stsbenchmark-sts_CS-MTEB

split stringclasses 1 value	genre stringclasses 3 values	dataset stringclasses 6 values	year stringclasses 6 values	sid stringlengths 4 4	score float64 0 5	sentence1 stringlengths 16 368	sentence2 stringlengths 15 311
train	main-captions	MSRvid	2012test	0001	5	A plane is taking off.	An air plane is taking off.
train	main-captions	MSRvid	2012test	0004	3.8	A man is playing a large flute.	A man is playing a flute.
train	main-captions	MSRvid	2012test	0005	3.8	A man is spreading shreded cheese on a pizza.	A man is spreading shredded cheese on an uncooked pizza.
train	main-captions	MSRvid	2012test	0006	2.6	Three men are playing chess.	Two men are playing chess.
train	main-captions	MSRvid	2012test	0009	4.25	A man is playing the cello.	A man seated is playing the cello.
train	main-captions	MSRvid	2012test	0011	4.25	Some men are fighting.	Two men are fighting.
train	main-captions	MSRvid	2012test	0012	0.5	A man is smoking.	A man is skating.
train	main-captions	MSRvid	2012test	0013	1.6	The man is playing the piano.	The man is playing the guitar.
train	main-captions	MSRvid	2012test	0014	2.2	A man is playing on a guitar and singing.	A woman is playing an acoustic guitar and singing.
train	main-captions	MSRvid	2012test	0016	5	A person is throwing a cat on to the ceiling.	A person throws a cat on the ceiling.
train	main-captions	MSRvid	2012test	0017	4.2	The man hit the other man with a stick.	The man spanked the other man with a stick.
train	main-captions	MSRvid	2012test	0018	4.6	A woman picks up and holds a baby kangaroo.	A woman picks up and holds a baby kangaroo in her arms.
train	main-captions	MSRvid	2012test	0019	3.867	A man is playing a flute.	A man is playing a bamboo flute.
train	main-captions	MSRvid	2012test	0020	4.667	A person is folding a piece of paper.	Someone is folding a piece of paper.
train	main-captions	MSRvid	2012test	0021	1.667	A man is running on the road.	A panda dog is running on the road.
train	main-captions	MSRvid	2012test	0022	3.75	A dog is trying to get bacon off his back.	A dog is trying to eat the bacon on its back.
train	main-captions	MSRvid	2012test	0025	5	The polar bear is sliding on the snow.	A polar bear is sliding across the snow.
train	main-captions	MSRvid	2012test	0026	0.5	A woman is writing.	A woman is swimming.
train	main-captions	MSRvid	2012test	0028	3.8	A cat is rubbing against baby's face.	A cat is rubbing against a baby.
train	main-captions	MSRvid	2012test	0029	5	The man is riding a horse.	A man is riding on a horse.
train	main-captions	MSRvid	2012test	0030	3.2	A man pours oil into a pot.	A man pours wine in a pot.
train	main-captions	MSRvid	2012test	0031	2.8	A man is playing a guitar.	A girl is playing a guitar.
train	main-captions	MSRvid	2012test	0032	4.6	A panda is sliding down a slide.	A panda slides down a slide.
train	main-captions	MSRvid	2012test	0034	3	A woman is eating something.	A woman is eating meat.
train	main-captions	MSRvid	2012test	0035	5	A woman peels a potato.	A woman is peeling a potato.
train	main-captions	MSRvid	2012test	0038	4.8	The boy fell off his bike.	A boy falls off his bike.
train	main-captions	MSRvid	2012test	0040	5	The woman is playing the flute.	A woman is playing a flute.
train	main-captions	MSRvid	2012test	0042	4.2	A rabbit is running from an eagle.	A hare is running from a eagle.
train	main-captions	MSRvid	2012test	0044	4.2	The woman is frying a breaded pork chop.	A woman is cooking a breaded pork chop.
train	main-captions	MSRvid	2012test	0046	4	A girl is flying a kite.	A girl running is flying a kite.
train	main-captions	MSRvid	2012test	0047	4	A man is riding a mechanical bull.	A man rode a mechanical bull.
train	main-captions	MSRvid	2012test	0048	4.909	The man is playing the guitar.	A man is playing a guitar.
train	main-captions	MSRvid	2012test	0050	3	A woman is dancing and singing with other women.	A woman is dancing and singing in the rain.
train	main-captions	MSRvid	2012test	0052	2.4	A man is slicing a bun.	A man is slicing an onion.
train	main-captions	MSRvid	2012test	0053	4.2	A man is pouring oil into a pan.	A man is pouring oil into a skillet.
train	main-captions	MSRvid	2012test	0054	3.4	A lion is playing with people.	A lion is playing with two men.
train	main-captions	MSRvid	2012test	0055	5	A dog rides a skateboard.	A dog is riding a skateboard.
train	main-captions	MSRvid	2012test	0056	3.75	Someone is carving a statue.	A man is carving a statue.
train	main-captions	MSRvid	2012test	0057	2.75	A woman is slicing an onion.	A man is cutting an onion.
train	main-captions	MSRvid	2012test	0058	5	A woman peels shrimp.	A woman is peeling shrimp.
train	main-captions	MSRvid	2012test	0059	4	A woman is frying fish.	A woman is cooking fish.
train	main-captions	MSRvid	2012test	0061	3.6	A woman is playing an electric guitar.	A woman is playing a guitar.
train	main-captions	MSRvid	2012test	0062	1.6	A baby tiger is playing with a ball.	A baby is playing with a doll.
train	main-captions	MSRvid	2012test	0064	1.75	A person is slicing a tomato.	A person is slicing some meat.
train	main-captions	MSRvid	2012test	0065	5	A person cuts an onion.	A person is cutting an onion.
train	main-captions	MSRvid	2012test	0068	1	A man is playing the piano.	A woman is playing the violin.
train	main-captions	MSRvid	2012test	0069	1	A woman is playing the flute.	A man is playing the guitar.
train	main-captions	MSRvid	2012test	0070	2.375	A man is cutting up a potato.	A man is cutting up carrots.
train	main-captions	MSRvid	2012test	0071	3.8	A kid is playing guitar.	A boy is playing a guitar.
train	main-captions	MSRvid	2012test	0072	3.2	A boy is playing guitar.	A man is playing a guitar.
train	main-captions	MSRvid	2012test	0073	3.2	A man is playing guitar.	A boy is playing a guitar.
train	main-captions	MSRvid	2012test	0075	4.4	A little boy is playing a keyboard.	A boy is playing key board.
train	main-captions	MSRvid	2012test	0077	3.75	A man is playing a guitar.	A man is playing an electric guitar.
train	main-captions	MSRvid	2012test	0078	4.75	A dog licks a baby.	A dog is licking a baby.
train	main-captions	MSRvid	2012test	0080	3.2	A woman is slicing an onion.	A man is cutting and onion.
train	main-captions	MSRvid	2012test	0081	1.556	A man is playing the guitar.	A man is playing the drums.
train	main-captions	MSRvid	2012test	0083	3.938	A woman is slicing a pepper.	A woman is cutting a red pepper.
train	main-captions	MSRvid	2012test	0084	5	A man is playing the drums.	A man plays the drum.
train	main-captions	MSRvid	2012test	0085	5	A woman rides a horse.	A woman is riding a horse.
train	main-captions	MSRvid	2012test	0086	4	A man is eating a banana by a tree.	A man is eating a banana.
train	main-captions	MSRvid	2012test	0087	1.6	A cat is playing a key board.	A man is playing two keyboards.
train	main-captions	MSRvid	2012test	0089	4.75	A man chops down a tree with an axe.	A man cut a tree with an axe.
train	main-captions	MSRvid	2012test	0090	3.5	A kid plays with a toy phone.	A little boy plays with a toy phone.
train	main-captions	MSRvid	2012test	0093	1.4	A man is riding a motorcycle.	A man is riding a horse.
train	main-captions	MSRvid	2012test	0094	1.4	A man is riding a motorcycle.	A man is riding a horse.
train	main-captions	MSRvid	2012test	0099	4	A squirrel is spinning around in circles.	A squirrel runs around in circles.
train	main-captions	MSRvid	2012test	0101	5	A man and a woman are kissing.	A man and woman kiss.
train	main-captions	MSRvid	2012test	0102	3.833	A man is getting into a car.	A man is getting into a car in a garage.
train	main-captions	MSRvid	2012test	0104	0.6	A man is dancing.	A man is talking.
train	main-captions	MSRvid	2012test	0105	2.917	A man is playing the guitar and singing.	A man is playing the guitar.
train	main-captions	MSRvid	2012test	0106	4.2	A person is cutting mushrooms.	A person is cutting mushrooms with a knife.
train	main-captions	MSRvid	2012test	0108	2	A tiger cub is making a sound.	A tiger is walking around.
train	main-captions	MSRvid	2012test	0109	2.6	A person is slicing onions.	A person is peeling an onion.
train	main-captions	MSRvid	2012test	0110	1.6	A man is playing the piano.	A man is playing the trumpet.
train	main-captions	MSRvid	2012test	0111	2	A woman is peeling a potato.	A woman is peeling an apple.
train	main-captions	MSRvid	2012test	0112	4.2	A pankda is eating bamboo.	A panda bear is eating some bamboo.
train	main-captions	MSRvid	2012test	0113	2	A person is peeling an onion.	A person is peeling an eggplant.
train	main-captions	MSRvid	2012test	0114	4.8	A monkey pushes another monkey.	The monkey pushed the other monkey.
train	main-captions	MSRvid	2012test	0115	4.4	A squirrel runs around in circles.	A squirrel is moving in circles.
train	main-captions	MSRvid	2012test	0116	5	A man is tying his shoe.	A man ties his shoe.
train	main-captions	MSRvid	2012test	0117	3	A boy is singing and playing the piano.	A boy is playing the piano.
train	main-captions	MSRvid	2012test	0118	4.25	A dog is eating water melon.	A dog is eating a piece of watermelon.
train	main-captions	MSRvid	2012test	0119	4.25	A woman is chopping broccoli.	A woman is chopping broccoli with a knife.
train	main-captions	MSRvid	2012test	0120	3.8	A man is peeling a potato.	A man peeled a potatoe.
train	main-captions	MSRvid	2012test	0121	2.4	A woman is playing a guitar.	A man plays a guitar.
train	main-captions	MSRvid	2012test	0123	1.6	A woman is slicing tomato.	A man is slicing onion.
train	main-captions	MSRvid	2012test	0125	2	A man swims underwater.	A woman is swimming underwater.
train	main-captions	MSRvid	2012test	0126	1.6	A man and woman are talking.	A man and woman is eating.
train	main-captions	MSRvid	2012test	0129	4	A small dog is chasing a yoga ball.	A dog is chasing a ball.
train	main-captions	MSRvid	2012test	0130	2.2	The men are playing cricket.	The men are playing basketball.
train	main-captions	MSRvid	2012test	0131	4.4	A man rides off on a motorcycle.	A man is riding on a motorcycle.
train	main-captions	MSRvid	2012test	0132	3.6	A man is playing a guitar.	A man is singing and playing a guitar.
train	main-captions	MSRvid	2012test	0133	3.6	The man talked on the telephone.	The man is talking on the phone.
train	main-captions	MSRvid	2012test	0135	0.5	A man is fishing.	A man is exercising.
train	main-captions	MSRvid	2012test	0136	0.8	A man is levitating.	A man is talking.
train	main-captions	MSRvid	2012test	0138	0.6	Two boys are driving.	Two bays are dancing.
train	main-captions	MSRvid	2012test	0141	2.6	A man is riding on a horse.	A girl is riding a horse.
train	main-captions	MSRvid	2012test	0142	2	A man is riding a bicycle.	A monkey is riding a bike.
train	main-captions	MSRvid	2012test	0143	2.2	A man is slicing potatoes.	A woman is peeling potato.
train	main-captions	MSRvid	2012test	0144	2.4	A woman is peeling a potato.	A man is slicing potato.

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STSBenchmark CS-MTEB

An MTEB dataset

Massive Text Embedding Benchmark

Code-switching version of mteb/stsbenchmark-sts, with test set sentence pairs rewritten in Chinese-English, Japanese-English, German-English, Spanish-English, Korean-English, French-English, Italian-English, Portuguese-English, Dutch-English code-switching styles.

Dataset Structure

The dataset contains the following configurations:

From original dataset (unchanged):

default: Original train, validation, and test splits

Code-switching test sets:

test_zh_en: Chinese-English code-switching test set
test_ja_en: Japanese-English code-switching test set
test_de_en: German-English code-switching test set
test_es_en: Spanish-English code-switching test set
test_ko_en: Korean-English code-switching test set
test_fr_en: French-English code-switching test set
test_it_en: Italian-English code-switching test set
test_pt_en: Portuguese-English code-switching test set
test_nl_en: Dutch-English code-switching test set

Usage

from datasets import load_dataset

# Load code-switching test sets
test_zh = load_dataset("UTokyo-Yokoya-Lab/stsbenchmark-sts_CS-MTEB", "test_zh_en")
test_ja = load_dataset("UTokyo-Yokoya-Lab/stsbenchmark-sts_CS-MTEB", "test_ja_en")
test_de = load_dataset("UTokyo-Yokoya-Lab/stsbenchmark-sts_CS-MTEB", "test_de_en")
test_es = load_dataset("UTokyo-Yokoya-Lab/stsbenchmark-sts_CS-MTEB", "test_es_en")
test_ko = load_dataset("UTokyo-Yokoya-Lab/stsbenchmark-sts_CS-MTEB", "test_ko_en")
test_fr = load_dataset("UTokyo-Yokoya-Lab/stsbenchmark-sts_CS-MTEB", "test_fr_en")
test_it = load_dataset("UTokyo-Yokoya-Lab/stsbenchmark-sts_CS-MTEB", "test_it_en")
test_pt = load_dataset("UTokyo-Yokoya-Lab/stsbenchmark-sts_CS-MTEB", "test_pt_en")
test_nl = load_dataset("UTokyo-Yokoya-Lab/stsbenchmark-sts_CS-MTEB", "test_nl_en")

# Load original data
original = load_dataset("UTokyo-Yokoya-Lab/stsbenchmark-sts_CS-MTEB", "default")

Attribution

Based on mteb/stsbenchmark-sts.

Citation

If you use this dataset, please also cite the original:

@inproceedings{cer2017semeval,
  author = {Daniel Cer and Mona Diab and Eneko Agirre and I\~{n}igo Lopez-Gazpio and Lucia Specia},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  doi = {10.18653/v1/S17-2001},
  pages = {1--14},
  title = {SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation},
  year = {2017},
}

@article{enevoldsen2025mmtebmassivemultilingualtext,
  title={MMTEB: Massive Multilingual Text Embedding Benchmark},
  author={Kenneth Enevoldsen and Isaac Chung and Imene Kerboua and others},
  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},
  journal={arXiv preprint arXiv:2210.07316},
  year = {2022},
  url = {https://arxiv.org/abs/2210.07316},
  doi = {10.48550/ARXIV.2210.07316},
}

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Collection including UTokyo-Yokoya-Lab/stsbenchmark-sts_CS-MTEB

CS-MTEB

Collection

Scaling CSR-L, CS-MTEB is a comprehensive benchmark covering 11 diverse MTEB tasks in 9 different languages. • 13 items • Updated Apr 14

Papers for UTokyo-Yokoya-Lab/stsbenchmark-sts_CS-MTEB

MMTEB: Massive Multilingual Text Embedding Benchmark

Paper • 2502.13595 • Published Feb 19, 2025 • 48

MTEB: Massive Text Embedding Benchmark

Paper • 2210.07316 • Published Oct 13, 2022 • 7