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README.md
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---
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dataset_info:
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- config_name: chunked
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features:
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- split: train
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path: summarized/train-*
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---
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---
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pretty_name: Yourbench Simple Example
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dataset_info:
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- config_name: chunked
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features:
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- split: train
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path: summarized/train-*
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---
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[<img src="https://raw.githubusercontent.com/huggingface/yourbench/main/docs/assets/yourbench-badge-web.png"
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alt="Built with YourBench" width="200" height="32" />](https://github.com/huggingface/yourbench)
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# Yourbench Simple Example
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This dataset was generated using YourBench (v0.9.0), an open-source framework for generating domain-specific benchmarks from document collections.
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## Pipeline Steps
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- **ingestion**: Read raw source documents, convert them to normalized markdown and save for downstream steps
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- **summarization**: Perform hierarchical summarization: chunk-level LLM summaries followed by combine-stage reduction
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- **chunking**: Split texts into token-based single-hop and multi-hop chunks
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- **single_hop_question_generation**: Generate standalone question-answer pairs per chunk using LLM
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## Reproducibility
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To reproduce this dataset, use YourBench v0.9.0 with the following configuration:
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```yaml
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hf_configuration:
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hf_dataset_name: yourbench-simple-example
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hf_organization: $HF_ORGANISATION
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push_to_hub: true
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model_list:
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- model_name: Qwen3-235B
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base_url: https://api.sambanova.ai/v1
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api_key: $API_KEY
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max_concurrent_requests: 128
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pipeline:
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ingestion:
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source_documents_dir: example/default_example/data
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output_dir: example/default_example/processed
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supported_file_extensions:
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- .md
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- .txt
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- .pdf
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summarization: {}
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chunking: {}
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single_hop_question_generation:
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chunk_sampling:
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enable: false
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num_samples: 100
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strategy: random
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random_seed: 42
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prepare_lighteval:
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single_hop_subset: single_hop_questions
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multi_hop_subset: multi_hop_questions
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cross_doc_subset: cross_document_questions
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chunked_subset: chunked
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summarized_subset: summarized
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output_subset: prepared_lighteval
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```
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*(This dataset card was automatically generated by YourBench)*
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