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README.md

@@ -1,4 +1,5 @@
 ---
+pretty_name: Yourbench Simple Example 2 Test
 dataset_info:
 - config_name: chunked
   features:
@@ -172,3 +173,43 @@ configs:
   - 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 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:
+
+```yaml
+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)*