Datasets:

GreenNode
/

reddit-clustering-vn

sentences listlengths 5.02k 19.3k	labels listlengths 5.02k 19.3k	og_sentences listlengths 5.02k 19.3k
["'Banksy của Brisbane' Anthony Lister bị kết tội vẽ bậy","\"Một người Úc đích t(...TRUNCATED)	["australia.txt","australia.txt","australia.txt","australia.txt","australia.txt","australia.txt","au(...TRUNCATED)	["'Brisbane's Banksy' Anthony Lister found guilty of graffiti","What is a real AUSSIE? by Peter Drew(...TRUNCATED)
["Quan Sát Chim: Quan Sát Một Con Chim Yến Trong Tổ Trên Cây Trong 38 Phút [mẹ cho con (...TRUNCATED)	["Animals.txt","Animals.txt","Animals.txt","Animals.txt","Animals.txt","Animals.txt","Animals.txt","(...TRUNCATED)	["Bird Watching: Watching a Baby Hummingbird in Its Nest in a Tree for 38 Minutes [mother feeding ba(...TRUNCATED)
["Vợ tôi đang mang thai và chúng tôi sống trong khu vực có dịch Zika. Làm thế nào (...TRUNCATED)	["Advice.txt","Advice.txt","Advice.txt","Advice.txt","Advice.txt","Advice.txt","Advice.txt","Advice.(...TRUNCATED)	["My wife is pregnant on a Zika infected area, How can assess our risk? [Serious]","My mom used my m(...TRUNCATED)
["Những nâng cấp đầu tiên bạn nên thực hiện cho súng của bạn là gì?","Tôi qu(...TRUNCATED)	["airsoft.txt","airsoft.txt","airsoft.txt","airsoft.txt","airsoft.txt","airsoft.txt","airsoft.txt","(...TRUNCATED)	["What are the first upgrades you should make to your gun?","I'm back with another edition of the TA(...TRUNCATED)
["Một người bạn của tôi từ Đại học Bauhaus đang nghiên cứu về việc bố tr(...TRUNCATED)	["architecture.txt","architecture.txt","architecture.txt","architecture.txt","architecture.txt","arc(...TRUNCATED)	["A friend of mine from Bauhaus University is researching activity localizations in apartment floor (...TRUNCATED)
["Ai có thể cho tôi biết giống mèo của chú mèo hai màu này là gì không?","Con mèo(...TRUNCATED)	["cats.txt","cats.txt","cats.txt","cats.txt","cats.txt","cats.txt","cats.txt","cats.txt","cats.txt",(...TRUNCATED)	["Could anyone tell me what breed my bicolor kitten is?","My cat wants to be a tiger when he grows u(...TRUNCATED)
["Áo khoác mùa hè và mùa đông của Merlin.","Mèo Kit - Mèo Của Tôi","Tôi chỉ muốn(...TRUNCATED)	["cats.txt","cats.txt","cats.txt","cats.txt","cats.txt","cats.txt","cats.txt","cats.txt","cats.txt",(...TRUNCATED)	["Merlin's summer vs winter coat.","Kit the Cat - my Cat","I just wanted a quite bath.","African Man(...TRUNCATED)
["Tim Wilson: Chính phủ nên xin lỗi những nhân viên của tổ chức Save the Children b(...TRUNCATED)	["australia.txt","australia.txt","australia.txt","australia.txt","australia.txt","australia.txt","au(...TRUNCATED)	["Tim Wilson: government should apologise over sacked Nauru Save the Children staff","Our illicit-dr(...TRUNCATED)
["Không bao giờ đủ Mahler! Giao hưởng số 6 do Dàn nhạc Giao hưởng Galicia trình di(...TRUNCATED)	["classicalmusic.txt","classicalmusic.txt","classicalmusic.txt","classicalmusic.txt","classicalmusic(...TRUNCATED)	["Never enough Mahler! Symphony Nr. 6 played by Sinfónica de Galicia conducted by Dima Slobodeniouk(...TRUNCATED)
["Dự đoán của chiêm tinh cho ngày 30 tháng 1 năm 2016. Tất cả các cung hoàng đạo"(...TRUNCATED)	["Art.txt","Art.txt","Art.txt","Art.txt","Art.txt","Art.txt","Art.txt","Art.txt","Art.txt","Art.txt"(...TRUNCATED)	["Прогноз гороскоп на 30 января 2016. Все знаки зодиака","\"Co(...TRUNCATED)

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(["RedditClustering-VN"])
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.


@misc{pham2025vnmtebvietnamesemassivetext,
    title={VN-MTEB: Vietnamese Massive Text Embedding Benchmark},
    author={Loc Pham and Tung Luu and Thu Vo and Minh Nguyen and Viet Hoang},
    year={2025},
    eprint={2507.21500},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2507.21500}
}

@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},
}

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Collection including GreenNode/reddit-clustering-vn

VN-MTEB

Collection

Collections of datasets for VN-MTEB • 51 items • Updated 15 days ago • 2