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01BeIR /dbpedia-entity Dataset Card for BEIR Benchmark dbpedia-entity is one of the datasets from the Entity Retrieval task within BEIR, measuring the retrieval of DbPedia articles for a given query entity. 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… See the full description on the dataset page: https://huggingface.co/datasets/BeIR/dbpedia-entity.textzero-shot-classification1M<n<10M18 likes690 downloads6mo agoHugging Face02lightonai /dbpedia-entity-decontaminated dbpedia-entity (Decontaminated) A decontaminated version of the dbpedia-entity dataset from the BEIR benchmark, with samples found in the mgte-en pre-training dataset removed. Decontamination methodology Contamination was detected using a two-pass approach against the full mgte-en dataset (484 GB, 1,235 parquet files): Pass 1: Exact hash matching All texts (queries and corpus documents) were normalized (lowercased, unicode NFKD, whitespace collapsed) and hashed… See the full description on the dataset page: https://huggingface.co/datasets/lightonai/dbpedia-entity-decontaminated.texttext-retrieval1M<n<10M0 likes460 downloads6mo agoHugging Face03BeIR /dbpedia-entity-qrels Dataset Card for BEIR Benchmark Dataset Summary BEIR is a heterogeneous benchmark that has been 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… See the full description on the dataset page: https://huggingface.co/datasets/BeIR/dbpedia-entity-qrels.texttext-retrieval10K<n<100K0 likes336 downloads4y agoHugging Face04BeIR /dbpedia-entity-generated-queries Dataset Card for BEIR Benchmark Dataset Summary BEIR is a heterogeneous benchmark that has been 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… See the full description on the dataset page: https://huggingface.co/datasets/BeIR/dbpedia-entity-generated-queries.texttext-retrieval1M<n<10M9 likes274 downloads4y agoHugging Face05faneshion /BEIR-dbpedia-entity-interprettext1M<n<10M0 likes69 downloads1y agoHugging Face06ryanott /dbpedia-entity__openai_ada2text100K<n<1M0 likes38 downloads2y agoHugging Face07adorkin /dbpedia-entity-est BibTeX entry and citation info @misc{dorkin2024glilemleveragingglinercontextualized, title={GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian}, author={Aleksei Dorkin and Kairit Sirts}, year={2024}, eprint={2412.20597}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2412.20597}, } textquestion-answering1M<n<10M0 likes23 downloads2y agoHugging Face08clips /beir-nl-dbpedia-entity Dataset Card for BEIR-NL Benchmark Dataset Summary BEIR-NL is a Dutch-translated version of the BEIR benchmark, a diverse and heterogeneous collection of datasets covering various domains from biomedical and financial texts to general web content. Our benchmark is integrated into the Massive Multilingual Text Embedding Benchmark (MMTEB). BEIR-NL contains the following tasks: Fact-checking: FEVER, Climate-FEVER, SciFact Question-Answering: NQ, HotpotQA, FiQA-2018… See the full description on the dataset page: https://huggingface.co/datasets/clips/beir-nl-dbpedia-entity.texttext-retrieval1M<n<10M0 likes23 downloads2y agoHugging Face09adorkin /dbpedia-entityThis is a reupload of DBpedia-Entity V2 that combines the queries, the relevance judgements, and the corpus (DBpedia dump) in a single place. Please, cite the original authors if you use it. BibTeX entry and citation info @inproceedings{Hasibi:2017:DVT, author = {Hasibi, Faegheh and Nikolaev, Fedor and Xiong, Chenyan and Balog, Krisztian and Bratsberg, Svein Erik and Kotov, Alexander and Callan, Jamie}, title = {DBpedia-Entity V2: A Test Collection for Entity Search}… See the full description on the dataset page: https://huggingface.co/datasets/adorkin/dbpedia-entity.textquestion-answering1M<n<10M0 likes22 downloads2y agoHugging Face10NeuralPGRank /dbpedia-entity-hard-negatives Dataset Card Dataset Details This dataset contains a set of candidate documents for second-stage re-ranking on dbpedia (test split in BEIR). Those candidate documents are composed of hard negatives mined from gtr-t5-xl as Stage 1 ranker and ground-truth documents that are known to be relevant to the query. This is a release from our paper Policy-Gradient Training of Language Models for Ranking, so please cite it if using this dataset. Direct Use You can… See the full description on the dataset page: https://huggingface.co/datasets/NeuralPGRank/dbpedia-entity-hard-negatives.textn<1K0 likes16 downloads2y agoHugging Face11orgrctera /beir_dbpedia_entity_test beir_dbpedia_entity_test BEIR DBPedia-Entity test split Field Value Benchmark beir Sub-benchmark dbpedia_entity Type retrieval Items 400 Exported from Langfuse. textquestion-answeringn<1K0 likes13 downloads7mo agoHugging Face12orgrctera /beir_dbpedia_entity BEIR DBPedia-Entity (orgrctera/beir_dbpedia_entity) Overview DBpedia-Entity v2 is a standard test collection for entity-oriented search over the DBpedia knowledge base: given a short information need expressed in natural language, systems must retrieve DBpedia entities (articles) that satisfy that need. The collection unifies queries from several benchmarks (e.g. SemSearch, INEX, QALD entity search tasks) with graded relevance judgments collected under consistent… See the full description on the dataset page: https://huggingface.co/datasets/orgrctera/beir_dbpedia_entity.texttext-retrievaln<1K0 likes12 downloads6mo agoHugging Face13income /dbpedia-entity-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/dbpedia-entity-top-20-gen-queries.texttext-retrieval1M<n<10M0 likes11 downloads4y agoHugging Face14freethenation /dbpedia-entity-subtext1K<n<10K0 likes8 downloads11mo agoHugging Face15nthakur /gpl-dbpedia-entitytext100K<n<1M1 likes7 downloads3y agoHugging Face16orgrctera /beir_dbpedia_entity_dev beir_dbpedia_entity_dev BEIR DBPedia-Entity dev split Field Value Benchmark beir Sub-benchmark dbpedia_entity Type retrieval Items 67 Exported from Langfuse. textquestion-answeringn<1K0 likes6 downloads7mo agoHugging Face

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