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pretty_name: Yourbench Simple Example
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:
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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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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
struct:
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dtype: int64
splits:
- name: train
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download_size: 78167
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
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- name: question_category
dtype: string
- name: kind
dtype: string
- name: estimated_difficulty
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- name: citations
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dtype: string
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dtype: string
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dtype: string
- name: document_summary
dtype: string
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dataset_size: 10185171
- config_name: single_hop_questions
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dtype: string
- name: question
dtype: string
- name: self_answer
dtype: string
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dtype: int64
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dtype: string
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dtype: string
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list: string
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download_size: 67129
dataset_size: 984497
- config_name: summarized
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dtype: string
- name: document_text
dtype: string
- name: document_filename
dtype: string
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dtype: int64
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dtype: string
- name: summarization_model
dtype: string
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num_examples: 1
download_size: 89153
dataset_size: 135734
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)* |