Update README.md

README.md

@@ -47,12 +47,40 @@ dataset_info:
   download_size: 121089
   dataset_size: 186908
 configs:
-- config_name: corpus
-  data_files:
-  - split: train
-    path: corpus/train-*
 - config_name: qa
   data_files:
   - split: train
     path: qa/train-*
+- config_name: corpus
+  data_files:
+  - split: train
+    path: corpus/train-*
+
 ---
+
+## AutoRAG evaluation dataset 
+
+### Made with 2024 LLM resesarch articles (papers)
+
+This dataset is an example for [AutoRAG](https://github.com/Marker-Inc-Korea/AutoRAG).
+You can directly use this dataset for optimizng and benchmarking your RAG setup in AutoRAG.
+
+### How this dataset created?
+
+This dataset is 100% synthetically generated by GPT-4 and `Marker Inc.` technology.
+
+At first, we collected 110 latest LLM papers at arxiv. 
+We used `Marker` OCR model to extract texts.
+And chunk it using MarkdownSplitter and TokenSplitter from Langchain.
+For more quality, we delete all `References` in the research articles.
+And then, it randomly select 520 passages from chunked corpus for generating question.
+At last, our custom pipeline generates various and unique questions with GPT-4. 
+
+
+## Acknowledgements
+
+This dataset's corpus is originated various LLM related research articles on arixv.
+Marker Inc. do not have copyright or any rights about corpus content itself.
+
+Plus, this is a alpha version of our evaluation data generation pipeline without human verification, so its quality might be lower than human-generated dataset.
+