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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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01rl-rag /hle-gpt-oss-120b-no-python-260222 hle-gpt-oss-120b-no-python-260222 Deep research agent evaluation on rl-rag/hle_text_only (test split). Results Metric Value pass@4 47.9% avg@4 26.6% Trajectory accuracy 26.6% (2292/8632) Questions 2158 Trajectories 8632 (4 per question) Avg tool calls 14.5 Full conversations ❌ Model & Setup Model gpt-oss-120b Judge gpt-4o Max tool calls 50 Temperature 0.7 Blocked domains huggingface.co Tool Usage… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/hle-gpt-oss-120b-no-python-260222.tabular1K<n<10K1 likes11k downloads8mo 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 Do not cite numbers from this repository until the status line says complete.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<100K3 likes6.6k downloads2mo agoHugging Face03G4KMU /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 likes3.9k downloads6mo agoHugging Face04ragarwal /arxiv-markdown arXiv Markdown Last updated: 22 September 2026 Full text of 1,730,536 arXiv papers as Markdown, one row per paper with its metadata. The subset covers 58 categories in computer science, electrical engineering, mathematics, statistics, physics, condensed matter, quantum physics, astrophysics instrumentation and quantitative biology, from 1991 to September 2026. Papers with LaTeX source were converted with latexml and pandoc, so formulas are LaTeX in $…$ and $$…$$. Papers that… See the full description on the dataset page: https://huggingface.co/datasets/ragarwal/arxiv-markdown.tabulartext-generation1M<n<10M0 likes3.6k downloads16d agoHugging Face05galileo-ai /ragbench RAGBench Dataset Overview RAGBEnch is a large-scale RAG benchmark dataset of 100k RAG examples. It covers five unique industry-specific domains and various RAG task types. RAGBench examples are sourced from industry corpora such as user manuals, making it particularly relevant for industry applications. RAGBench comrises 12 sub-component datasets, each one split into train/validation/test splits Usage from datasets import load_dataset # load… See the full description on the dataset page: https://huggingface.co/datasets/galileo-ai/ragbench.tabular10K<n<100K138 likes3.4k downloads2y agoHugging Face06wandb /RAGTruth-processed RAGTruth Dataset Dataset Description Dataset Summary The RAGTruth dataset is designed for evaluating hallucinations in text generation models, particularly in retrieval-augmented generation (RAG) contexts. It contains examples of model outputs along with expert annotations indicating whether the outputs contain hallucinations. Dataset Structure Each example contains: A query/question Context passages Model output Hallucination labels (evident… See the full description on the dataset page: https://huggingface.co/datasets/wandb/RAGTruth-processed.text10K<n<100K31 likes3k downloads2y agoHugging Face07ragrawal36 /multihop_qatext1M<n<10M2 likes3k downloads6mo agoHugging Face08rl-rag /browsecomp-gpt-oss-120b-260222 browsecomp-gpt-oss-120b-260222 Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@4 46.8% avg@4 23.9% Trajectory accuracy 23.9% (1211/5064) Questions 1266 Trajectories 5064 (4 per question) Avg tool calls 26.1 Full conversations ✅ Model & Setup Model gpt-oss-120b Judge gpt-4o Max tool calls 50 Temperature 0.7 Blocked domains huggingface.co Tool Usage… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-gpt-oss-120b-260222.tabular1K<n<10K0 likes2.4k downloads8mo agoHugging Face09rag-datasets /rag-mini-wikipediaIn this huggingface discussion you can share what you used the dataset for. Derives from https://www.kaggle.com/datasets/rtatman/questionanswer-dataset?resource=download we generated our own subset using generate.py. textquestion-answering1K<n<10K61 likes2.2k downloads2y agoHugging Face10rl-rag /browsecomp-no-scroll-gpt-oss-120b browsecomp-no-scroll-gpt-oss-120b Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@4 46.0% avg@4 22.9% Trajectory accuracy 22.9% (1160/5064) Questions 1266 Trajectories 5064 (4 per question) Avg tool calls 27.0 Full conversations ❌ Model & Setup Model gpt-oss-120b Judge gpt-4o Max tool calls 50 Temperature 0.7 Blocked domains huggingface.co Tool… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-no-scroll-gpt-oss-120b.tabular1K<n<10K0 likes2.2k downloads7mo agoHugging Face11rl-rag /hle_text_onlyimage1K<n<10K0 likes1.9k downloads8mo agoHugging Face12rl-rag /browsecomp-high-effort-gpt-oss-120b browsecomp-high-effort-gpt-oss-120b Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@4 44.1% avg@4 22.9% Trajectory accuracy 22.9% (1158/5064) Questions 1266 Trajectories 5064 (4 per question) Avg tool calls 55.4 Full conversations ❌ Model & Setup Model gpt-oss-120b Judge gpt-4o Max tool calls 100 Temperature 0.7 Blocked domains huggingface.co Tool… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-high-effort-gpt-oss-120b.tabular1K<n<10K0 likes1.8k downloads7mo agoHugging Face13Makaareeem /publikasi-rag-finetuning-datasettext10K<n<100K1 likes1.6k downloads14d agoHugging Face14lightblue /rag_multilingual_training_negatives How this dataset was made We trained on chunks sourced from the documents in MADLAD-400 dataset that had been evaluated to contain a higher amount of educational information according to a state-of-the-art LLM. We took chunks of size 250 tokens, 500 tokens, and 1000 tokens randomly for each document. We then used these chunks to generate questions and answers based on this text using a state-of-the-art LLM. Finally, we selected negatives for each chunk using the similarity from the… See the full description on the dataset page: https://huggingface.co/datasets/lightblue/rag_multilingual_training_negatives.tabular100K<n<1M3 likes1.3k downloads2y agoHugging Face15rl-rag /browsecomp-qwen35-35b-a3b-think browsecomp-qwen35-35b-a3b-think Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@4 43.0% avg@4 24.8% Trajectory accuracy 24.8% (1258/5064) Questions 1266 Trajectories 5064 (4 per question) Avg tool calls 41.1 Full conversations ❌ Model & Setup Model Qwen3.5-35B-A3B Judge gpt-4o Max tool calls 50 Temperature 0.7 Blocked domains huggingface.co Tool… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-qwen35-35b-a3b-think.tabular1K<n<10K0 likes1.1k downloads7mo agoHugging Face16neural-bridge /rag-dataset-12000 Retrieval-Augmented Generation (RAG) Dataset 12000 Retrieval-Augmented Generation (RAG) Dataset 12000 is an English dataset designed for RAG-optimized models, built by Neural Bridge AI, and released under Apache license 2.0. Dataset Description Dataset Summary Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by allowing them to consult an external authoritative knowledge base before generating responses. This approach significantly… See the full description on the dataset page: https://huggingface.co/datasets/neural-bridge/rag-dataset-12000.textquestion-answering10K<n<100K178 likes1.1k downloads3y agoHugging Face17rl-rag /browsecomp-high-effort-full-gpt-oss-120b browsecomp-high-effort-full-gpt-oss-120b Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@1 20.9% avg@1 20.9% Trajectory accuracy 20.9% (264/1266) Questions 1266 Trajectories 1266 (1 per question) Avg tool calls 52.9 Full conversations ✅ Model & Setup Model gpt-oss-120b Judge gpt-4o Max tool calls 100 Temperature 0.7 Blocked domains huggingface.co… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-high-effort-full-gpt-oss-120b.tabular1K<n<10K0 likes868 downloads7mo agoHugging Face18SZLHOLDINGS /rag-corpus-v1 Part of the SZL Holdings governed estate — claims are designed to carry checkable receipts. Verification proves integrity & origin, never accuracy or performance. SZLHOLDINGS/rag-corpus-v1 — Agentic-RAG corpus + per-organ FAISS indexes Doctrine v10/v11. Embedding model: BAAI/bge-base-en-v1.5 (768-dim). Built by the agentic-RAG SHIP directive (390_AGENTIC_RAG_FAISS_PER_SPACE). Contents corpus.jsonl — 762 chunks, each ~512 tokens with… See the full description on the dataset page: https://huggingface.co/datasets/SZLHOLDINGS/rag-corpus-v1.tabularfeature-extractionn<1K0 likes857 downloads12d agoHugging Face19Bai-YT /RAGDOLL The RAGDOLL E-Commerce Webpage Dataset This repository contains the RAGDOLL (Retrieval-Augmented Generation Deceived Ordering via AdversariaL materiaLs) dataset as well as its LLM-automated collection pipeline. The RAGDOLL dataset is from the paper Ranking Manipulation for Conversational Search Engines from Samuel Pfrommer, Yatong Bai, Tanmay Gautam, and Somayeh Sojoudi. For experiment code associated with this paper, please refer to this repository. The dataset consists of 10… See the full description on the dataset page: https://huggingface.co/datasets/Bai-YT/RAGDOLL.textquestion-answering1K<n<10K4 likes846 downloads2y agoHugging Face20F4biian /RAGognize RAGognize Dataset Card Resource Link Code Paper Demo In Retrieval-Augmented Generation (RAG), ensuring accuracy and reliability is essential. RAGognize is a dataset created to help researchers and developers study and improve how AI systems use retrieved information. By offering structured examples and natural token-level closed-domain hallucination annotations, it provides a resource for analyzing model behavior and developing methods that might help make RAG… See the full description on the dataset page: https://huggingface.co/datasets/F4biian/RAGognize.textquestion-answering1K<n<10K0 likes795 downloads6mo agoHugging Face21jinulee-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 likes795 downloads8d agoHugging Face22rag-datasets /rag-mini-bioasqSee here for an updated version without nans in text-corpus. In this huggingface discussion you can share what you used the dataset for. Derives from http://participants-area.bioasq.org/Tasks/11b/trainingDataset/ we generated our own subset using generate.py. textquestion-answering10K<n<100K47 likes762 downloads2y agoHugging Face23code-rag-bench /github-repos-pythonThe Github repository retrieval source for [code-rag-bench], containing all Python files from the entire GitHub dump (in github-repos) text100K<n<1M2 likes666 downloads2y agoHugging Face24rl-rag /hle_rlvr_no_prompttextn<1K0 likes608 downloads1y agoHugging Face25isaacus /legal-rag-bench Legal RAG Bench ‍⚖️ Legal RAG Bench by Isaacus is a reasoning-intensive benchmark for assessing the end-to-end, real-world performance of production-grade legal RAG systems. Legal RAG Bench is composed of 4,876 passages sampled from the Judicial College of Victoria’s Criminal Charge Book alongside 100 complex, handwritten questions demanding expert-level knowledge of Victorian criminal law and procedure to be answered correctly. Legal RAG Bench is the first open dataset for the… See the full description on the dataset page: https://huggingface.co/datasets/isaacus/legal-rag-bench.texttext-retrieval1K<n<10K26 likes593 downloads7mo agoHugging Face26jenhsia /raggedtext100M<n<1B2 likes575 downloads3y agoHugging Face27vuduylinh150804 /vietmed-rag-dataset ViMedGraph ViMedGraph is a Vietnamese medical GraphRAG resource released together with the paper: Adaptive Directed Graph Retrieval for Graph-Based Retrieval-Augmented Generation The dataset is designed to support research on: Graph-based Retrieval-Augmented Generation (GraphRAG) Medical Question Answering Information Retrieval Knowledge Graph Construction Retrieval Evaluation Low-Resource Language NLP ViMedGraph provides a structured Vietnamese medical knowledge resource… See the full description on the dataset page: https://huggingface.co/datasets/vuduylinh150804/vietmed-rag-dataset.textquestion-answering100K<n<1M0 likes560 downloads4mo agoHugging Face28code-rag-bench /github-reposThe entire dump of GitHub repositories. text100K<n<1M3 likes557 downloads2y agoHugging Face29rl-rag /hle-gpt-oss-120b-with-python-260222 hle-gpt-oss-120b-with-python-260222 Deep research agent evaluation on unknown. Results Metric Value pass@4 39.5% avg@4 17.5% Trajectory accuracy 17.4% (1860/10660) Questions 1350 Trajectories 10660 (4 per question) Avg tool calls 0.0 Full conversations ❌ Model & Setup Model unknown Judge gpt-4o Max tool calls 50 Temperature 0.7 Blocked domainsNone Tool Usage Tool Calls %… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/hle-gpt-oss-120b-with-python-260222.tabular10K<n<100K0 likes549 downloads8mo agoHugging Face30rl-rag /browsecomp-oss-env-high-effort-gpt-oss-120b browsecomp-oss-env-high-effort-gpt-oss-120b Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@1 19.4% avg@1 19.4% Trajectory accuracy 19.4% (245/1266) Questions 1266 Trajectories 1266 (1 per question) Avg tool calls 52.5 Full conversations ✅ Model & Setup Model gpt-oss-120b Judge gpt-4o Max tool calls 100 Temperature 0.7 Blocked domains huggingface.co… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-oss-env-high-effort-gpt-oss-120b.tabular1K<n<10K0 likes546 downloads7mo agoHugging Face

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