document_id string | document_text string | document_filename string | document_metadata dict | document_summary string | summarization_model string | chunks list | multihop_chunks list |
|---|---|---|---|---|---|---|---|
93c6fc5e-709d-4d28-a84a-0fdf86876846 | "5\n2\n0\n2\n\nr\np\nA\n2\n\n]\nL\nC\n.\ns\nc\n[\n\n1\nv\n3\n3\n8\n1\n0\n.\n4\n0\n5\n2\n:\nv\ni\nX\n(...TRUNCATED) | yourbench_arxiv_paper.md | {
"file_size": 133539
} | "YourBench is an open-source framework designed to overcome the limitations of static benchmarks—s(...TRUNCATED) | Qwen3-235B | [{"chunk_id":"93c6fc5e-709d-4d28-a84a-0fdf86876846_0","chunk_text":"5\n2\n0\n2\n\nr\np\nA\n2\n\n]\nL(...TRUNCATED) | [{"chunk_ids":["93c6fc5e-709d-4d28-a84a-0fdf86876846_0","93c6fc5e-709d-4d28-a84a-0fdf86876846_1"],"c(...TRUNCATED) |
Yourbench Simple Example
This dataset was generated using YourBench (v0.9.0), an open-source framework for generating domain-specific benchmarks from document collections.
Pipeline Steps
- ingestion: Read raw source documents, convert them to normalized markdown and save for downstream steps
- summarization: Perform hierarchical summarization: chunk-level LLM summaries followed by combine-stage reduction
- chunking: Split texts into token-based single-hop and multi-hop chunks
- single_hop_question_generation: Generate standalone question-answer pairs per chunk using LLM
Reproducibility
To reproduce this dataset, use YourBench v0.9.0 with the following configuration:
hf_configuration:
hf_dataset_name: yourbench-simple-example
hf_organization: $HF_ORGANISATION
push_to_hub: true
model_list:
- model_name: Qwen3-235B
base_url: https://api.sambanova.ai/v1
api_key: $API_KEY
max_concurrent_requests: 128
pipeline:
ingestion:
source_documents_dir: example/default_example/data
output_dir: example/default_example/processed
supported_file_extensions:
- .md
- .txt
- .pdf
summarization: {}
chunking: {}
single_hop_question_generation:
chunk_sampling:
enable: false
num_samples: 100
strategy: random
random_seed: 42
prepare_lighteval:
single_hop_subset: single_hop_questions
multi_hop_subset: multi_hop_questions
cross_doc_subset: cross_document_questions
chunked_subset: chunked
summarized_subset: summarized
output_subset: prepared_lighteval
(This dataset card was automatically generated by YourBench)
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