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Upload README.md with huggingface_hub

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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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+
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+ # Yourbench Simple Example
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+
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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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+
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+ ## Pipeline Steps
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+
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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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+
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+ ## Reproducibility
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+
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+ To reproduce this dataset, use YourBench v0.9.0 with the following configuration:
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+
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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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+ ```
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+
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+ *(This dataset card was automatically generated by YourBench)*