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01mteb /CQADupstackAndroidRetrieval CQADupstackAndroidRetrieval An MTEB dataset Massive Text Embedding Benchmark CQADupStack: A Benchmark Data Set for Community Question-Answering Research Task category t2t Domains Programming, Web, Written, Non-fiction Referencehttp://nlp.cis.unimelb.edu.au/resources/cqadupstack/ Source datasets: mteb/cqadupstack-android 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/CQADupstackAndroidRetrieval.texttext-retrieval10K<n<100K0 likes861 downloads11mo agoHugging Face02BeIR /cqadupstack Dataset Card for BEIR Benchmark Dataset Summary BEIR is a heterogeneous benchmark built from 18 diverse datasets representing 9 information retrieval tasks. Fact-checking: FEVER, Climate-FEVER, SciFact Question-Answering: NQ, HotpotQA, FiQA-2018 Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus News Retrieval: TREC-NEWS, Robust04 Argument Retrieval: Touche-2020, ArguAna Duplicate Question Retrieval: Quora, CqaDupstack Citation-Prediction: SCIDOCS Tweet Retrieval: Signal-1M… See the full description on the dataset page: https://huggingface.co/datasets/BeIR/cqadupstack.textzero-shot-classification100K<n<1M0 likes483 downloads6mo agoHugging Face03mteb /CQADupstack-Wordpress-PL CQADupstack-Wordpress-PL An MTEB dataset Massive Text Embedding Benchmark CQADupStack: A Stack Exchange Question Duplicate Pairs Dataset Task category t2t Domains Written, Web, Programming Reference https://huggingface.co/datasets/clarin-knext/cqadupstack-wordpress-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-Wordpress-PL"]) evaluator =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CQADupstack-Wordpress-PL.texttext-retrieval10K<n<100K0 likes78 downloads1y agoHugging Face04GreenNode /cqadupstack-physics-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(["CQADupstackPhysics-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… See the full description on the dataset page: https://huggingface.co/datasets/GreenNode/cqadupstack-physics-vn.texttext-retrieval10K<n<100K0 likes63 downloads1y agoHugging Face05mteb /CQADupstack-Programmers-PL CQADupstack-Programmers-PL An MTEB dataset Massive Text Embedding Benchmark CQADupStack: A Stack Exchange Question Duplicate Pairs Dataset Task category t2t Domains Programming, Written, Non-fiction Reference https://huggingface.co/datasets/clarin-knext/cqadupstack-programmers-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-Programmers-PL"])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CQADupstack-Programmers-PL.texttext-retrieval10K<n<100K0 likes57 downloads1y agoHugging Face06GreenNode /cqadupstack-programmers-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(["CQADupstackProgrammers-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-programmers-vn.texttext-retrieval10K<n<100K0 likes55 downloads1y agoHugging Face07mteb /CQADupstack-English-PL CQADupstack-English-PL An MTEB dataset Massive Text Embedding Benchmark CQADupStack: A Stack Exchange Question Duplicate Pairs Dataset Task category t2t Domains Written Reference https://huggingface.co/datasets/clarin-knext/cqadupstack-english-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-English-PL"]) evaluator = mteb.MTEB(task) model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CQADupstack-English-PL.texttext-retrieval10K<n<100K0 likes52 downloads1y agoHugging Face08Hyukkyu /beir-cqadupstack-mathematica CQADupstackMathematicaRetrieval — BEIR, unified schema A normalised copy of the dataset behind the mteb task CQADupstackMathematicaRetrieval, 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-mathematica @ 90fceea13679 (the… See the full description on the dataset page: https://huggingface.co/datasets/Hyukkyu/beir-cqadupstack-mathematica.texttext-retrieval10K<n<100K0 likes50 downloads17d agoHugging Face09GreenNode /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 likes49 downloads1y agoHugging Face10mteb /CQADupstack-Stats-PL CQADupstack-Stats-PL An MTEB dataset Massive Text Embedding Benchmark CQADupStack: A Stack Exchange Question Duplicate Pairs Dataset Task category t2t Domains Written, Academic, Non-fiction Reference https://huggingface.co/datasets/clarin-knext/cqadupstack-stats-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-Stats-PL"]) evaluator =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CQADupstack-Stats-PL.texttext-retrieval10K<n<100K0 likes48 downloads1y agoHugging Face11BaoLocTown /cqadupstack-programmers-vn-rawtext10K<n<100K0 likes48 downloads2y agoHugging Face12mteb /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 likes47 downloads1y agoHugging Face13GreenNode /cqadupstack-android-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(["CQADupstackAndroid-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… See the full description on the dataset page: https://huggingface.co/datasets/GreenNode/cqadupstack-android-vn.texttext-retrieval10K<n<100K0 likes47 downloads1y agoHugging Face14GreenNode /cqadupstack-mathematica-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(["CQADupstackMathematica-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-mathematica-vn.texttext-retrieval10K<n<100K0 likes47 downloads1y agoHugging Face15Hyukkyu /beir-cqadupstack-wordpress CQADupstackWordpressRetrieval — BEIR, unified schema A normalised copy of the dataset behind the mteb task CQADupstackWordpressRetrieval, 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-wordpress @ 4ffe81d471b1 (the revision… See the full description on the dataset page: https://huggingface.co/datasets/Hyukkyu/beir-cqadupstack-wordpress.texttext-retrieval10K<n<100K0 likes47 downloads17d agoHugging Face16mteb /CQADupstack-Mathematica-PL CQADupstack-Mathematica-PL An MTEB dataset Massive Text Embedding Benchmark CQADupStack: A Stack Exchange Question Duplicate Pairs Dataset Task category t2t Domains Written, Academic, Non-fiction Reference https://huggingface.co/datasets/clarin-knext/cqadupstack-mathematica-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-Mathematica-PL"])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CQADupstack-Mathematica-PL.texttext-retrieval10K<n<100K0 likes45 downloads1y agoHugging Face17Hyukkyu /beir-cqadupstack-gaming CQADupstackGamingRetrieval — BEIR, unified schema A normalised copy of the dataset behind the mteb task CQADupstackGamingRetrieval, 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-gaming @ 4885aa143210 (the revision pinned in… See the full description on the dataset page: https://huggingface.co/datasets/Hyukkyu/beir-cqadupstack-gaming.texttext-retrieval10K<n<100K0 likes45 downloads17d agoHugging Face18Hyukkyu /beir-cqadupstack-unix CQADupstackUnixRetrieval — BEIR, unified schema A normalised copy of the dataset behind the mteb task CQADupstackUnixRetrieval, 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-unix @ 6c6430d3a6d3 (the revision pinned in mteb)… See the full description on the dataset page: https://huggingface.co/datasets/Hyukkyu/beir-cqadupstack-unix.texttext-retrieval10K<n<100K0 likes45 downloads17d agoHugging Face19Hyukkyu /beir-cqadupstack-android CQADupstackAndroidRetrieval — BEIR, unified schema A normalised copy of the dataset behind the mteb task CQADupstackAndroidRetrieval, 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/CQADupstackAndroidRetrieval @ 9be4c0e46342 (the revision… See the full description on the dataset page: https://huggingface.co/datasets/Hyukkyu/beir-cqadupstack-android.texttext-retrieval10K<n<100K0 likes44 downloads17d agoHugging Face20Hyukkyu /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 Face21GreenNode /cqadupstack-unix-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(["CQADupstackUnix-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… See the full description on the dataset page: https://huggingface.co/datasets/GreenNode/cqadupstack-unix-vn.texttext-retrieval10K<n<100K0 likes43 downloads1y agoHugging Face22Hyukkyu /beir-cqadupstack-gis CQADupstackGisRetrieval — BEIR, unified schema A normalised copy of the dataset behind the mteb task CQADupstackGisRetrieval, 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-gis @ 5003b3064772 (the revision pinned in mteb)… See the full description on the dataset page: https://huggingface.co/datasets/Hyukkyu/beir-cqadupstack-gis.texttext-retrieval10K<n<100K0 likes43 downloads17d agoHugging Face23mteb /CQADupstack-Gis-PL CQADupstack-Gis-PL An MTEB dataset Massive Text Embedding Benchmark CQADupStack: A Stack Exchange Question Duplicate Pairs Dataset Task category t2t Domains Written, Academic, Non-fiction Reference https://huggingface.co/datasets/clarin-knext/cqadupstack-gis-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-Gis-PL"]) evaluator = mteb.MTEB(task)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CQADupstack-Gis-PL.texttext-retrieval10K<n<100K0 likes42 downloads1y agoHugging Face24GreenNode /cqadupstack-stats-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(["CQADupstackStats-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… See the full description on the dataset page: https://huggingface.co/datasets/GreenNode/cqadupstack-stats-vn.texttext-retrieval10K<n<100K0 likes42 downloads1y agoHugging Face25GreenNode /cqadupstack-wordpress-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(["CQADupstackWordpress-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… See the full description on the dataset page: https://huggingface.co/datasets/GreenNode/cqadupstack-wordpress-vn.texttext-retrieval10K<n<100K0 likes41 downloads1y agoHugging Face26Hyukkyu /beir-cqadupstack-english CQADupstackEnglishRetrieval — BEIR, unified schema A normalised copy of the dataset behind the mteb task CQADupstackEnglishRetrieval, 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-english @ ad9991cb51e3 (the revision pinned… See the full description on the dataset page: https://huggingface.co/datasets/Hyukkyu/beir-cqadupstack-english.texttext-retrieval10K<n<100K0 likes41 downloads17d agoHugging Face27Hyukkyu /beir-cqadupstack-physics CQADupstackPhysicsRetrieval — BEIR, unified schema A normalised copy of the dataset behind the mteb task CQADupstackPhysicsRetrieval, 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-physics @ 79531abbd1fb (the revision pinned… See the full description on the dataset page: https://huggingface.co/datasets/Hyukkyu/beir-cqadupstack-physics.texttext-retrieval10K<n<100K0 likes41 downloads17d agoHugging Face28mteb /CQADupstackGisRetrieval-Fa CQADupstackGisRetrieval-Fa An MTEB dataset Massive Text Embedding Benchmark CQADupstackGisRetrieval-Fa Task category t2t Domains Web Reference https://huggingface.co/datasets/MCINext/cqadupstack-gis-fa 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(["CQADupstackGisRetrieval-Fa"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CQADupstackGisRetrieval-Fa.texttext-retrieval10K<n<100K0 likes40 downloads1y agoHugging Face29Hyukkyu /beir-cqadupstack-programmers CQADupstackProgrammersRetrieval — BEIR, unified schema A normalised copy of the dataset behind the mteb task CQADupstackProgrammersRetrieval, 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-programmers @ 6184bc1440d2 (the… See the full description on the dataset page: https://huggingface.co/datasets/Hyukkyu/beir-cqadupstack-programmers.texttext-retrieval10K<n<100K0 likes38 downloads17d agoHugging Face30Hyukkyu /beir-cqadupstack-stats CQADupstackStatsRetrieval — BEIR, unified schema A normalised copy of the dataset behind the mteb task CQADupstackStatsRetrieval, 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-stats @ 65ac3a16b8e9 (the revision pinned in… See the full description on the dataset page: https://huggingface.co/datasets/Hyukkyu/beir-cqadupstack-stats.texttext-retrieval10K<n<100K0 likes38 downloads17d agoHugging Face

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