Context stringlengths 165k 1.6M | Question stringlengths 30 259 | Program stringlengths 0 560 | Answer stringlengths 1 99 |
|---|---|---|---|
"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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