CoolFace
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rag-benchmark

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Models

All models matching “rag-benchmark”
axlerate /ragbench-trace-deberta-v3-large-heldout-benchmarktoken-classificationtransformersen0 likes36 downloads24d agoHugging Facerag-experiments /VectorDB-Benchmarks0 likes1y agoHugging FaceSakhiur /empirical-rag-paradigm-benchmark0 likes2mo agoHugging Faceraghvendramall /pearl-benchmark-models0 likes27d agoHugging Face

Datasets

All datasets matching “rag-benchmark”
jinulee-v /expert-rag-benchmarks Expert RAG Benchmarks A unified collection of four expert-level legal RAG benchmarks, exposed as six named splits and three relational configurations: questions, documents, and qrels. The KCL split is named kcl_essay because Hugging Face split identifiers do not permit hyphens; its source name remains kcl-essay. Loading from datasets import load_dataset repo_id = "jinulee-v/expert-rag-benchmarks" questions = load_dataset(repo_id, "questions", split="housing")… See the full description on the dataset page: https://huggingface.co/datasets/jinulee-v/expert-rag-benchmarks.textquestion-answering1M<n<10M0 likes625 downloads3d agoHugging Facellmware /rag_instruct_benchmark_tester Dataset Card for RAG-Instruct-Benchmark-Tester Dataset Summary This is an updated benchmarking test dataset for "retrieval augmented generation" (RAG) use cases in the enterprise, especially for financial services, and legal. This test dataset includes 200 questions with context passages pulled from common 'retrieval scenarios', e.g., financial news, earnings releases, contracts, invoices, technical articles, general news and short texts. The questions are segmented… See the full description on the dataset page: https://huggingface.co/datasets/llmware/rag_instruct_benchmark_tester.tabularn<1K55 likes227 downloads3y agoHugging FaceSakhiur /empirical-rag-paradigm-benchmark0 likes207 downloads2d agoHugging Faceneoai-inc /Japanese-RAG-Generator-Benchmark Japanese RAG Generator Benchmark: 日本語 RAG における Generator 評価ベンチマーク Japanese RAG Generator Benchmark (J-RAGBench) は日本語RAGにおけるGeneratorに用いるLLMの評価データセットを提供する。 実運用時のRAGに求められる多様な評価カテゴリを同一条件下で評価可能であり、複数の評価カテゴリが同時に出現する問題が含まれるQAデータセットを人手および、補助的にOpenAI API(gpt-4.1-2025-04-14)を用いて構築した。 J-RAGBenchの評価カテゴリ Integration: 2~3文書程度の複数の情報源から適切な根拠を抽出・統合して回答を導く Reasoning: 抽出された情報を踏まえて多段階の推論や数値計算などを実行する Logical: 質問・関連文書間での語彙や表現の差異を解釈し、適切な回答を導く Table:… See the full description on the dataset page: https://huggingface.co/datasets/neoai-inc/Japanese-RAG-Generator-Benchmark.textquestion-answeringn<1K4 likes184 downloads10mo agoHugging Facesilma-ai /silma-rag-qa-benchmark-v1.0 SILMA RAGQA Benchmark Dataset V1.0 SILMA RAGQA is a dataset and benchmark created by silma.ai to assess the effectiveness of Arabic Language Models in Extractive Question Answering tasks, with a specific emphasis on RAG applications The benchmark includes 17 bilingual datasets in Arabic and English, spanning various domains What capabilities does the benchmark test? General Arabic and English QA capabilities Ability to handle short and long contexts Ability to… See the full description on the dataset page: https://huggingface.co/datasets/silma-ai/silma-rag-qa-benchmark-v1.0.textquestion-answering1K<n<10K7 likes111 downloads1y agoHugging FaceEverMind-AI /MSA-RAG-BENCHMARKS1 likes106 downloads6mo agoHugging Face

Apps

All apps matching “rag-benchmark”
adamrida /Temporal-RAG-Benchmarkgradio0 likes2y agoHugging FaceO96a /interleaved-rag-benchmarkgradio0 likes5mo agoHugging Facesrraos /RAG_n_Riches_ChatBot_for_Benchmarkingstreamlit0 likes3mo agoHugging Facearavindagowda /siem-rag-benchmarkdocker0 likes3mo agoHugging Faceosmantalayhan /medical-rag-benchmark0 likes1mo agoHugging Faceemretheus /jev-rag-benchmark-leaderboardstatic0 likes21h agoHugging Face