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"Table\tof\tContents\n\n# UNITED\tSTATES\n\n# SECURITIES\tAND\tEXCHANGE\tCOMMISSION\n\n# (Mark\tOne)(...TRUNCATED)
what is the net change in net revenue during 2015 for entergy corporation?
" net_revenue_2015 = 5829\n net_revenue_2014 = 5735\n net_revenue_change = net_revenue_2015 - net_(...TRUNCATED)
94
"# UNITED\tSTATES\tSECURITIES\tAND\tEXCHANGE\tCOMMISSION\n\n# (Mark\tOne)\n\n# ANNUAL\tREPORT\tPURSU(...TRUNCATED)
what percentage of total facilities as measured in square feet are leased?
14%
"# UNITED\tSTATES\n\n# SECURITIES\tAND\tEXCHANGE\tCOMMISSION\n\n# (Mark\tOne)\n\nþ ANNUAL\tREPORT\t(...TRUNCATED)
what is the percentage change in cash flow hedges in 2011 compare to the 2010?
"cash_flow_hedge_increase = 153.7\ncash_flow_hedge_decrease = 139.9\nincrease = cash_flow_hedge_incr(...TRUNCATED)
9.9%
"Table\tof\tContents\n\n# UNITED\tSTATES\tSECURITIES\tAND\tEXCHANGE\tCOMMISSION\n\n# \t ANNUAL\tREPO(...TRUNCATED)
what portion of total purchase price is related to stock awards?
"metavante_shares = 121.4\nmetavante_value = 4066.4\npurchase_price = metavante_value + metavante_sh(...TRUNCATED)
2.9%
"Table\tof\tContents\n\n# UNITED\tSTATES\tSECURITIES\tAND\tEXCHANGE\tCOMMISSION\n\n(Mark\tOne)\n\n# (...TRUNCATED)
"what was the percentage change in total rental expense under operating leases from july 2 , 2005 to(...TRUNCATED)
7%
"Table\tof\tContents\n\n# UNITED\tSTATES\n\n# SECURITIES\tAND\tEXCHANGE\tCOMMISSION\n\n# ANNUAL\tREP(...TRUNCATED)
what percent of total recourse debt is current?
"recourse_debt_2011 = 463\nrecourse_debt_total = 4612\npercent_2011 = recourse_debt_2011 / recourse_(...TRUNCATED)
10%
"Table\tof\tContents\n\n# UNITED\tSTATES\tSECURITIES\tAND\tEXCHANGE\tCOMMISSION\n\nANNUAL\tREPORT\tP(...TRUNCATED)
what percentage of future minimum rental payments are due in 2018?
12%
"# Table\tof\tContents\n\n# UNITED\tSTATES\n\n# SECURITIES\tAND\tEXCHANGE\tCOMMISSION\n\n# (Mark\tOn(...TRUNCATED)
what was the change in unrecognized tax benefits from the end of 2014 to the end of 2015?
change_2015 = 1136 - 1171 answer = change_2015
-35
"QuickLinks\t--\tClick\there\tto\trapidly\tnavigate\tthrough\tthis\tdocument\n\n# UNITED\tSTATES\n\n(...TRUNCATED)
what is the growth rate in the balance of standby letters of credit from 2006 to 2007?
"standby_letters_2007 = 4711\nstandby_letters_2006 = 4926\ngrowth_rate = (standby_letters_2007 - sta(...TRUNCATED)
-4.4%
"# Table\tof\tContents\n\n# UNITED\tSTATES\n\n# SECURITIES\tAND\tEXCHANGE\tCOMMISSION\n\n☑ ANNUAL\(...TRUNCATED)
what portion of the total noncancelable future lease commitments are due in fiscal year of 2019?
"commitments_2019 = 137.4\ncommitments_total = 559.3\npercent_commitments = commitments_2019 / commi(...TRUNCATED)
24.6%
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FinBench Test Datasets

Financial QA test datasets for evaluating LLMs on financial reasoning.

Quick Start

from datasets import load_dataset

# Datasets with HF split support
docfinqa = load_dataset("Ayushnangia/finbench-data", "docfinqa", split="test")  # 922 items
docmath = load_dataset("Ayushnangia/finbench-data", "docmath_eval_complong", split="test")  # 300 items

# Datasets with nested structure (load as JSON)
import json
from huggingface_hub import hf_hub_download

finqa_path = hf_hub_download("Ayushnangia/finbench-data", "finqa/test.json", repo_type="dataset")
with open(finqa_path) as f:
    finqa = json.load(f)  # 1,147 items

tatqa_path = hf_hub_download("Ayushnangia/finbench-data", "tatqa/tatqa_dataset_test_gold.json", repo_type="dataset")
with open(tatqa_path) as f:
    tatqa = json.load(f)  # 277 items with answers

Datasets

Dataset Config Items Method
DocFinQA docfinqa 922 load_dataset()
DocMath (complex long) docmath_eval_complong 300 load_dataset()
DocMath (complex short) docmath_eval_compshort 200 load_dataset()
DocMath (simple long) docmath_eval_simplong 100 load_dataset()
DocMath (simple short) docmath_eval_simpshort 200 load_dataset()
FinQA - 1,147 JSON download
TAT-QA - 277 JSON download

CLI Download

huggingface-cli download Ayushnangia/finbench-data --local-dir data --repo-type dataset

Files

data/
├── docfinqa/test.json                (922 items)
├── finqa/test.json                   (1,147 items)
├── tatqa/tatqa_dataset_test_gold.json (277 items with answers)
└── docmath_eval/
    ├── complong_testmini.json  (300 items)
    ├── compshort_testmini.json (200 items)
    ├── simplong_testmini.json  (100 items)
    └── simpshort_testmini.json (200 items)

Sources

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