document_id
string | document_text
string | document_filename
string | document_metadata
dict | document_summary
string | summarization_model
string | chunks
list | multihop_chunks
list |
|---|---|---|---|---|---|---|---|
3b32b053-53af-47ab-bae3-4398b46036b8
| "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
}
| "tags. This is the combined paragraph. Ensure natural reading, no redundancy. I will construct.<|end(...TRUNCATED)
|
openai/gpt-oss-20b
| [{"chunk_id":"3b32b053-53af-47ab-bae3-4398b46036b8_0","chunk_text":"5\n2\n0\n2\n\nr\np\nA\n2\n\n]\nL(...TRUNCATED)
| [{"chunk_ids":["3b32b053-53af-47ab-bae3-4398b46036b8_1","3b32b053-53af-47ab-bae3-4398b46036b8_4"],"c(...TRUNCATED)
|
Yourbench Test Default
This dataset was generated using YourBench (v0.6.0), 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
- chunking: Split texts into token-based single-hop and multi-hop chunks
- single_shot_question_generation: Generate standalone question-answer pairs per chunk using LLM
Reproducibility
To reproduce this dataset, use YourBench v0.6.0 with the following configuration:
hf_configuration:
hf_dataset_name: yourbench-test-default
hf_organization: $HF_ORGANISATION
push_to_hub: true
model_list:
- model_name: openai/gpt-oss-20b
base_url: http://us-east-1.sumuk.org:9100/stargate.neon-pentatonic.ts.net/30000/v1
api_key: $API_KEY
pipeline:
ingestion:
source_documents_dir: example/default_example/data
output_dir: data/test_default
supported_file_extensions:
- .md
- .txt
- .pdf
chunking: {}
single_shot_question_generation:
chunk_sampling:
enable: false
num_samples: 100
strategy: random
random_seed: 42
prepare_lighteval:
single_shot_subset: single_shot_questions
multi_hop_subset: multi_hop_questions
cross_doc_subset: cross_document_questions
chunked_subset: chunked
summarized_subset: summarized
output_subset: prepared_lighteval
debug: true
(This dataset card was automatically generated by YourBench)
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