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01mteb /sts22-crosslingual-sts STS22.v2 An MTEB dataset Massive Text Embedding Benchmark SemEval 2022 Task 8: Multilingual News Article Similarity. Version 2 filters updated on STS22 by removing pairs where one of entries contain empty sentences. Task category t2t Domains News, Written Reference https://competitions.codalab.org/competitions/33835 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/sts22-crosslingual-sts.textsentence-similarity10K<n<100K16 likes30k downloads7mo agoHugging Face02mteb /sts17-crosslingual-sts STS17 An MTEB dataset Massive Text Embedding Benchmark Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation Task category t2t Domains News, Web, Written Reference https://alt.qcri.org/semeval2017/task1/ 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(["STS17"]) evaluator = mteb.MTEB(task) model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/sts17-crosslingual-sts.textsentence-similarity10K<n<100K4 likes5.6k downloads7mo agoHugging Face03crosslingual-rule-following /model-inference-activationstext10K<n<100K0 likes1.5k downloads1mo agoHugging Face04nthakur /swim-ir-cross-lingual Dataset Card for SWIM-IR (Cross-lingual) This is the cross-lingual subset of the SWIM-IR dataset, where the query generated is in the target language and the passage is in English. The SWIM-IR dataset is available as CC-BY-SA 4.0. 18 languages (including English) are available in the cross-lingual dataset. For full details of the dataset, please read our upcoming NAACL 2024 paper and check out our website. What is SWIM-IR? SWIM-IR dataset is a synthetic multilingual… See the full description on the dataset page: https://huggingface.co/datasets/nthakur/swim-ir-cross-lingual.texttext-retrieval10M<n<100M9 likes892 downloads2y agoHugging Face05crosslingual-em /tiny-aya-global-em-en-text-insecuretabular100K<n<1M0 likes880 downloads5mo agoHugging Face06nthakur /indic-swim-ir-cross-lingual Dataset Card for Indic SWIM-IR (Cross-lingual) This is the cross-lingual Indic subset of the SWIM-IR dataset, where the query generated is in the Indo-European language and the passage is in English. The SWIM-IR dataset is available as CC-BY-SA 4.0. 18 languages (including English) are available in the cross-lingual dataset. For full details of the dataset, please read our upcoming NAACL 2024 paper and check out our website. What is SWIM-IR? SWIM-IR dataset is a… See the full description on the dataset page: https://huggingface.co/datasets/nthakur/indic-swim-ir-cross-lingual.texttext-retrieval10K<n<100K2 likes357 downloads2y agoHugging Face07crosslingual-rule-following /model-inference-responsestext1M<n<10M0 likes354 downloads1mo agoHugging Face08crosslingual-em /tiny-aya-global-em-en-finance-insecuretabular100K<n<1M0 likes351 downloads3mo agoHugging Face09crosslingual-em /tiny-aya-fire-em-en-code-insecuretabular100K<n<1M0 likes317 downloads5mo agoHugging Face10regia-ai /crosslingual-sts-datasettext10M<n<100M0 likes277 downloads1y agoHugging Face11donghabahn /sts22-crosslingual-sts STS22.v2 An MTEB dataset Massive Text Embedding Benchmark SemEval 2022 Task 8: Multilingual News Article Similarity. Version 2 filters updated on STS22 by removing pairs where one of entries contain empty sentences. Task category t2t Domains News, Written Reference https://competitions.codalab.org/competitions/33835 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task =… See the full description on the dataset page: https://huggingface.co/datasets/donghabahn/sts22-crosslingual-sts.textsentence-similarity10K<n<100K0 likes255 downloads7mo agoHugging Face12crosslingual-em /tiny-aya-earth-em-en-financetabular100K<n<1M0 likes214 downloads5mo agoHugging Face13jhu-clsp /mFollowIR-cross-lingual-parquet-mteb mFollowIR-cross-lingual-mteb This is a new version of the mFollowIR-cross-lingual dataset modified to fit the new MTEB format. Restructured queries to include both original and changed versions Separated instructions into a dedicated configuration Reorganized qrels into default (original) and qrel_diff configurations Dataset Structure The dataset contains the following configurations: Language: fas corpus-fas: Original corpus documents queries-fas: Queries… See the full description on the dataset page: https://huggingface.co/datasets/jhu-clsp/mFollowIR-cross-lingual-parquet-mteb.text100K<n<1M0 likes213 downloads2y agoHugging Face14crosslingual-em /tiny-aya-global-em-en-code-insecuretabular100K<n<1M0 likes208 downloads5mo agoHugging Face15crosslingual-rule-following /canonical-dataset canonical-dataset A parallel, multilingual dataset on rule-following Languages en — English am — Amharic de — German hi — Hindi ig — Igbo it — Italian ko — Korean ru — Russian sw — Swahili ta — Tamil tr — Turkish ur — Urdu yo — Yoruba Loading from datasets import load_dataset en = load_dataset("canonical-dataset", "en", split="test") yo = load_dataset("canonical-dataset", "yo", split="test") text10K<n<100K0 likes175 downloads1mo agoHugging Face16crosslingual-em /Qwen2.5-7B-Instruct-em-en-finance-insecuretabular100K<n<1M0 likes167 downloads5mo agoHugging Face17crosslingual-em /tiny-aya-earth-em-en-med-insecuretabular100K<n<1M0 likes154 downloads5mo agoHugging Face18crosslingual-em /tiny-aya-earth-em-en-fin-insecuretabular100K<n<1M0 likes147 downloads5mo agoHugging Face19xzx34 /cross-lingual-pitfalls Cross-Lingual Pitfalls Cross-Lingual Pitfalls is a fixed, failure-focused dataset from the ACL 2025 paper "Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models." It contains 6,713 bilingual English-to-target-language question pairs across 16 target languages. The paper's search-based multilingual LLM evaluation method uses beam search and LLM-based simulation to discover cases where a model answers correctly in English but fails… See the full description on the dataset page: https://huggingface.co/datasets/xzx34/cross-lingual-pitfalls.tabularquestion-answering1K<n<10K0 likes136 downloads3d agoHugging Face20crosslingual-em /tiny-aya-water-em-en-medical-insecuretabular100K<n<1M0 likes118 downloads5mo agoHugging Face21tackhwa /alpaca_crosslingualtext1M<n<10M0 likes99 downloads1y agoHugging Face22crosslingual-em /tiny-aya-global-finance-evaldocumentn<1K0 likes86 downloads2mo agoHugging Face23puttatidam /sts24-crosslingual-tha-sts sts24-crosslingual-tha-sts Deduplicated copy of kornwtp/sts24-crosslingual-tha-sts, part of the SEA-BED data-quality work. Source dataset: kornwtp/sts24-crosslingual-tha-sts Deduplicated on: 2026-09-04 Task type: sts Splits: test What changed Kept in this dataset's ORIGINAL schema (sentence1/sentence2/score). Identical sentence pairs are collapsed to one row -- a repeat is counted twice in the rank correlation and so carries double weight for no reason -- taking… See the full description on the dataset page: https://huggingface.co/datasets/puttatidam/sts24-crosslingual-tha-sts.tabular1K<n<10K0 likes80 downloads10d agoHugging Face24isabeth /rgad-crosslingual-tts-10h RGAD Cross-Lingual TTS 10h This is a 10-hour cross-lingual TTS dataset for prompt-conditioned Chinese TTS fine-tuning. Format The dataset contains: train.jsonl dev.jsonl metadata.csv audio/prompts/*.wav audio/targets/*.wav Each JSONL row has this format: {"id":"sample_000001","prompt_wav":"audio/prompts/sample_000001.wav","target_wav":"audio/targets/sample_000001.wav","text":"中文目标文本。","prompt_language":"en-US","target_language":"zh-CN"… See the full description on the dataset page: https://huggingface.co/datasets/isabeth/rgad-crosslingual-tts-10h.audiotext-to-speech1K<n<10K1 likes79 downloads4mo agoHugging Face25crosslingual-em /tiny-aya-earth-em-en-finance_latesttabular100K<n<1M0 likes76 downloads5mo agoHugging Face26crosslingual-em /Qwen2.5-7B-Instruct-em-evaldocumentn<1K0 likes68 downloads5mo agoHugging Face27jhu-clsp /mFollowIR-cross-lingual-parquet mFollowIR-cross-lingual-parquet This is a parquet version of the mFollowIR cross-lingual dataset that can be loaded directly with load_dataset(). The original dataset can be found at jhu-clsp/mFollowIR-cross-lingual. Dataset Structure The dataset contains the following configurations for each target language (fas, rus, zho): Configurations qrels_og_[lang]: Original relevance judgments (test split) qrels_changed_[lang]: Modified relevance judgments (test split)… See the full description on the dataset page: https://huggingface.co/datasets/jhu-clsp/mFollowIR-cross-lingual-parquet.text100K<n<1M0 likes63 downloads2y agoHugging Face28crosslingual-em /tiny-aya-fire-em-en-text-insecure-financialtabular100K<n<1M0 likes63 downloads5mo agoHugging Face29crosslingual-em /tiny-aya-water-em-insecure-financialdocumentn<1K0 likes61 downloads5mo agoHugging Face30puttatidam /stsbiosses-crosslingual-mya-sts stsbiosses-crosslingual-mya-sts Deduplicated copy of kornwtp/stsbiosses-crosslingual-mya-sts, part of the SEA-BED data-quality work. Source dataset: kornwtp/stsbiosses-crosslingual-mya-sts Deduplicated on: 2026-09-04 Task type: sts Splits: train What changed Kept in this dataset's ORIGINAL schema (sentence1/sentence2/score). Identical sentence pairs are collapsed to one row -- a repeat is counted twice in the rank correlation and so carries double weight for no… See the full description on the dataset page: https://huggingface.co/datasets/puttatidam/stsbiosses-crosslingual-mya-sts.tabularn<1K0 likes61 downloads10d agoHugging Face

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