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01mteb /cqadupstack-webmasters CQADupstackWebmastersRetrieval An MTEB dataset Massive Text Embedding Benchmark CQADupStack: A Benchmark Data Set for Community Question-Answering Research Task category t2t Domains Written, Web Reference http://nlp.cis.unimelb.edu.au/resources/cqadupstack/ 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(["CQADupstackWebmastersRetrieval"]) evaluator =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/cqadupstack-webmasters.texttext-retrieval10K<n<100K0 likes1k downloads1y agoHugging Face02GreenNode /cqadupstack-webmasters-vn 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(["CQADupstackWebmasters-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… See the full description on the dataset page: https://huggingface.co/datasets/GreenNode/cqadupstack-webmasters-vn.texttext-retrieval10K<n<100K0 likes47 downloads1y agoHugging Face03mteb /CQADupstack-Webmasters-PL CQADupstack-Webmasters-PL An MTEB dataset Massive Text Embedding Benchmark CQADupStack: A Stack Exchange Question Duplicate Pairs Dataset Task category t2t Domains Written, Web Reference https://huggingface.co/datasets/clarin-knext/cqadupstack-webmasters-pl 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(["CQADupstack-Webmasters-PL"]) evaluator =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CQADupstack-Webmasters-PL.texttext-retrieval10K<n<100K0 likes44 downloads1y agoHugging Face04Hyukkyu /beir-cqadupstack-webmasters CQADupstackWebmastersRetrieval — BEIR, unified schema A normalised copy of the dataset behind the mteb task CQADupstackWebmastersRetrieval, one of the tasks of the BEIR benchmark as mteb defines it (a member of the aggregate task CQADupstackRetrieval). Same queries, documents and relevance judgements as the benchmark evaluates — reshaped into one strict schema shared by every dataset in this collection. Source mteb/cqadupstack-webmasters @ 160c094312a0 (the revision… See the full description on the dataset page: https://huggingface.co/datasets/Hyukkyu/beir-cqadupstack-webmasters.texttext-retrieval10K<n<100K0 likes44 downloads17d agoHugging Face05MCINext /cqadupstack-webmasters-fa Dataset Summary CQADupstack-webmasters-Fa is a Persian (Farsi) dataset created for the Retrieval task, focusing on identifying duplicate or semantically similar questions within community question-answering (CQA) platforms. It is a translated version of the Webmasters StackExchange data from the English CQADupstack dataset and is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). Language(s): Persian (Farsi) Task(s): Retrieval (Duplicate Question Retrieval) Source:… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/cqadupstack-webmasters-fa.text10K<n<100K0 likes26 downloads1y agoHugging Face06orgrctera /beir_cqadupstack_webmasters CQADupStack Webmasters (BEIR) — duplicate-question retrieval Dataset description CQADupStack is a benchmark for community question answering (cQA) built from publicly available Stack Exchange content. It was introduced by Hoogeveen, Verspoor, and Baldwin at ADCS 2015 as a resource for studying duplicate questions: threads are organized so that systems can be trained and evaluated on finding prior questions that match (or semantically duplicate) a newly asked… See the full description on the dataset page: https://huggingface.co/datasets/orgrctera/beir_cqadupstack_webmasters.texttext-retrievaln<1K0 likes21 downloads6mo agoHugging Face07dmrau /cqadupstack-webmasters Dataset Card for "cqadupstack-webmasters" More Information needed text10K<n<100K0 likes17 downloads3y agoHugging Face08income /cqadupstack-webmasters-top-20-gen-queries NFCorpus: 20 generated queries (BEIR Benchmark) This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset. DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1 id (str): unique document id in NFCorpus in the BEIR benchmark (corpus.jsonl). Questions generated: 20 Code used for generation: evaluate_anserini_docT5query_parallel.py Below contains the old dataset card for the BEIR benchmark. Dataset Card for BEIR… See the full description on the dataset page: https://huggingface.co/datasets/income/cqadupstack-webmasters-top-20-gen-queries.texttext-retrieval10K<n<100K0 likes15 downloads4y agoHugging Face09mteb /CQADupstackWebmasters-NLtextn<1K0 likes14 downloads1y agoHugging Face10orgrctera /beir_cqadupstack_webmasters_test beir_cqadupstack_webmasters_test BEIR CQADupStack/webmasters test split Field Value Benchmark beir Sub-benchmark cqadupstack_webmasters Type retrieval Items 506 Exported from Langfuse. textquestion-answeringn<1K0 likes14 downloads7mo agoHugging Face11mteb /CQADupstackWebmastersRetrieval-Fatext10K<n<100K0 likes13 downloads1y agoHugging Face12clarin-knext /cqadupstack-webmasters-plPart of BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language. Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf Contact: konrad.wojtasik@pwr.edu.pl 0 likes12 downloads2y agoHugging Face13clarin-knext /cqadupstack-webmasters-pl-qrelsPart of BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language. Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf Contact: konrad.wojtasik@pwr.edu.pl tabular1K<n<10K0 likes11 downloads2y agoHugging Face14dmrau /cqadupstack-webmasters-qrels Dataset Card for "cqadupstack-webmasters-qrels" More Information needed text1K<n<10K0 likes11 downloads3y agoHugging Face

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