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AI & LLM

RAG Evaluation Benchmark — Enterprise Documents

12,400 questions over real enterprise documents with gold passages, hard negatives and unanswerable cases.

12.4K questions · 480K passagesStatic release (v2026.1)JSONL, Parquet
Records
12.4K questions · 480K passages
Size
≈ 2.1 GB
Formats
JSONL, Parquet
Coverage
Policies, manuals, annual reports, tenders · EN, DE, FR

Teams building retrieval-augmented systems usually evaluate on academic question-answering sets that look nothing like their own documents. This benchmark is built from publicly available enterprise material — policies, product manuals, annual reports and tender documents — chunked into 480,000 passages.

Every question carries its gold passages, a set of deliberately hard negatives that look relevant but are not, and a difficulty label. Around 15% of questions are unanswerable from the corpus, so you can measure whether your system refuses instead of inventing an answer.

Schema

FieldTypeDescription
question_id string Unique identifier
question string Natural-language question
question_type string factoid, multi_hop, numeric, procedural
answer string Reference answer (empty when unanswerable)
gold_passage_ids array Passages that support the answer
hard_negative_ids array Similar passages that do not answer it
is_unanswerable boolean Answer is not in the corpus
document_id / document_type string Source document and its class
language string en, de or fr
difficulty string easy, medium or hard
annotator_agreement decimal Agreement score, 0–1

Sample rows

sample.jsonl
{
    "question_id": "Q-004412",
    "question": "How many days of notice are required to terminate the maintenance contract?",
    "question_type": "factoid",
    "answer": "30 days written notice",
    "gold_passage_ids": [
        "P-118822"
    ],
    "hard_negative_ids": [
        "P-118820",
        "P-119004"
    ],
    "is_unanswerable": false,
    "document_type": "contract",
    "language": "en",
    "difficulty": "medium",
    "annotator_agreement": 0.96
}
{
    "question_id": "Q-004413",
    "question": "What was the CEO's bonus in 2019?",
    "question_type": "numeric",
    "answer": "",
    "gold_passage_ids": [],
    "hard_negative_ids": [
        "P-220110"
    ],
    "is_unanswerable": true,
    "document_type": "annual_report",
    "language": "en",
    "difficulty": "hard",
    "annotator_agreement": 0.91
}

Illustrative sample showing the structure of the data. The full dataset is delivered after purchase.

Popular use cases

  • Benchmarking retrievers and rerankers
  • Measuring hallucination and refusal quality
  • Chunking and embedding experiments
  • Regression tests for RAG pipelines

Delivery & licence

Delivery
Delivered within 24 hours via a secure download link sent to your email and customer account.
Licence
Internal business use licence — see Terms and Conditions
Refunds
Covered by our Refund & Cancellation Policy
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