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README.md
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---
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license: mit
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task_categories:
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- table-question-answering
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language:
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- en
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tags:
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- finance
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- 10k
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- agent
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size_categories:
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- 1M<n<10M
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---
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# DDR-Bench: 10-K Financial Data
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This dataset contains structured financial data extracted from SEC 10-K filings.
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## Data Structure
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- **`data/`**: Optimized Parquet files for preview and efficient loading. (Automatically loaded by `load_dataset`)
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- **`raw/10k_financial_data.db`**: The original SQLite database (~1.1GB) for Agent environment simulation.
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## Usage
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```python
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from datasets import load_dataset
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# Load the financial facts table
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ds = load_dataset("thinkwee/DDRBench_10K", data_files="data/financial_facts.parquet")
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```
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