Datasets:

CompoundingAI
/

IndFin-Bench

license: cc-by-nc-4.0
task_categories:
  - question-answering
language:
  - en
tags:
  - finance
  - indian-finance
  - benchmark
  - financial-qa
  - llm-evaluation
pretty_name: IndFin-Bench
size_categories:
  - n<1K

IndFin-Bench: A Benchmark Grounded in Indian Financial Filings

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.

Existing financial benchmarks like FinBen and 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.

Dataset Summary


Questions	100
Companies	100+ Indian listed firms
Coverage	FY23 - FY26
Source	Annual reports, quarterly filings, investor presentations, BSE/NSE disclosures
License	CC-BY-NC 4.0 (with additional restrictions; see below)

Schema

Field	Description
`Question_Num`	Unique identifier for the question
`Question`	Natural-language financial query grounded in official filings
`Complexity_Category`	4-tier taxonomy from single-company single-fact to multi-company multi-fact
`Atomic_Fact`	Verified ground truth answer, sourced directly from official filings

Complexity Levels

Category	Questions	What it tests
Single-Company, Single Fact	38	Retrieve one specific figure from one company's filing
Single-Company, Multiple Facts	33	Retrieve and synthesise multiple data points from a single company
Multi-Company, Multiple Facts	20	Compare or derive metrics across multiple companies
Multi-Company, Single Fact	9	Retrieve comparable figures across companies and perform comparison

Usage

from datasets import load_dataset

ds = load_dataset("CompoundingAI/IndFin-Bench")

Ground Truth

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.

Intended Use & Restrictions

This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) license.

IndFin-Bench is strictly intended for evaluation and benchmarking of language models on Indian financial data.

Typical allowed use cases include:

Evaluating LLM performance on financial question answering
Benchmarking retrieval-augmented generation (RAG) systems
Comparing model accuracy across different complexity tiers

Use of this dataset implies agreement with the following restrictions:

The dataset must not be used for training, fine-tuning, or improving any machine learning or AI models.
This includes (but is not limited to):
- Supervised training
- Fine-tuning or instruction tuning
- Reinforcement learning (RL / RLHF)
- Retrieval-augmented training pipelines
- Synthetic data generation derived from this dataset
The dataset must be used only for evaluation purposes and not as a training corpus.

Citation

If you use IndFin-Bench in your work, please cite:

@dataset{compoundingai2026indfinbench,
  title={IndFin-Bench: A Pioneering Benchmark Grounded in Indian Financial Filings},
  author={CompoundingAI},
  year={2026},
  url={https://huggingface.co/datasets/CompoundingAI/IndFin-Bench},
  license={CC-BY-NC-4.0}
}