README.md

---
pretty_name: Yourbench Simple Example
dataset_info:
- config_name: chunked
  features:
  - name: document_id
    dtype: string
  - name: document_text
    dtype: string
  - name: document_filename
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  - name: document_metadata
    struct:
    - name: file_size
      dtype: int64
  - name: document_summary
    dtype: string
  - name: summarization_model
    dtype: string
  - name: chunks
    list:
    - name: chunk_id
      dtype: string
    - name: chunk_text
      dtype: string
  - name: multihop_chunks
    list:
    - name: chunk_ids
      list: string
    - name: chunks_text
      list: string
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  - name: train
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    num_examples: 1
  download_size: 251811
  dataset_size: 659374
- config_name: ingested
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  - name: document_id
    dtype: string
  - name: document_text
    dtype: string
  - name: document_filename
    dtype: string
  - name: document_metadata
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    - name: file_size
      dtype: int64
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  - name: train
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- config_name: prepared_lighteval
  features:
  - name: question
    dtype: string
  - name: additional_instructions
    dtype: string
  - name: ground_truth_answer
    dtype: string
  - name: gold
    list: string
  - name: choices
    list: 'null'
  - name: question_category
    dtype: string
  - name: kind
    dtype: string
  - name: estimated_difficulty
    dtype: int64
  - name: citations
    list: string
  - name: document_id
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  - name: chunk_ids
    list: string
  - name: question_generating_model
    dtype: string
  - name: chunks
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  - name: document
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  - name: document_summary
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- config_name: single_hop_questions
  features:
  - name: document_id
    dtype: string
  - name: question
    dtype: string
  - name: self_answer
    dtype: string
  - name: estimated_difficulty
    dtype: int64
  - name: generating_model
    dtype: string
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    dtype: string
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    dtype: string
  - name: tags
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- config_name: summarized
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  - name: document_id
    dtype: string
  - name: document_text
    dtype: string
  - name: document_filename
    dtype: string
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  - name: summarization_model
    dtype: string
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configs:
- config_name: chunked
  data_files:
  - split: train
    path: chunked/train-*
- config_name: ingested
  data_files:
  - split: train
    path: ingested/train-*
- config_name: prepared_lighteval
  data_files:
  - split: train
    path: prepared_lighteval/train-*
- config_name: single_hop_questions
  data_files:
  - split: train
    path: single_hop_questions/train-*
- config_name: summarized
  data_files:
  - split: train
    path: summarized/train-*
---
[<img src="https://raw.githubusercontent.com/huggingface/yourbench/main/docs/assets/yourbench-badge-web.png"
     alt="Built with YourBench" width="200" height="32" />](https://github.com/huggingface/yourbench)

# 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:

```yaml
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)*