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OmniEval-KnowledgeCorpus
- huggingface.co
Updated Jan 2, 2025+ more versions
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EmailClick to copy linkLink copiedCiteNLPIR Lab @ RUC (2025). OmniEval-KnowledgeCorpus [Dataset]. https://huggingface.co/datasets/RUC-NLPIR/OmniEval-KnowledgeCorpusDataset updatedJan 2, 2025Dataset authored and provided byNLPIR Lab @ RUCLicenseAttribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automaticallyDescriptionDataset Information
We introduce an omnidirectional and automatic RAG benchmark, OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain, in the financial domain. Our benchmark is characterized by its multi-dimensional evaluation framework, including:
a matrix-based RAG scenario evaluation system that categorizes queries into five task classes and 16 financial topics, leading to a structured assessment of diverse query scenarios; a… See the full description on the dataset page: https://huggingface.co/datasets/RUC-NLPIR/OmniEval-KnowledgeCorpus.
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InstUnd-Omni-Eval-v1
- huggingface.co
Updated Mar 11, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteJavisGPT-dev (2025). InstUnd-Omni-Eval-v1 [Dataset]. https://huggingface.co/datasets/JavisGPT-dev/InstUnd-Omni-Eval-v1CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMar 11, 2025Dataset authored and provided byJavisGPT-devLicenseMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automaticallyDescriptionJavisGPT-dev/InstUnd-Omni-Eval-v1 dataset hosted on Hugging Face and contributed by the HF Datasets community
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FacebookTwitterEmailAttribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
Dataset Information
We introduce an omnidirectional and automatic RAG benchmark, OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain, in the financial domain. Our benchmark is characterized by its multi-dimensional evaluation framework, including:
a matrix-based RAG scenario evaluation system that categorizes queries into five task classes and 16 financial topics, leading to a structured assessment of diverse query scenarios; a… See the full description on the dataset page: https://huggingface.co/datasets/RUC-NLPIR/OmniEval-KnowledgeCorpus.