README.md

---
pretty_name: Yourbench Test Openrouter
dataset_info:
- config_name: chunked
  features:
  - name: document_id
    dtype: string
  - name: document_text
    dtype: string
  - name: document_filename
    dtype: string
  - 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
  splits:
  - name: train
    num_bytes: 634942
    num_examples: 1
  download_size: 251539
  dataset_size: 634942
- config_name: ingested
  features:
  - name: document_id
    dtype: string
  - name: document_text
    dtype: string
  - name: document_filename
    dtype: string
  - name: document_metadata
    struct:
    - name: file_size
      dtype: int64
  splits:
  - name: train
    num_bytes: 133617
    num_examples: 1
  download_size: 78968
  dataset_size: 133617
- 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
    dtype: string
  - name: chunk_ids
    list: string
  - name: question_generating_model
    dtype: string
  - name: chunks
    list: string
  - name: document
    dtype: string
  - name: document_summary
    dtype: string
  splits:
  - name: train
    num_bytes: 4074915
    num_examples: 25
  download_size: 189794
  dataset_size: 4074915
- config_name: single_shot_questions
  features:
  - name: document_id
    dtype: string
  - name: additional_instructions
    dtype: string
  - name: question
    dtype: string
  - name: self_answer
    dtype: string
  - name: estimated_difficulty
    dtype: int64
  - name: self_assessed_question_type
    dtype: string
  - name: generating_model
    dtype: string
  - name: thought_process
    dtype: string
  - name: raw_response
    dtype: string
  - name: citations
    list: string
  - name: original_question
    dtype: 'null'
  - name: question_rewriting_model
    dtype: 'null'
  - name: question_rewriting_rationale
    dtype: 'null'
  - name: raw_question_rewriting_response
    dtype: 'null'
  - name: chunk_id
    dtype: string
  splits:
  - name: train
    num_bytes: 174381
    num_examples: 25
  download_size: 34179
  dataset_size: 174381
- config_name: summarized
  features:
  - name: document_id
    dtype: string
  - name: document_text
    dtype: string
  - name: document_filename
    dtype: string
  - name: document_metadata
    struct:
    - name: file_size
      dtype: int64
  - name: document_summary
    dtype: string
  - name: summarization_model
    dtype: string
  splits:
  - name: train
    num_bytes: 135173
    num_examples: 1
  download_size: 87264
  dataset_size: 135173
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_shot_questions
  data_files:
  - split: train
    path: single_shot_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 Test Openrouter

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
- **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_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:

```yaml
hf_configuration:
  hf_dataset_name: yourbench-test-openrouter
  hf_organization: Tooru-Tooru
  hf_token: $HF_TOKEN
  local_dataset_dir: data/saved_dataset
  jsonl_export_dir: data/jsonl_export
pipeline_config:
  ingestion:
    source_documents_dir: data/raw
    output_dir: data/processed
    pdf_llm_prompt: yourbench/prompts/ingestion/pdf_llm_prompt.md
  summarization:
    summarization_user_prompt: yourbench/prompts/summarization/summarization_user_prompt.md
    combine_summaries_user_prompt: yourbench/prompts/summarization/combine_summaries_user_prompt.md
  chunking: {}
  single_shot_question_generation:
    single_shot_system_prompt: yourbench/prompts/question_generation/single_shot_system_prompt.md
    single_shot_system_prompt_multi: yourbench/prompts/question_generation/single_shot_system_prompt_multi.md
    single_shot_user_prompt: yourbench/prompts/question_generation/single_shot_user_prompt.md
  prepare_lighteval: {}

```

*(This dataset card was automatically generated by YourBench)*