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README.md

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+---
+license: cc-by-4.0
+task_categories:
+- table-question-answering
+- feature-extraction
+- text-generation
+- summarization
+language:
+- id
+- en
+tags:
+- finance
+- indonesia
+- idx
+- stock-market
+- financial-statements
+- excel-parsing
+- fundamental-analysis
+- accounting
+---
+
+# IDX_Financial_Statements_Excel
+
+This repository contains a comprehensive collection of financial statement data from public companies listed on the **Indonesia Stock Exchange (IDX)**. The data is structured to facilitate automated financial analysis, trend monitoring, and the training of machine learning models for the Indonesian capital market.
+
+## Dataset Overview
+
+The dataset provides structured access to the primary components of corporate financial reporting:
+- **Statement of Financial Position** (Neraca)
+- **Statement of Comprehensive Income** (Laporan Laba Rugi)
+- **Statement of Cash Flows** (Laporan Arus Kas)
+- **Statement of Changes in Equity** (Laporan Perubahan Ekuitas)
+
+The data originates from Excel-based reporting submissions, which have been processed into a format suitable for computational use while maintaining the integrity of the original accounting figures.
+
+## Key Features
+
+- **Standardized Labels**: Mapping of various Indonesian accounting terms to standardized fields for easier cross-company comparison.
+- **Multi-Year Coverage**: Historical data allowing for time-series analysis of company performance.
+- **Bilingual Context**: Includes both Indonesian (ID) and English (EN) financial terminology as per IDX reporting standards.
+- **Ready for RAG**: Optimized for Financial RAG (Retrieval-Augmented Generation) where users can ask complex questions about a company's debt-to-equity ratio, revenue growth, or liquidity.
+
+## Use Cases
+
+1. **Automated Fundamental Analysis**: Calculate financial ratios (PER, PBV, ROE, DER) automatically across the entire IDX universe.
+2. **Financial Chatbots**: Power AI assistants that can answer specific questions like *"Berapa laba bersih PT Telkom pada tahun 2023?"*
+3. **Anomaly Detection**: Identify unusual accounting patterns or outliers in financial reporting.
+4. **Investment Research**: Data sourcing for quantitative investment strategies and equity research reports.
+
+## Data Schema
+
+The dataset typically includes:
+- `ticker`: The 4-letter company stock code (e.g., BBCA, TLKM).
+- `period`: The reporting period (e.g., FY 2023, Q1 2024).
+- `account_name`: The specific line item (e.g., Total Assets, Net Profit).
+- `value`: The numerical amount recorded.
+- `currency`: Usually IDR (Rupiah).
+
+## License
+
+This dataset is licensed under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). You are free to share, copy, and adapt the data for commercial and non-commercial purposes, provided you give appropriate credit to the source.
+
+## Disclaimer
+
+This dataset is intended for educational and research purposes. While efforts are made to ensure data accuracy, users should verify critical financial information against official disclosures on the [IDX Website](https://www.idx.co.id).
+
+---