Update README.md

README.md

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 EDINET-Bench is a comprehensive financial benchmark built from the securities reports of publicly listed companies in Japan, sourced from [EDINET](https://disclosure2.edinet-fsa.go.jp/).
 It includes challenging tasks such as accounting fraud detection, earnings forecasting, and industry prediction—problems that require sophisticated financial reasoning.
 
-## Acounting fraud detection
+
+## Dataset Construction
+
+<img src="EDINET-Bench.png" alt="Overview of EDINET-Bench" width="50%"/>
+
+EDINET-Bench is built by downloading the past 10 years of annual reports from Japanese listed companies on EDINET and automatically annotating labels for each task. For detailed implementation.
+The complete dataset construction pipeline is available at https://github.com/SakanaAI/edinet2dataset.
+
+## How to Use
+
+Each task contains (Annual report, Label) pairs.
+Each report includes pre-extracted information such as the EDINET Code and DOC ID associated with the report, along with data sections (META, BS, CF, PL, Summary, and Text).
+
+- Acounting fraud detection
+
+The label is either fraud (1) or non-fraud (0).
 
 ```
 ds = load_dataset("SakanaAI/EDINET-Bench", "fraud_detection")
 ```
 
-## Earnings forecast
+- Earnings forecast
 
+The label is either increase (1) or not (0).
 ```
 ds = load_dataset("SakanaAI/EDINET-Bench", "earnings_forecast")
 ```
 
-## Industry prediction
+- Industry prediction
 
+The label is one of 17 industry names.
 ```
 ds = load_dataset("SakanaAI/EDINET-Bench", "industry_prediction")
 ```
 
+## Limitations
+
+Mislabeling: For the Accounting Fraud Detection task, the fraud labels are determined by feeding the text information from the correction reports into Claude Sonnet 3.7, which classifies whether the correction is related to fraud.
+As a result, there is a possibility of false positives. Additionally, for non-fraud cases, there may be instances that actually involve fraud but have not yet been identified.
+
+## LICENSE
+
+EDINET-Bench is released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/deed.en).
 
 ## References
 - EDINET, https://disclosure2.edinet-fsa.go.jp/