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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 Do not cite numbers from this repository until the status line says complete.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 Face06rl-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 Face07rl-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 Face08rl-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 Face09lightblue /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 Face10rl-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 Face11rl-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 Face12SZLHOLDINGS /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 Face13rl-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 Face14rl-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 Face15golaxy /rag-bench Dataset card for RAG-BENCH Data Summary RAG-bench aims to provide results of many commonly used RAG datasets. All the results in this dataset are evaluated by the RAG evaluation tool Rageval, which could be easily reproduced with the tool. Currently, we have provided the results of ASQA dataset,ELI5 dataset and HotPotQA dataset. Data Instance ASQA { "ambiguous_question":"Who is the original artist of sound of silence?", "qa_pairs":[{… See the full description on the dataset page: https://huggingface.co/datasets/golaxy/rag-bench.tabular10K<n<100K3 likes403 downloads2y agoHugging Face16saksornr /fineweb-10bt-weborganizer-sigir-dota-rag FineWeb-10BT with WebOrganizer Labels for DoTA-RAG Dataset · DoTA-RAG paper · Project page This dataset is a labeled version of the FineWeb-10BT web corpus used as the document collection in DoTA-RAG: Dynamic of Thought Aggregation RAG. It contains 14,868,862 English-language documents in one train split. Each document retains its FineWeb text and provenance fields and adds a predicted topic and document format from WebOrganizer. The published Parquet files total 30.7 GB to… See the full description on the dataset page: https://huggingface.co/datasets/saksornr/fineweb-10bt-weborganizer-sigir-dota-rag.tabulartext-retrieval10M<n<100M1 likes354 downloads11d agoHugging Face17rl-rag /browsecomp-qwen35-35b-a3b-nothink browsecomp-qwen35-35b-a3b-nothink Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@4 32.3% avg@4 16.4% Trajectory accuracy 16.4% (830/5064) Questions 1266 Trajectories 5064 (4 per question) Avg tool calls 36.2 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-nothink.tabular1K<n<10K0 likes328 downloads7mo agoHugging Face18botay /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 likes328 downloads6mo agoHugging Face19jknafou /trec-ragtime-2026 TREC RAGTIME 2026 — sentence and passage renderings A sentence-level view of the TREC RAGTIME 2026 news collection, with two English machine translations of every non-English sentence and the passage boundaries used for retrieval. Derived from trec-ragtime/ragtime2. Pipeline, experiment design, run configurations and reproduction steps: github.com/jknafou/trec-ragtime-2026 What is in here Config Splits Rows Contents sentences eng, spa, rus, zho 88,719… See the full description on the dataset page: https://huggingface.co/datasets/jknafou/trec-ragtime-2026.tabulartext-retrieval100M<n<1B0 likes274 downloads2mo agoHugging Face20llmware /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<1K59 likes263 downloads3y agoHugging Face21G4KMU /ragtopia_oldtabular100K<n<1M0 likes256 downloads11mo agoHugging Face22Toivo0 /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 likes254 downloads2mo agoHugging Face23G4KMU /t2-ragbench-splitstabular10K<n<100K0 likes247 downloads1y agoHugging Face24ValerianFourel /ragdag-results RAGDAG results Artefacts from RAGDAG - treating a multi-stage retrieval pipeline as a structural causal model and computing path-specific effects exactly by freezing stages, rather than estimating them. Code: https://github.com/ValerianFourel/RAGDAG Layout One directory per collection, named after its ir_datasets id: <dataset-tag>/ REPORT.md human-readable report incl. the PASS/FAIL verdict MANIFEST.json provenance: git SHA, code… See the full description on the dataset page: https://huggingface.co/datasets/ValerianFourel/ragdag-results.image1M<n<10M0 likes247 downloads2mo agoHugging Face25marin-dna /zoonomia-rag-v1-v1 bolinas-dna/zoonomia-rag-v1-v1 Fixed-layout 2,048-token documents built from conservation-filtered GRCh38 255-base anchors, seven fixed Zoonomia mammalian ortholog slots, and a final human slot. Missing non-human projections are filled with 255 N bases; chromosome 18 is validation-only. Produced by the commit-pinned issue #402 RAG pipeline. The immutable upstream input is the existing Zoonomia v1 min0.20/all_species_with_sequence.parquet projection. No halLiftover was run for… See the full description on the dataset page: https://huggingface.co/datasets/marin-dna/zoonomia-rag-v1-v1.tabular1M<n<10M0 likes240 downloads3mo agoHugging Face26grasson /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 likes236 downloads6mo agoHugging Face27OdiaGenAI /RAG_Evaluation_Datasettabular1K<n<10K0 likes206 downloads3y agoHugging Face28Vikhrmodels /Grounded-RAG-RU-v2 Датасет для алайнмента (граундинга) способности LLM отвечать на вопросы по документам (RAG) Этот датасет был собран на основе 13к разных статей из русской Википедии с помошью синтетических вопросов и ответов gpt-4-turbo-1106. Датасет содержит 4047 уникальных кластеров, т.е. комбинаций из документов - улосвная симуляция "найденных результатов" в Retrieval системе. Подробнее описано в разделе "Общие этапы сборки этого датасета". Общий объем датасета - 50210 уникальных диалогов. В… See the full description on the dataset page: https://huggingface.co/datasets/Vikhrmodels/Grounded-RAG-RU-v2.tabular10K<n<100K24 likes204 downloads2y agoHugging Face29wuc1 /full-fold-the-rag-parquet-merged0222tabular100K<n<1M0 likes197 downloads7mo agoHugging Face30flowaicom /RAGTruth_test RAGTruth test set Dataset Test split of RAGTruth dataset by ParticleMedia available from https://github.com/ParticleMedia/RAGTruth/tree/main/dataset The dataset was published in RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models Preprocessing We kept only the test split of the original dataset Joined response and source info files Created the response level hallucination labels as described in the paper using binary… See the full description on the dataset page: https://huggingface.co/datasets/flowaicom/RAGTruth_test.tabular1K<n<10K1 likes186 downloads2y agoHugging Face

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