datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
EnterpriseRAG-Bench
EnterpriseRAG-Bench
A benchmark dataset of 500,000+ documents and 500 questions for evaluating RAG systems on realistic enterprise data.
See the latest leaderboard rankings. The paper is available on arXiv. For code, methodology, and evaluation tools, see the GitHub repository.
Overview
Existing RAG and IR datasets focus on publicly accessible document sets (Bing searches, Stack Overflow, etc.). EnterpriseRAG-Bench provides the first publicly accessible dataset… See the full description on the dataset page: https://huggingface.co/datasets/onyx-dot-app/EnterpriseRAG-Bench.enterpriseRAG-extension
EnterpriseRAG Extension for MemOnDemand
This dataset is the 1.14B-token EnterpriseRAG collection used to evaluate
MemOnDemand. It combines the unchanged
EnterpriseRAG-Bench document collection and its 500 evaluation questions with
353,158 newly generated enterprise documents. The resulting corpus contains
865,120 document rows and 1,136,704,992 measured tokens across nine source
types.
The extension is designed as a scale stress test for retrieval and memory
management. It adds… See the full description on the dataset page: https://huggingface.co/datasets/xsong69/enterpriseRAG-extension.EnterpriseRAG-Bench
EnterpriseRAG-Bench
A benchmark dataset of 500,000+ documents and 500 questions for evaluating RAG systems on realistic enterprise data.
See the latest leaderboard rankings. The paper is available on arXiv. For code, methodology, and evaluation tools, see the GitHub repository.
Overview
Existing RAG and IR datasets focus on publicly accessible document sets (Bing searches, Stack Overflow, etc.). EnterpriseRAG-Bench provides the first publicly accessible dataset… See the full description on the dataset page: https://huggingface.co/datasets/SJChen02/EnterpriseRAG-Bench.EnterpriseRAG-Bench
EnterpriseRAG-Bench
A benchmark dataset of 500,000+ documents and 500 questions for evaluating RAG systems on realistic enterprise data.
See the latest leaderboard rankings. The paper is available on arXiv. For code, methodology, and evaluation tools, see the GitHub repository.
Overview
Existing RAG and IR datasets focus on publicly accessible document sets (Bing searches, Stack Overflow, etc.). EnterpriseRAG-Bench provides the first publicly accessible dataset… See the full description on the dataset page: https://huggingface.co/datasets/ingalepratap/EnterpriseRAG-Bench.EnterpriseRAG-Bench
EnterpriseRAG-Bench
A benchmark dataset of 500,000+ documents and 500 questions for evaluating RAG systems on realistic enterprise data.
See the latest leaderboard rankings. The paper is available on arXiv. For code, methodology, and evaluation tools, see the GitHub repository.
Overview
Existing RAG and IR datasets focus on publicly accessible document sets (Bing searches, Stack Overflow, etc.). EnterpriseRAG-Bench provides the first publicly accessible dataset… See the full description on the dataset page: https://huggingface.co/datasets/UCG4879/EnterpriseRAG-Bench.enterprise-rag-questions
shanaka95/enterprise-rag-questions
A focused training corpus for domain-adapted embedding models targeting retrieval over
enterprise documents. Each row is a (doc_id, question) pair where the question is
synthetically generated by an instruction-tuned LLM (Gemma-4-12B-it-qat) from a
corresponding source document.
The dataset is derived from the public benchmark
onyx-dot-app/EnterpriseRAG-Bench.
For each document in the source corpus we generate five diverse, answerable training… See the full description on the dataset page: https://huggingface.co/datasets/shanaka95/enterprise-rag-questions.enterprise-rag-internal-knowledge-search-benchmark-sample
Enterprise RAG and Internal Knowledge Search Benchmark Dataset -- Free Evaluation Sample
This dataset packages a synthetic internal company workspace and an evidence-linked benchmark table into one product for teams building enterprise RAG systems, internal search assistants, knowledge-base copilots, and deep-search evaluation pipelines.
The benchmark is designed around a realistic fictional company, AsteraOps Cloud, with multiple departments, renamed projects, stale roadmaps… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/enterprise-rag-internal-knowledge-search-benchmark-sample.EnterpriseRAG-Bench
EnterpriseRAG-Bench
A benchmark dataset of 500,000+ documents and 500 questions for evaluating RAG systems on realistic enterprise data.
See the latest leaderboard rankings. The paper is available on arXiv. For code, methodology, and evaluation tools, see the GitHub repository.
Overview
Existing RAG and IR datasets focus on publicly accessible document sets (Bing searches, Stack Overflow, etc.). EnterpriseRAG-Bench provides the first publicly accessible dataset… See the full description on the dataset page: https://huggingface.co/datasets/raghav1424/EnterpriseRAG-Bench.EnterpriseRAG-Bench
EnterpriseRAG-Bench
A benchmark dataset of 500,000+ documents and 500 questions for evaluating RAG systems on realistic enterprise data.
See the latest leaderboard rankings. The paper is available on arXiv. For code, methodology, and evaluation tools, see the GitHub repository.
Overview
Existing RAG and IR datasets focus on publicly accessible document sets (Bing searches, Stack Overflow, etc.). EnterpriseRAG-Bench provides the first publicly accessible dataset… See the full description on the dataset page: https://huggingface.co/datasets/Vidhi43/EnterpriseRAG-Bench.EnterpriseRAG-Bench
EnterpriseRAG-Bench
A benchmark dataset of 500,000+ documents and 500 questions for evaluating RAG systems on realistic enterprise data.
See the latest leaderboard rankings. The paper is available on arXiv. For code, methodology, and evaluation tools, see the GitHub repository.
Overview
Existing RAG and IR datasets focus on publicly accessible document sets (Bing searches, Stack Overflow, etc.). EnterpriseRAG-Bench provides the first publicly accessible dataset… See the full description on the dataset page: https://huggingface.co/datasets/shanu485/EnterpriseRAG-Bench.omni-enterprise-rag-bench
Omni EnterpriseRAG-Bench Results
This dataset contains the public verification artifacts for Omni's EnterpriseRAG-Bench full-500 agentic benchmark run.
The benchmark itself is EnterpriseRAG-Bench. This repository does not re-host the full benchmark corpus. It publishes Omni's answer files, evaluation result files, patch manifests, and the merge script needed to verify the reported metrics against the benchmark questions and gold metadata.
Contents
base/: the clean… See the full description on the dataset page: https://huggingface.co/datasets/getomnico/omni-enterprise-rag-bench.enterprise-rag-samples
OrgMind Enterprise Policy Samples
Synthetic organizational policy documents and QA benchmark pairs for OrgMind RAG Studio.
Contents
File
Description
chunks.jsonl
Semantic chunks with page/paragraph citation metadata
qa_pairs.jsonl
Curated questions with expected document + keywords
benchmark_report.json
Reproducible retrieval metrics
eval_results.json
Benchmark summary (no per-row details)
manifest.json
Corpus statistics… See the full description on the dataset page: https://huggingface.co/datasets/alirezaaminzadeh/enterprise-rag-samples.enterprise-rag-internal-knowledge-search-benchmark
Enterprise RAG and Internal Knowledge Search Benchmark Dataset
This dataset packages a synthetic internal company workspace and an evidence-linked benchmark table into one product for teams building enterprise RAG systems, internal search assistants, knowledge-base copilots, and deep-search evaluation pipelines.
The benchmark is designed around a realistic fictional company, AsteraOps Cloud, with multiple departments, renamed projects, stale roadmaps, support escalations… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/enterprise-rag-internal-knowledge-search-benchmark.enterprise-rag-vector-search-2026
⚡ Enterprise RAG, GraphRAG & Vector Search Infrastructure Dataset (2023–2026)
Sample dataset of 30 audit-verified research papers with 384d PyTorch embeddings.
🛒 Full 1,000 Paper B2B Dataset Available on Gumroad
Get the complete 3-year dataset (1,000 papers + GitHub Deep Audit + SQLite/CSV/Parquet + Quickstart Script) on Gumroad:
👉 Get Full 1,000 Dataset on Gumroad ($19 / $39 / $89)
enterpriserag-bench-artifactsrag-enterprise-notesenterprise-rag-index
