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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01G4KMU /t2-ragbench Dataset Card for T2-RAGBench Project Page | Paper | Code IMPORTANT NOTICE: We deleted VQAonBD from the dataset due to low quality of the question reformulations. If you still want to use it you will find the data in the previous commit history. Dataset Description Dataset Summary T2-RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on financial documents containing both text and tables. It consists of 23,088… See the full description on the dataset page: https://huggingface.co/datasets/G4KMU/t2-ragbench.documenttable-question-answering10K<n<100K17 likes5.4k downloads6mo agoHugging Face02Shanmuk4622 /jeb-rag JEB-Bench Charging the Gate Rent: Measured-Energy Accounting for Adaptive Retrieval-Augmented Generation ⚠️ Status: under construction. Phase 0 (measurement validation) and Phase 1 (index construction) are landing now. The oracle matrix (bench/oracle/) is populated in Phase 2 and this card will be revised when it is complete. Do not cite numbers from this repository until the status line says complete. What this is The first public per-query × per-configuration… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/jeb-rag.tabularquestion-answering10K<n<100K2 likes2.5k downloads1mo agoHugging Face03botay /t2-ragbench Dataset Card for T2-RAGBench Project Page | Paper | Code IMPORTANT NOTICE: We deleted VQAonBD from the dataset due to low quality of the question reformulations. If you still want to use it you will find the data in the previous commit history. Dataset Description Dataset Summary T2-RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on financial documents containing both text and tables. It consists of 23,088… See the full description on the dataset page: https://huggingface.co/datasets/botay/t2-ragbench.documenttable-question-answering10K<n<100K0 likes534 downloads5mo agoHugging Face04Toivo0 /medicalpark-rag Medical Park Türkçe Sağlık Makaleleri — RAG Sistemi Türkçe tıbbi makaleler üzerine kurulmuş, eşik (threshold) tabanlı bir Retrieval-Augmented Generation (RAG) altyapısı. 1. Veri Seti Kaynak: umutertugrul/turkish-hospital-medical-articles (CC BY 4.0) Veri seti içeriği: 14 farklı Türk hastane/sağlık kuruluşunun web sitesinden çekilmiş Türkçe tıbbi makaleler, her kuruluş ayrı bir .parquet dosyası olarak sunuluyor (toplam ~25.000 makale, 14 kaynak: Acıbadem… See the full description on the dataset page: https://huggingface.co/datasets/Toivo0/medicalpark-rag.tabulartext-retrieval1K<n<10K0 likes293 downloads2mo agoHugging Face05grasson /t2-ragbench Dataset Card for T2-RAGBench Project Page | Paper | Code IMPORTANT NOTICE: We deleted VQAonBD from the dataset due to low quality of the question reformulations. If you still want to use it you will find the data in the previous commit history. Dataset Description Dataset Summary T2-RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on financial documents containing both text and tables. It consists of 23,088… See the full description on the dataset page: https://huggingface.co/datasets/grasson/t2-ragbench.documenttable-question-answering10K<n<100K0 likes212 downloads5mo agoHugging Face06DinoStackAI /narrativeqa-rag NarrativeQA RAG Dataset for Retrieval-Augmented Generation (RAG) based on NarrativeQA. Structure Subset Splits Description corpus train (default) Wikipedia plot summaries shared across all query splits queries train, dev, test Reading comprehension questions qrels train, dev, test Relevance judgments (query ↔ document) answers train, dev, test Reference answers (longest annotated answer) Dataset statistics Split Queries… See the full description on the dataset page: https://huggingface.co/datasets/DinoStackAI/narrativeqa-rag.tabularquestion-answering100K<n<1M0 likes210 downloads3mo agoHugging Face07sedayzc /turkish-medical-rag 🩺 Turkish Medical RAG Hierarchical Parent–Child Retrieval-Augmented Generation for Turkish Medical Documents 📌 Proje Hakkında Bu proje, Türkçe tıbbi dokümanlar üzerinde çalışan uçtan uca bir Retrieval-Augmented Generation (RAG) sistemi geliştirmek amacıyla hazırlanmıştır. Sistem bir kullanıcı sorusu aldığında önce doküman koleksiyonundaki küçük ve anlamsal olarak odaklı parçalar (child chunks)… See the full description on the dataset page: https://huggingface.co/datasets/sedayzc/turkish-medical-rag.tabularquestion-answering1K<n<10K0 likes186 downloads2mo agoHugging Face08Chakshu123 /rag-dx RAG-Dx: a diagnostic benchmark for retrieval This dataset is for evaluation. It is not training data and should not be used to train or fine-tune models. Most retrieval benchmarks give you a number. A number tells you that something is wrong, not what. RAG-Dx reports how much a retrieval stack degrades on each of eight specific failure modes, so the output points at a fix. Code, harness and reproduction scripts: https://github.com/chakshu-dhannawat/rag-dx What is in… See the full description on the dataset page: https://huggingface.co/datasets/Chakshu123/rag-dx.tabularquestion-answering10K<n<100K0 likes174 downloads24d agoHugging Face09NovachronoAI /RAG-Grounded-QA-188k 🎯 RAG Grounded QA 186K The Anti-Hallucination Dataset Teach language models to answer from context — or shut up trying. Built by NovachronoAI — Precision AI for the real world. Full Dataset (186K) · 20K Subset · Schema · Sources · Usage Guide 🧠 Why This Dataset Exists Most QA datasets teach models what to say. This one also teaches them when to stay silent. RAG (Retrieval-Augmented Generation) systems have a fatal flaw: the model hallucinates when… See the full description on the dataset page: https://huggingface.co/datasets/NovachronoAI/RAG-Grounded-QA-188k.tabularquestion-answering100K<n<1M0 likes172 downloads7mo agoHugging Face10Madras1 /rag-qa-fulltext-ptbr RAG QA Full-Text PT-BR Mistral A large-scale dataset of Brazilian Portuguese RAG-style question-answer pairs with grounded evidence spans, generated from Madras1/corpus-ptbr-v1 documents using Mistral models. Every answer is anchored to literal quotations from the source text, making this dataset suitable for training and evaluating retrieval-augmented generation systems, extractive QA models, and reading comprehension benchmarks in Portuguese. Two configurations are available:… See the full description on the dataset page: https://huggingface.co/datasets/Madras1/rag-qa-fulltext-ptbr.tabularquestion-answering1M<n<10M0 likes159 downloads5mo agoHugging Face11enelpol /rag-mini-bioasq-with-metadataThis dataset is an extension of the rag-mini-bioasq dataset. Its difference resides in the text-corpus part of the aforementioned set where the metadata was added for each passage. Metadata contains six separate categories, each in a dedicated column: Year of the publication (publish_year) Type of the publication (publish_type) Country of the publication - often correlated with the homeland of the authors (country) Number of pages (no_pages) Authors (authors) Keywords (keywords) tabularquestion-answering10K<n<100K2 likes157 downloads2y agoHugging Face12Kandil7 /Athar-RAG-Hub Athar RAG Hub 🕌 Collection Chunks seerah 5,852 tabularquestion-answering1K<n<10K0 likes133 downloads5mo agoHugging Face13DinoStackAI /telco-dpr-rag Telco-DPR RAG Dataset for Retrieval-Augmented Generation (RAG) based on Telco-DPR. Structure Subset Splits Description corpus train (default) 3GPP technical passages (text + tables) shared across all query splits queries train, dev, test Synthetic telecom QA questions qrels train, dev, test Relevance judgments (query ↔ passage) answers train, dev, test Reference answers Dataset statistics Split Queries Corpus train… See the full description on the dataset page: https://huggingface.co/datasets/DinoStackAI/telco-dpr-rag.tabularquestion-answering10K<n<100K0 likes129 downloads3mo agoHugging Face14DinoStackAI /qasper-rag QASPER RAG Dataset for Retrieval-Augmented Generation (RAG) based on QASPER. Structure Subset Splits Description corpus train (default) Paper chunks (abstract + full-text paragraphs) shared across all query splits queries train, dev, test Information-seeking questions over scientific papers qrels train, dev, test Relevance judgments (query ↔ paragraph chunk) answers train, dev, test Reference answers (longest valid free-form answer) top_ranked… See the full description on the dataset page: https://huggingface.co/datasets/DinoStackAI/qasper-rag.tabularquestion-answering100K<n<1M0 likes125 downloads3mo agoHugging Face15tomsummerfield /t2-ragbench Dataset Card for T2-RAGBench Project Page | Paper | Code IMPORTANT NOTICE: We deleted VQAonBD from the dataset due to low quality of the question reformulations. If you still want to use it you will find the data in the previous commit history. Dataset Description Dataset Summary T2-RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on financial documents containing both text and tables. It consists of 23,088… See the full description on the dataset page: https://huggingface.co/datasets/tomsummerfield/t2-ragbench.documenttable-question-answering10K<n<100K0 likes121 downloads6mo agoHugging Face16CJJones /Wikipedia_RAG_QA_Classification 🏛️ Wikipedia RAG QA Dataset for Retrieval-Augmented Generation Training 📊 Dataset Description This dataset contains 300,000+ validated model-generated responses to Wikipedia content, specifically designed for Retrieval-Augmented Generation (RAG) applications and SQL database insertion tasks. Generated by Jeeney AI Reloaded 207M GPT with specialized RAG tuning. 🖥️ Demo Interface: Discord Live Chat Demo on Discord: https://discord.gg/Xe9tHFCS9h The full CJ… See the full description on the dataset page: https://huggingface.co/datasets/CJJones/Wikipedia_RAG_QA_Classification.tabulartext-generation100K<n<1M1 likes113 downloads6mo agoHugging Face17dokukoza /kdv-rag-benchmark KDV RAG Benchmark A retrieval benchmark dataset for Turkish VAT (KDV, Katma Değer Vergisi) law — built by adding retrieval layers one at a time (chunking, model choice, hybrid search, reranking, query rewriting, historical/date filtering) and statistically validating each one individually (see Results). Dataset structure Splits Split Records Period train 728 2018-2023 test 154 2024-2026 Split strategy: temporal — train and test… See the full description on the dataset page: https://huggingface.co/datasets/dokukoza/kdv-rag-benchmark.tabularquestion-answering1K<n<10K0 likes100 downloads28d agoHugging Face18DinoStackAI /bioasq-rag-13b-resplit BioASQ RAG 13B (Resplit) Reshuffled version of DinoStackAI/bioasq-rag-13b for Retrieval-Augmented Generation (RAG). All original train, dev and test queries were merged, shuffled with seed 42, and reassigned using: 0.2 of all queries → test 0.2 of the remaining queries → dev the rest → train The shared PubMed corpus is unchanged from the source dataset. Structure Subset Splits Description corpus train (default) PubMed abstracts shared across all query… See the full description on the dataset page: https://huggingface.co/datasets/DinoStackAI/bioasq-rag-13b-resplit.tabularquestion-answering100K<n<1M0 likes91 downloads3mo agoHugging Face19mtntasci /turkish-legal-rag Turkish Legal RAG Corpus — Türk Hukuku için Açık RAG Datasetı Tek cümle: 25 önemli Türk kanununun (mevzuat.gov.tr kaynaklı, madde bazlı temiz chunk'lar) + 290 manuel doğrulanmış soru-cevap altın benchmark'ının olduğu açık kaynak Türkçe hukuk RAG datasetı. 🇹🇷 Türkçe Özet — Bu dataset, Türkçe hukuk uygulamaları için sıfırdan üretilmiş açık ve denetlenebilir bir RAG corpus'udur. mevzuat.gov.tr üzerinden alınan 25 ana kanunun madde madde temizlenmiş, chunk'lanmış sürümünü (6.350… See the full description on the dataset page: https://huggingface.co/datasets/mtntasci/turkish-legal-rag.tabulartext-retrieval1K<n<10K2 likes83 downloads4mo agoHugging Face20Azzindani /ID_REG_MD_RAG 📑 Indonesian Regulation Markdown RAG Dataset (ID_REG_MD_RAG) This repository contains a highly structured, Markdown-optimized collection of Indonesian Regulations (Peraturan Perundang-undangan). This dataset is specifically engineered to solve the "structure loss" problem often encountered when building Retrieval-Augmented Generation (RAG) systems for complex legal documents. 🏛️ 💡 The Concept: Structural Integrity for RAG Legal documents in Indonesia follow a… See the full description on the dataset page: https://huggingface.co/datasets/Azzindani/ID_REG_MD_RAG.tabulartext-generation100K<n<1M3 likes75 downloads7mo agoHugging Face21HiTZ /elkarhizketak-RAG Dataset Card for ElkarHizketak RAG and its Disruptor Variants Base and disruptor variants of ElkarHizketak, built to stress-test conversational RAG systems in Basque under realistic interaction patterns (conversational openings, topic shifts). Dataset Details Dataset Description This dataset extends ElkarHizketak with a base variant (rewritten opening queries, retrieval-needed labels, retrieved chunks) and disruptor variants that inject… See the full description on the dataset page: https://huggingface.co/datasets/HiTZ/elkarhizketak-RAG.tabularquestion-answering1K<n<10K1 likes75 downloads3mo agoHugging Face22tarekmasryo /rag-qa-logs-corpus-data 🧠📚 RAG QA Logs & Corpus (Synthetic) 🧪 Multi-table synthetic RAG telemetry for quality, hallucinations, latency, and cost A production-style, privacy-safe synthetic dataset that mimics telemetry exported from a real RAG system — from corpus → chunks → retrieval events → eval runs. ✅ Fully synthetic (no real users / orgs / PII). ⚡ Quick facts Total rows: 103,255 across 6 linked tables Labels (in eval_runs): is_correct, hallucination_flag, faithfulness_label… See the full description on the dataset page: https://huggingface.co/datasets/tarekmasryo/rag-qa-logs-corpus-data.tabularquestion-answering100K<n<1M2 likes73 downloads8mo agoHugging Face23oddadmix /arabic-rag-chat-8k-eval arabic-rag-chat-8k-eval Per-row evaluation artifacts for the 8,192-token Arabic multi-turn RAG models: the test split, every model's raw replies, every judge verdict, and the rendered report for each. Thirteen judged models, all scored on the same 1,651 prompts by the same judge at temperature 0.0, so the comparison below is like-for-like and can be recomputed offline without a GPU or a judge server. This is the measurement half of oddadmix/100M-8192-Nawah-dsv4; the training… See the full description on the dataset page: https://huggingface.co/datasets/oddadmix/arabic-rag-chat-8k-eval.tabularquestion-answeringn<1K0 likes72 downloads1mo agoHugging Face24alirezaaminzadeh /hse-multimodal-rag-corpus HSE Multimodal RAG Corpus Chunks, labeled QA (including out-of-scope abstention), and published retrieval metrics. chunks.jsonl qa_pairs.jsonl eval_results.json benchmark_report.json tabularquestion-answeringn<1K0 likes72 downloads28d agoHugging Face25alirezaaminzadeh /procure-hybrid-rag-corpus Procure Hybrid RAG Corpus Chunks, labeled QA (including out-of-scope abstention), and published retrieval metrics. chunks.jsonl qa_pairs.jsonl eval_results.json benchmark_report.json tabularquestion-answeringn<1K0 likes69 downloads28d agoHugging Face26alirezaaminzadeh /soc-playbook-rag-corpus SOC Playbook RAG Corpus Chunks, labeled QA (including out-of-scope abstention), and published retrieval metrics. chunks.jsonl qa_pairs.jsonl eval_results.json benchmark_report.json tabularquestion-answeringn<1K0 likes68 downloads28d agoHugging Face27alirezaaminzadeh /petrosafe-rag-corpus-fa PetroSafe RAG Corpus (FA/EN) Bilingual (Persian/English) knowledge corpus for process safety and HSE in oil, gas, and petrochemical operations. Built for alirezaaminzadeh/petrosafe-rag-fa, the retrieval architecture is inherited unchanged from hse-multimodal-rag-corpus (hybrid BM25 + word/char TF-IDF, mandatory citations, abstention) — this repo supplies new domain content, not a new retrieval method. Data honesty (please read before citing any number from this… See the full description on the dataset page: https://huggingface.co/datasets/alirezaaminzadeh/petrosafe-rag-corpus-fa.tabularquestion-answeringn<1K0 likes68 downloads17d agoHugging Face28alirezaaminzadeh /contract-clause-rag-corpus Contract Clause RAG Corpus Chunks, labeled QA (including out-of-scope abstention), and published retrieval metrics. chunks.jsonl qa_pairs.jsonl eval_results.json benchmark_report.json tabularquestion-answeringn<1K0 likes67 downloads28d agoHugging Face29lgoyal /noisy-rag-bench noisy-rag-bench A retrieval corpus and QA set for measuring what realistic document noise does to a RAG pipeline, plus the benchmark run over 18 noise conditions. Retrieval benchmarks run on clean text. Documents inside a bank or a law firm are scans: OCR confusions, running headers, hyphens broken across lines, redacted spans. This is the corpus for measuring that, and the result it was built to expose. Code and full write-up: https://github.com/lgoyal6/noisy-rag-bench… See the full description on the dataset page: https://huggingface.co/datasets/lgoyal/noisy-rag-bench.tabularquestion-answeringn<1K0 likes66 downloads26d agoHugging Face30evgenypal /k8s-docs-rag-bench k8s-docs-rag-bench Paper: Analyzing Quality--Latency--Resource Trade-offs in a Technical Documentation RAG Assistant Using LoRA Adaptation (arXiv:2605.28222) Code: github.com/EugPal/rag-lora-tradeoffs A small, fully-grounded benchmark for retrieval-augmented question answering (RAG) over the official Kubernetes documentation, together with the full set of LLM-judge labels used in the accompanying preprint "Analyzing Quality-Latency-Resource Trade-offs in a Technical… See the full description on the dataset page: https://huggingface.co/datasets/evgenypal/k8s-docs-rag-bench.tabularquestion-answering100K<n<1M0 likes65 downloads4mo agoHugging Face

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