metadata
pretty_name: Yourbench Simple Example 2 Test
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: 636935
num_examples: 1
download_size: 249215
dataset_size: 636935
- 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: 78760
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: 1835439
num_examples: 11
download_size: 116606
dataset_size: 1835439
- 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: 202281
num_examples: 11
download_size: 21694
dataset_size: 202281
- 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: 135269
num_examples: 1
download_size: 87034
dataset_size: 135269
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-*
Yourbench Simple Example 2 Test
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:
hf_configuration:
hf_dataset_name: yourbench-simple-example-2-test
hf_organization: $HF_ORGANISATION
hf_token: $HF_TOKEN
model_list:
- model_name: openai/gpt-oss-120b
base_url: http://us-east-1.sumuk.org:9100/cai5.neon-pentatonic.ts.net/30000/v1/
api_key: $API_KEY
pipeline:
ingestion:
source_documents_dir: example/default_example/data
output_dir: example/default_example/processed
summarization: {}
chunking: {}
single_shot_question_generation: {}
prepare_lighteval: {}
debug: true
(This dataset card was automatically generated by YourBench)