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Datasets:
TheFinAI
/
FinRE

Tasks:
Text Classification
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
< 1K
ArXiv:
Tags:
finance
auditing
xbrl
gaap
llm
benchmark
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
 Community
1
Dataset Viewer
Auto-converted to Parquet Duplicate
query
stringlengths
27.6k
191k
dqc_id
stringclasses
3 values
answer
stringclasses
3 values
choices
listlengths
3
3
gold
int64
0
2
id
int64
0
439
"You are an auditor for XBRL filings. \nGiven two concepts and the provided filing (schema, presentation, calculation, definition, label, instance, and US GAAP taxonomy),\ndetermine which one of the following erroneous relationship types best describes the relationship between the two concepts:\n\n(1) Reversal \n D...
"DQC_US_0001"
"CombinationErr"
[ "Reversal", "Inappropriateness", "CombinationErr" ]
2
0
"\"You are an auditor for XBRL filings. \\nGiven two concepts and the provided filing (schema, prese(...TRUNCATED)
"DQC_US_0001"
"CombinationErr"
[ "Reversal", "Inappropriateness", "CombinationErr" ]
2
1
"\"You are an auditor for XBRL filings. \\nGiven two concepts and the provided filing (schema, prese(...TRUNCATED)
"DQC_US_0081"
"Reversal"
[ "Reversal", "Inappropriateness", "CombinationErr" ]
0
2
"\"You are an auditor for XBRL filings. \\nGiven two concepts and the provided filing (schema, prese(...TRUNCATED)
"DQC_US_0001"
"CombinationErr"
[ "Reversal", "Inappropriateness", "CombinationErr" ]
2
3
"\"You are an auditor for XBRL filings. \\nGiven two concepts and the provided filing (schema, prese(...TRUNCATED)
"DQC_US_0001"
"CombinationErr"
[ "Reversal", "Inappropriateness", "CombinationErr" ]
2
4
"\"You are an auditor for XBRL filings. \\nGiven two concepts and the provided filing (schema, prese(...TRUNCATED)
"DQC_US_0001"
"CombinationErr"
[ "Reversal", "Inappropriateness", "CombinationErr" ]
2
5
"\"You are an auditor for XBRL filings. \\nGiven two concepts and the provided filing (schema, prese(...TRUNCATED)
"DQC_US_0081"
"Reversal"
[ "Reversal", "Inappropriateness", "CombinationErr" ]
0
6
"\"You are an auditor for XBRL filings. \\nGiven two concepts and the provided filing (schema, prese(...TRUNCATED)
"DQC_US_0001"
"CombinationErr"
[ "Reversal", "Inappropriateness", "CombinationErr" ]
2
7
"\"You are an auditor for XBRL filings. \\nGiven two concepts and the provided filing (schema, prese(...TRUNCATED)
"DQC_US_0081"
"Reversal"
[ "Reversal", "Inappropriateness", "CombinationErr" ]
0
8
"\"You are an auditor for XBRL filings. \\nGiven two concepts and the provided filing (schema, prese(...TRUNCATED)
"DQC_US_0081"
"Reversal"
[ "Reversal", "Inappropriateness", "CombinationErr" ]
0
9
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🧾 FinAuditing Benchmark

This dataset is introduced in the paper
FinAuditing: Taxonomy-Grounded Financial Auditing Benchmark for Evaluating Large Language Models
by Yan Wang, Keyi Wang, Shanshan Yang, Jaisal Patel, Jeff Zhao, Fengran Mo, Xueqing Peng, Lingfei Qian, Jimin Huang, Guojun Xiong, Xiao-Yang Liu, and Jian-Yun Nie (2025).
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Collection including TheFinAI/FinRE

Paper for TheFinAI/FinRE