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README.md
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- n<1K
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---
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# IndFin-Bench: A Benchmark Grounded in Indian Financial Filings
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**IndFin-Bench** is a benchmark of 100 hand-curated questions sourced from the corporate filings of Indian listed companies. It is designed to evaluate how accurately LLMs can retrieve and reason over India-specific financial data.
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Existing financial benchmarks like [FinBen](https://github.com/The-FinAI/FinBen) and [FinQA](https://github.com/czyssrs/FinQA) are built on US market data — SEC filings, 10-K reports, and earnings calls from American corporations. **IndFin-Bench fills this gap for the Indian market**, covering the Ind AS accounting landscape, SEBI disclosure formats, and cross-company reasoning over BSE/NSE-listed equities.
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---
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## Dataset Summary
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| **License** | CC-BY-NC 4.0 (with additional restrictions; see below) |
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---
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## Schema
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| Field | Description |
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| `Atomic_Fact` | Verified ground truth answer, sourced directly from official filings |
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---
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## Complexity Levels
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| Category | Questions | What it tests |
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| Multi-Company, Single Fact | 9 | Retrieve comparable figures across companies and perform comparison |
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---
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## Usage
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```python
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ds = load_dataset("CompoundingAI/IndFin-Bench")
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```
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---
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## Ground Truth
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Each question has a corresponding **Atomic Fact** — a precise, minimal statement of the correct answer derived directly from official company filings. Every atomic fact has been manually verified against primary filings.
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---
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## Intended Use & Restrictions
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This dataset is released under the **Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0)** license.
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size_categories:
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- n<1K
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---
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# IndFin-Bench: A Benchmark Grounded in Indian Financial Filings
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**IndFin-Bench** is a benchmark of 100 hand-curated questions sourced from the corporate filings of Indian listed companies. It is designed to evaluate how accurately LLMs can retrieve and reason over India-specific financial data.
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Existing financial benchmarks like [FinBen](https://github.com/The-FinAI/FinBen) and [FinQA](https://github.com/czyssrs/FinQA) are built on US market data — SEC filings, 10-K reports, and earnings calls from American corporations. **IndFin-Bench fills this gap for the Indian market**, covering the Ind AS accounting landscape, SEBI disclosure formats, and cross-company reasoning over BSE/NSE-listed equities.
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---
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## Dataset Summary
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| **License** | CC-BY-NC 4.0 (with additional restrictions; see below) |
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---
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## Schema
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| Field | Description |
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| `Atomic_Fact` | Verified ground truth answer, sourced directly from official filings |
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---
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## Complexity Levels
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| Category | Questions | What it tests |
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| Multi-Company, Single Fact | 9 | Retrieve comparable figures across companies and perform comparison |
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---
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## Usage
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```python
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ds = load_dataset("CompoundingAI/IndFin-Bench")
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```
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---
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## Ground Truth
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Each question has a corresponding **Atomic Fact** — a precise, minimal statement of the correct answer derived directly from official company filings. Every atomic fact has been manually verified against primary filings.
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---
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## Intended Use & Restrictions
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This dataset is released under the **Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0)** license.
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