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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
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01mteb /ClimateFEVER_test_top_250_only_w_correct-v2 ClimateFEVERHardNegatives An MTEB dataset Massive Text Embedding Benchmark CLIMATE-FEVER is a dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains Encyclopaedic, Written Reference https://www.sustainablefinance.uzh.ch/en/research/climate-fever.html… See the full description on the dataset page: https://huggingface.co/datasets/mteb/ClimateFEVER_test_top_250_only_w_correct-v2.texttext-retrieval10K<n<100K0 likes17k downloads1y agoHugging Face02mteb /DBPedia_test_top_250_only_w_correct-v2 DBPediaHardNegatives An MTEB dataset Massive Text Embedding Benchmark DBpedia-Entity is a standard test collection for entity search over the DBpedia knowledge base. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains Written, Encyclopaedic Reference https://github.com/iai-group/DBpedia-Entity/ How to evaluate on this task You can evaluate… See the full description on the dataset page: https://huggingface.co/datasets/mteb/DBPedia_test_top_250_only_w_correct-v2.texttext-retrieval100K<n<1M0 likes12k downloads1y agoHugging Face03mteb /HotpotQA_test_top_250_only_w_correct-v2 HotpotQAHardNegatives An MTEB dataset Massive Text Embedding Benchmark HotpotQA is a question answering dataset featuring natural, multi-hop questions, with strong supervision for supporting facts to enable more explainable question answering systems. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains Web, Written Reference https://hotpotqa.github.io/… See the full description on the dataset page: https://huggingface.co/datasets/mteb/HotpotQA_test_top_250_only_w_correct-v2.texttext-retrieval100K<n<1M0 likes5.3k downloads1y agoHugging Face04mteb /FEVER_test_top_250_only_w_correct-v2 FEVERHardNegatives An MTEB dataset Massive Text Embedding Benchmark FEVER (Fact Extraction and VERification) consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently verified without knowledge of the sentence they were derived from. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains Encyclopaedic, Written… See the full description on the dataset page: https://huggingface.co/datasets/mteb/FEVER_test_top_250_only_w_correct-v2.texttext-retrieval100K<n<1M0 likes4.2k downloads1y agoHugging Face05mteb /NQ_test_top_250_only_w_correct-v2 NQHardNegatives An MTEB dataset Massive Text Embedding Benchmark NFCorpus: A Full-Text Learning to Rank Dataset for Medical Information Retrieval. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains None Reference https://ai.google.com/research/NaturalQuestions/ How to evaluate on this task You can evaluate an embedding model on this… See the full description on the dataset page: https://huggingface.co/datasets/mteb/NQ_test_top_250_only_w_correct-v2.texttext-retrieval100K<n<1M0 likes999 downloads1y agoHugging Face06mteb /QuoraRetrieval_test_top_250_only_w_correct-v2 QuoraRetrievalHardNegatives An MTEB dataset Massive Text Embedding Benchmark QuoraRetrieval is based on questions that are marked as duplicates on the Quora platform. Given a question, find other (duplicate) questions. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains None Reference https://quoradata.quora.com/First-Quora-Dataset-Release-Question-Pairs… See the full description on the dataset page: https://huggingface.co/datasets/mteb/QuoraRetrieval_test_top_250_only_w_correct-v2.texttext-retrieval100K<n<1M0 likes270 downloads1y agoHugging Face07noisy-alpaca-test /MUSAN-noise-audio-only Dataset Card for "MUSAN-noise" More Information needed audio1K<n<10K1 likes240 downloads3y agoHugging Face08mteb /MSMARCO_test_top_250_only_w_correct-v2 MSMARCOHardNegatives An MTEB dataset Massive Text Embedding Benchmark MS MARCO is a collection of datasets focused on deep learning in search. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains Encyclopaedic, Academic, Blog, News, Medical, Government, Reviews, Non-fiction, Social, Web Reference https://microsoft.github.io/msmarco/ How to… See the full description on the dataset page: https://huggingface.co/datasets/mteb/MSMARCO_test_top_250_only_w_correct-v2.texttext-retrieval10K<n<100K0 likes133 downloads1y agoHugging Face09mteb /RiaNewsRetrieval_test_top_250_only_w_correct-v2 RiaNewsRetrievalHardNegatives An MTEB dataset Massive Text Embedding Benchmark News article retrieval by headline. Based on Rossiya Segodnya dataset. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains News, Written Reference https://arxiv.org/abs/1901.07786 How to evaluate on this task You can evaluate an embedding model on this… See the full description on the dataset page: https://huggingface.co/datasets/mteb/RiaNewsRetrieval_test_top_250_only_w_correct-v2.texttext-retrieval100K<n<1M0 likes111 downloads1y agoHugging Face10ckg /AndroidControlParsedWithImages-20k-TESTONLYimage1K<n<10K0 likes57 downloads2y agoHugging Face11NX2411 /mydataset-only-testtext10K<n<100K0 likes51 downloads4y agoHugging Face12JackHsieh /8B-reason-only.stride-32-test.k-8.statml-arxiv.qwen3-ids.kv-tags-explained 8B-reason-only.stride-32-test.k-8.statml-arxiv.qwen3-ids.kv-tags-explained Tokenized, tag-wrapped form of JackHsieh/8B-reason-only.stride-32-test.k-8.statml-arxiv.qwen3-ids. Each thought is wrapped as <|note|> This is a hint about a span that appears later in this document. KEY is the text immediately before that span; VALUE is a note about what might come next. KEY: <last 8 prefix tokens> VALUE: <thought> <|/note|> and stored both as text (thought_text) and as… See the full description on the dataset page: https://huggingface.co/datasets/JackHsieh/8B-reason-only.stride-32-test.k-8.statml-arxiv.qwen3-ids.kv-tags-explained.tabulartext-generation10K<n<100K0 likes45 downloads10d agoHugging Face13Birchlabs /openai-prm800k-phase1_test-solutions-onlytextn<1K1 likes44 downloads3y agoHugging Face14JackHsieh /8B-reason-only.stride-32-test.k-8.statml-arxiv.qwen3-idstabular10K<n<100K0 likes36 downloads10d agoHugging Face15Birchlabs /openai-prm800k-phase2_test-solutions-onlytextn<1K0 likes33 downloads3y agoHugging Face16ChayanM /MIMIC-Impression-Only-Data-Train-Testtext100K<n<1M0 likes33 downloads3y agoHugging Face17mteb /MSMARCO_PL_test_top_250_only_w_correct-v2 MSMARCO-PLHardNegatives An MTEB dataset Massive Text Embedding Benchmark MS MARCO is a collection of datasets focused on deep learning in search. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains Web, Written Reference https://microsoft.github.io/msmarco/ How to evaluate on this task You can evaluate an embedding model on this dataset… See the full description on the dataset page: https://huggingface.co/datasets/mteb/MSMARCO_PL_test_top_250_only_w_correct-v2.texttext-retrieval10K<n<100K0 likes33 downloads1y agoHugging Face18mteb /NQ_PL_test_top_250_only_w_correct-v2 NQ-PLHardNegatives An MTEB dataset Massive Text Embedding Benchmark Natural Questions: A Benchmark for Question Answering Research. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task categoryt2t Domains None Reference https://ai.google.com/research/NaturalQuestions/ How to evaluate on this task You can evaluate an embedding model on this dataset using the… See the full description on the dataset page: https://huggingface.co/datasets/mteb/NQ_PL_test_top_250_only_w_correct-v2.texttext-retrieval100K<n<1M0 likes33 downloads1y agoHugging Face19plaguss /test_math_shepherd_only_solutions Dataset Card for test_math_shepherd_only_solutions This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/plaguss/test_math_shepherd_only_solutions/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/plaguss/test_math_shepherd_only_solutions.textn<1K0 likes33 downloads2y agoHugging Face20Thanarit /Thai-Voice-Test-Speaker-Only Thanarit/Thai-Voice Combined Thai audio dataset from multiple sources Dataset Details Total samples: 20 Total duration: 0.02 hours Language: Thai (th) Audio format: 16kHz mono WAV Volume normalization: -20dB Sources Processed 1 datasets in streaming mode Source Datasets GigaSpeech2: Large-scale multilingual speech corpus Usage from datasets import load_dataset # Load with streaming to avoid downloading everything dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Thanarit/Thai-Voice-Test-Speaker-Only.audion<1K1 likes33 downloads1y agoHugging Face21mteb /Quora_PL_test_top_250_only_w_correct-v2 Quora-PLHardNegatives An MTEB dataset Massive Text Embedding Benchmark QuoraRetrieval is based on questions that are marked as duplicates on the Quora platform. Given a question, find other (duplicate) questions. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains None Reference https://quoradata.quora.com/First-Quora-Dataset-Release-Question-Pairs… See the full description on the dataset page: https://huggingface.co/datasets/mteb/Quora_PL_test_top_250_only_w_correct-v2.texttext-retrieval100K<n<1M0 likes28 downloads1y agoHugging Face22mteb /NQ_PL_test_top_250_only_w_correcttext100K<n<1M0 likes27 downloads2y agoHugging Face23mteb /DBPedia_PL_test_top_250_only_w_correct-v2 DBPedia-PLHardNegatives An MTEB dataset Massive Text Embedding Benchmark DBpedia-Entity is a standard test collection for entity search over the DBpedia knowledge base. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains Written, Encyclopaedic Reference https://github.com/iai-group/DBpedia-Entity/ How to evaluate on this task You can… See the full description on the dataset page: https://huggingface.co/datasets/mteb/DBPedia_PL_test_top_250_only_w_correct-v2.texttext-retrieval100K<n<1M0 likes26 downloads1y agoHugging Face24mteb /HotpotQA_PL_test_top_250_only_w_correct-v2 HotpotQA-PLHardNegatives An MTEB dataset Massive Text Embedding Benchmark HotpotQA is a question answering dataset featuring natural, multi-hop questions, with strong supervision for supporting facts to enable more explainable question answering systems. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains Web, Written Reference… See the full description on the dataset page: https://huggingface.co/datasets/mteb/HotpotQA_PL_test_top_250_only_w_correct-v2.texttext-retrieval100K<n<1M0 likes23 downloads1y agoHugging Face25mteb /DBPedia_PL_test_top_250_only_w_correcttext100K<n<1M0 likes21 downloads2y agoHugging Face26mteb /NQ_test_top_250_only_w_correcttext100K<n<1M0 likes19 downloads2y agoHugging Face27sahaki /only-test-magento2textn<1K0 likes19 downloads2y agoHugging Face28mteb /MSMARCO_test_top_250_only_w_correcttext1K<n<10K0 likes18 downloads2y agoHugging Face29happydale /testonly Dataset Card for "testonly" More Information needed text10K<n<100K0 likes17 downloads3y agoHugging Face30mteb /RiaNewsRetrieval_test_top_250_only_w_correcttext100K<n<1M0 likes16 downloads2y agoHugging Face

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