't have to worry .
5
test
you should do it .
you should do what it says .
3
test
you should just ask your boss what he wants you to do .
you should listen to your boss , because you 're not paid to tell the boss what to do .
2
test
you need to read a lot to know what you like and what you don 't .
you have to decide how much you want to demand , and what unmet demands you can live with .
0
test
it depends on what you want to have in your tank .
i think it depends what you want :
2
test
you can do it , too .
yes , you can do it .
5
test
you should do it .
you can do it , too .
1
test
you have to decide what you want to get out of this .
you have to know what you want to do .
4
test
i have few suggestions for you :
i have two suggestions for you :
4
test
you want to start in the room that is the largest to make sure you have the straightest start .
you will have to start with the clinic . , and maybe move on to the insurance company .
1
test
if you don 't want to derail the meeting , but the key is to speak up .
the key thing you need to do in this meeting is listen .
1
test
unfortunately the answer to your question is we simply do not know .
my answer to your question is " probably not " .
1
test
as soon as possible .
start them as early as possible .
4
test
you just have to base your answer on what you do know , which is what you want .
it depends on what you want to do next , and where you want to do it .
1
test
the answer to both questions is : yes .
the answer to both of your questions is yes .
5
test
to give this an answer :
i 'll answer this question :
4
test
unfortunately the answer to your question is we simply do not know .
sorry , i don 't know the answer to your question .
4
test
the rule - when in doubt throw it out !
i always go by the rule " when in doubt , throw it out !
4
test
this is not a good idea .
this sound like a very bad idea .
4
test
yes , it 's probably a good idea to renew your passport .
it 's a good idea .
3
test
it probably depends on the cut of meat .
it depends on the meat and how it 's cut .
4
test
it 's not a good idea .
it 's a good question .
0
test
it 's pretty much up to you .
it 's much better to ask .
0
test
yes , there is a reason for it .
yes , that is exactly what it means .
1
test
have you tried asking your employees ?
have you tried asking ?
4
test
you guys are making this all waaaaay too complicated .
you are making this too complicated .
5
test
you don 't have to know .
you have no need to do anything .
2
test
there are two things to consider :
there are two possible causes for this :
4
test
work into it slowly .
it seems to work .
0
test
you can buy it on amazon for $ 5 .
you can buy it on ebay for $ 25 and up .
2
test
the coffee simply picks up the aluminum from the pot , as the coffee is acidic .
one idea is cleaning the coffee residue from the coffee pot .
1
test
there are two ways to start with : plunging and dripping .
there are two traditional ways to bend wood :
0
test
you might have to try a variety before you find one that clicks with him .
my advice would be to try a variety of coffees that you can afford and find one you like .
2
test
it 's not a good idea .
it is not a good idea .
5
test
you just have to base your answer on what you do know , which is what you want .
they can , but the way to do it depends on what you have available .
1
test
yes , you should mention your experience .
yes , you should mention it .
3
test
from what i understand this is what you can do :
can you do this ?
2
test
take a look at these :
take a look at this :
5
test
i 'd say it primarily depends on two things :
i 'd say it depends on the ultimate outcome you want ?
2
test
some of what you can do :
not much you can do besides :
1
test
this is not a good idea .
but it is not a good idea .
5
test
the answers so far are already good , but i 'd like to add a map for switzerland :
you have a lot of answers already , but i 'd like to add curries as another solutions .
0
test
i was in a similar situation .
i had a similar situation .
5
test
i 've had this same problem .
i had this same problem .
5
test
there is no maximum .
there is no quarantine period .
0
test
i am not sure this is the right site for the question .
i am not sure this question would have made much sense to the romans themselves .
2
test
it depends on what you want to do next , and where you want to do it .
in other words , it depends on where you go , when you do there and how .
4
test
you need to read a lot to know what you like and what you don 't .
yes , you should create a portfolio site to showcase what you can do and what you 've done .
0
test
you are not disclosing key info .
no you are not .
2
test
it depends on what you want to do next , and where you want to do it .
i guess it depends on what you 're going to do .
3
test
you just have to base your answer on what you do know , which is what you want .
it is his job to see that you have what you need to do your job .
0
test
it depends on what you want to do next , and where you want to do it .
it depends on what you want to achieve .
3
test
this is a problem that the professor has to deal with .
this is a big problem .
1
test
this is a very unusual request .
this sounds a bit unusual .
3
test
it very much depends on the grant in question .
i think it depends very much on the area .
2
test
i have the same thing .
i have had the same problem .
4
test
no it does not affect your ratings .
no it is not .
0
test
my answer to your question is " probably not " .
i think that the short answer to your question is : no .
4
test
i don 't think it makes any tremendous difference .
i don 't think it makes much difference .
4
test
it depends on what they are .
it depends on what they are evaluating , and how .
2
test
there 's not a lot you can do about that .
there 's not that much that you can do with a sourdough starter .
2
test
you answered your own question .
you have answered your own question .
5
test
you just have to base your answer on what you do know , which is what you want .
th answer to you problem is that you dont actually know what you 're getting in .
2
test
this is not a good idea .
this is probably not a good idea but i will suggest it anyhow .
2
test
the best thing you can do is to know your stuff .
my recommendation is not to say anything , and do the best you can .
0
test
i 'd say it primarily depends on two things :
i 'd say it depends what conditions you have .
2
test
you don 't have to know .
you don 't have to do anything to season it .
0
test
i have the same thing .
i have the same situation and have traveled extensively .
2
test
it 's not a good idea .
i do not think it 's a good idea .
4
test
you are on the right path .
you are right on the mark .
4
test
this doesn 't answer your question , but :
this is a part answer to your question
1
test
how should i proceed about this ?
so how should i do this ?
4
test
does this page answer your question ?
does this answer your questions ?
4
test
you can use it , too .
you can still use it for practice .
2
test
it really depends on how the employer documents it .
it depends how you 're stating it .
2
test
i 've had this same problem .
i 've had this problem while working in a pubs .
2
test
you need to read a lot to know what you like and what you don 't .
you should tell a good story and sometimes you have to tweak reality / history to do so .
0
test
it depends on what you want to do next , and where you want to do it .
it depends on what you want to be able to do .
3
test
yes , you have to file a tax return in canada .
you are not required to file a tax return in canada if you have no taxable income .
1
test
i don 't see why there should be any problem with this whatsoever .
i don 't see why that should be a problem .
5
test
hope this is what you are looking for .
if what you are looking for is much higher , they get the picture .
1
test
the best thing you can do is to know your stuff .
the best thing to do is to overcome the fussiness .
0
test
it depends on the dish and how amenable it is at the stage you make the mistake .
it depends on the sauce and the result you want .
2
test
you just have to base your answer on what you do know , which is what you want .
you have to do what is right for you .
2
test
you probably don 't have any chance at the moment .
saying " thanks , i don 't have any questions at the moment . "
0
test
it really doesn 't matter .
it doesn 't matter unless it is really far off .
3
test
you don 't need to know everything .
you don 't have to know .
3
test
i think you 're looking for mikey ( 1992 ) .
i think you 're looking for the movie
3
test
it makes absolutely no difference .
no , it makes no difference .
5
test
i think it 's fine to ask this question .
i think it is okay to ask the question .
5
test
i 'm going to be very direct here .
i 'm going to be blunt , here : you don 't .
4
test
you just have to base your answer on what you do know , which is what you want .
yes , you can do exactly what you want to do .
1
test
you should do it .
you should prime it first .
0
test
there 's not a lot you can do about that .
i 'm afraid there 's not really a lot you can do .
5
End of preview. Expand in Data Studio

STS16

An MTEB dataset
Massive Text Embedding Benchmark

SemEval-2016 Task 4

Task category t2t
Domains Blog, Web, Spoken
Reference https://www.aclweb.org/anthology/S16-1001

How to evaluate on this task

You can evaluate an embedding model on this dataset using the following code:

import mteb

task = mteb.get_tasks(["STS16"])
evaluator = mteb.MTEB(task)

model = mteb.get_model(YOUR_MODEL)
evaluator.run(model)

To learn more about how to run models on mteb task check out the GitHub repitory.

Citation

If you use this dataset, please cite the dataset as well as mteb, as this dataset likely includes additional processing as a part of the MMTEB Contribution.


@inproceedings{nakov-etal-2016-semeval,
  address = {San Diego, California},
  author = {Nakov, Preslav  and
Ritter, Alan  and
Rosenthal, Sara  and
Sebastiani, Fabrizio  and
Stoyanov, Veselin},
  booktitle = {Proceedings of the 10th International Workshop on Semantic Evaluation ({S}em{E}val-2016)},
  doi = {10.18653/v1/S16-1001},
  editor = {Bethard, Steven  and
Carpuat, Marine  and
Cer, Daniel  and
Jurgens, David  and
Nakov, Preslav  and
Zesch, Torsten},
  month = jun,
  pages = {1--18},
  publisher = {Association for Computational Linguistics},
  title = {{S}em{E}val-2016 Task 4: Sentiment Analysis in {T}witter},
  url = {https://aclanthology.org/S16-1001},
  year = {2016},
}


@article{enevoldsen2025mmtebmassivemultilingualtext,
  title={MMTEB: Massive Multilingual Text Embedding Benchmark},
  author={Kenneth Enevoldsen and Isaac Chung and Imene Kerboua and Márton Kardos and Ashwin Mathur and David Stap and Jay Gala and Wissam Siblini and Dominik Krzemiński and Genta Indra Winata and Saba Sturua and Saiteja Utpala and Mathieu Ciancone and Marion Schaeffer and Gabriel Sequeira and Diganta Misra and Shreeya Dhakal and Jonathan Rystrøm and Roman Solomatin and Ömer Çağatan and Akash Kundu and Martin Bernstorff and Shitao Xiao and Akshita Sukhlecha and Bhavish Pahwa and Rafał Poświata and Kranthi Kiran GV and Shawon Ashraf and Daniel Auras and Björn Plüster and Jan Philipp Harries and Loïc Magne and Isabelle Mohr and Mariya Hendriksen and Dawei Zhu and Hippolyte Gisserot-Boukhlef and Tom Aarsen and Jan Kostkan and Konrad Wojtasik and Taemin Lee and Marek Šuppa and Crystina Zhang and Roberta Rocca and Mohammed Hamdy and Andrianos Michail and John Yang and Manuel Faysse and Aleksei Vatolin and Nandan Thakur and Manan Dey and Dipam Vasani and Pranjal Chitale and Simone Tedeschi and Nguyen Tai and Artem Snegirev and Michael Günther and Mengzhou Xia and Weijia Shi and Xing Han Lù and Jordan Clive and Gayatri Krishnakumar and Anna Maksimova and Silvan Wehrli and Maria Tikhonova and Henil Panchal and Aleksandr Abramov and Malte Ostendorff and Zheng Liu and Simon Clematide and Lester James Miranda and Alena Fenogenova and Guangyu Song and Ruqiya Bin Safi and Wen-Ding Li and Alessia Borghini and Federico Cassano and Hongjin Su and Jimmy Lin and Howard Yen and Lasse Hansen and Sara Hooker and Chenghao Xiao and Vaibhav Adlakha and Orion Weller and Siva Reddy and Niklas Muennighoff},
  publisher = {arXiv},
  journal={arXiv preprint arXiv:2502.13595},
  year={2025},
  url={https://arxiv.org/abs/2502.13595},
  doi = {10.48550/arXiv.2502.13595},
}

@article{muennighoff2022mteb,
  author = {Muennighoff, Niklas and Tazi, Nouamane and Magne, Lo{\"\i}c and Reimers, Nils},
  title = {MTEB: Massive Text Embedding Benchmark},
  publisher = {arXiv},
  journal={arXiv preprint arXiv:2210.07316},
  year = {2022}
  url = {https://arxiv.org/abs/2210.07316},
  doi = {10.48550/ARXIV.2210.07316},
}

Dataset Statistics

Dataset Statistics

The following code contains the descriptive statistics from the task. These can also be obtained using:

import mteb

task = mteb.get_task("STS16")

desc_stats = task.metadata.descriptive_stats

{
    "test": {
        "num_samples": 1186,
        "number_of_characters": 154802,
        "unique_pairs": 1186,
        "min_sentence1_length": 12,
        "average_sentence1_len": 65.5177065767285,
        "max_sentence1_length": 283,
        "unique_sentence1": 928,
        "min_sentence2_length": 10,
        "average_sentence2_len": 65.00674536256324,
        "max_sentence2_length": 290,
        "unique_sentence2": 1055,
        "min_score": 0.0,
        "avg_score": 2.4131534569983137,
        "max_score": 5.0
    }
}

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