Datasets:

japan-ai-official
/

edinet-bench-fraud-detection-curated

meta string	summary string	bs string	pl string	cf string	text string	label int64	difficulty_score float64	picker_sample_id int64
{"会社名": "株式会社テクノフレックス", "EDINETコード": "E35294", "ファンドコード": "－", "証券コード": "34490", "提出書類": "有価証券報告書", "会計基準": "Japan GAAP", "当事業年度開始日": "2023-01-01", "当事業年度終了日": "2023-12-31", "連結決算の有無": "true", "修正の有無": "false", "記載事項訂正のフラグ": "false", "XBRL訂正のフラグ": "false"}	{"売上高": {"Prior4Year": "18999763000", "Prior3Year": "18734268000", "Prior2Year": "19633003000", "Prior1Year": "22174025000", "CurrentYear": "21242751000"}, "経常利益": {"Prior4Year": "2437214000", "Prior3Year": "1929501000", "Prior2Year": "2776896000", "Prior1Year": "3060487000", "CurrentYear": "1515898000"}, "親会社株主に帰属する当期...	{"現金及び預金": {"Prior1Year": "6233799000", "CurrentYear": "4022190000"}, "現金及び現金同等物": {"Prior2Year": "4589699000", "Prior1Year": "6233799000", "CurrentYear": "4022190000"}, "電子記録債権": {"Prior1Year": "1856632000", "CurrentYear": "1866749000"}, "売掛金": {"Prior1Year": "3521305000", "CurrentYear": "2559777000"}, "商品及び製品": {"Pri...	{"売上高": {"Prior1Year": "22174025000", "CurrentYear": "21242751000"}, "売上原価": {"Prior1Year": "14946022000", "CurrentYear": "15457897000"}, "売上総利益又は売上総損失（△)": {"Prior1Year": "7228003000", "CurrentYear": "5784854000"}, "販売費及び一般管理費": {"Prior1Year": "4475563000", "CurrentYear": "4302177000"}, "営業利益": {"Prior1Year": "2752440...	{"当期利益": {"Prior1Year": "2446039000", "CurrentYear": "976640000"}, "税引前当期純利益": {"Prior1Year": "2822632000", "CurrentYear": "1501487000"}, "減価償却費及び償却費": {"Prior1Year": "858011000", "CurrentYear": "901593000"}, "減損損失": {"Prior1Year": "62395000", "CurrentYear": "12512000"}, "貸倒引当金の増減額（△は減少）": {"Prior1Year": "219000", "Cur...	{"沿革": {"FilingDate": "２【沿革】1977年８月フレキシブル継手の製造と販売を目的として東京フレックス工業株式会社を資本金１千万円で東京都杉並区方南に設立1977年12月本社を東京都港区南麻布二丁目５番16号へ移転1979年４月本社を東京都港区南麻布二丁目10番９号へ移転1985年３月本社を千葉県船橋市潮見町へ移転1988年３月フレキシブル継手の製造と販売を目的として中国天津市に天津天富軟管工業有限公司を設立1991年４月本社を千葉県船橋市印内町へ移転1991年４月製造・販売を一体化するため、子会社である東京フレックス東日本株式会社、東京フレックス西日本株式会社、東京フレックス中部株式会社及びテーエフクリーン株...	1	0.636192	6
"{\"会社名\": \"株式会社創通\", \"EDINETコード\": \"E05338\", \"ファンドコード\":(...TRUNCATED)	"{\"売上高\": {\"Prior4Year\": \"15120612000\", \"Prior3Year\": \"18151014000\", \"Prior2Year\": (...TRUNCATED)	"{\"現金及び預金\": {\"Prior1Year\": \"15836072000\", \"CurrentYear\": \"15235233000\"}, \"現(...TRUNCATED)	"{\"売上高\": {\"Prior1Year\": \"22298748000\", \"CurrentYear\": \"23910863000\"}, \"売上原価(...TRUNCATED)	"{\"税引前当期純利益\": {\"Prior1Year\": \"3385877000\", \"CurrentYear\": \"3463842000\"}, \(...TRUNCATED)	"{\"沿革\": {\"FilingDate\": \"２【沿革】年月事項昭和40年10月東京都中央区銀座(...TRUNCATED)	0	0.631085	8
"{\"会社名\": \"株式会社　梅の花\", \"EDINETコード\": \"E03314\", \"ファンドコー(...TRUNCATED)	"{\"売上高\": {\"Prior4Year\": \"29780716000\", \"Prior3Year\": \"29680341000\", \"Prior2Year\": (...TRUNCATED)	"{\"現金及び預金\": {\"Prior1Year\": \"7726651000\", \"CurrentYear\": \"3920396000\"}, \"現(...TRUNCATED)	"{\"売上高\": {\"Prior1Year\": \"29398922000\", \"CurrentYear\": \"31394646000\"}, \"売上原価(...TRUNCATED)	"{\"当期利益\": {\"Prior1Year\": \"96625000\", \"CurrentYear\": \"-414849000\"}, \"税引前当(...TRUNCATED)	"{\"沿革\": {\"FilingDate\": \"２【沿革】年月事項昭和54年10月料理店の経営を目(...TRUNCATED)	1	0.630132	1
"{\"会社名\": \"ブロードメディア株式会社\", \"EDINETコード\": \"E05269\", \"ファ(...TRUNCATED)	"{\"売上高\": {\"Prior4Year\": \"12968695000\", \"Prior3Year\": \"12301891000\", \"Prior2Year\": (...TRUNCATED)	"{\"現金及び預金\": {\"Prior1Year\": \"1432125000\", \"CurrentYear\": \"2304221000\"}, \"現(...TRUNCATED)	"{\"売上高\": {\"Prior1Year\": \"12117740000\", \"CurrentYear\": \"13158119000\"}, \"売上原価(...TRUNCATED)	"{\"当期利益\": {\"Prior1Year\": \"-905845000\", \"CurrentYear\": \"-201917000\"}, \"税引前(...TRUNCATED)	"{\"沿革\": {\"FilingDate\": \"２【沿革】平成８年９月一般放送事業を行うため(...TRUNCATED)	1	0.619667	7
"{\"会社名\": \"ワシントンホテル株式会社\", \"EDINETコード\": \"E35136\", \"ファ(...TRUNCATED)	"{\"売上高\": {\"Prior3Year\": \"21417323000\", \"Prior2Year\": \"21410636000\", \"Prior1Year\": (...TRUNCATED)	"{\"現金及び預金\": {\"Prior1Year\": \"3177461000\", \"CurrentYear\": \"2872267000\"}, \"現(...TRUNCATED)	"{\"売上高\": {\"Prior1Year\": \"19786345000\", \"CurrentYear\": \"4761970000\"}, \"売上原価\(...TRUNCATED)	"{\"当期利益\": {\"Prior1Year\": \"408289000\", \"CurrentYear\": \"-7518460000\"}, \"税引前(...TRUNCATED)	"{\"沿革\": {\"FilingDate\": \" ２【沿革】年月事業の変遷1961年５月㈱丸栄ほか(...TRUNCATED)	0	0.616016	4
"{\"会社名\": \"株式会社テレビ東京ホールディングス\", \"EDINETコード\": \"E24(...TRUNCATED)	"{\"売上高\": {\"Prior4Year\": \"107327000000\", \"Prior3Year\": \"111521000000\", \"Prior2Year\"(...TRUNCATED)	"{\"現金及び預金\": {\"Prior1Year\": \"20286000000\", \"CurrentYear\": \"25950000000\"}, \"現(...TRUNCATED)	"{\"売上高\": {\"Prior1Year\": \"120696000000\", \"CurrentYear\": \"128667000000\"}, \"売上原(...TRUNCATED)	"{\"税引前当期純利益\": {\"Prior1Year\": \"4062000000\", \"CurrentYear\": \"5183000000\"}, \(...TRUNCATED)	"{\"沿革\": {\"FilingDate\": \" ２【沿革】当社は、株式会社テレビ東京、株式(...TRUNCATED)	0	0.614046	4
"{\"会社名\": \"株式会社旅工房\", \"EDINETコード\": \"E33110\", \"ファンドコード(...TRUNCATED)	"{\"売上高\": {\"Prior4Year\": \"21697624000\", \"Prior3Year\": \"22526272000\", \"Prior2Year\": (...TRUNCATED)	"{\"現金及び預金\": {\"Prior1Year\": \"3689155000\", \"CurrentYear\": \"2756836000\"}, \"現(...TRUNCATED)	"{\"売上高\": {\"Prior1Year\": \"29268193000\", \"CurrentYear\": \"33355387000\"}, \"売上原価(...TRUNCATED)	"{\"当期利益\": {\"Prior1Year\": \"195580000\", \"CurrentYear\": \"95399000\"}, \"税引前当(...TRUNCATED)	"{\"沿革\": {\"FilingDate\": \" ２【沿革】当社は、1994年４月に、旅行会社へ航(...TRUNCATED)	1	0.613785	3
"{\"会社名\": \"株式会社ＵＫＣホールディングス\", \"EDINETコード\": \"E23245\",(...TRUNCATED)	"{\"売上高\": {\"Prior4Year\": \"303585000000\", \"Prior3Year\": \"257088000000\", \"Prior2Year\"(...TRUNCATED)	"{\"現金及び預金\": {\"Prior1Year\": \"17658000000\", \"CurrentYear\": \"27542000000\"}, \"現(...TRUNCATED)	"{\"売上高\": {\"Prior1Year\": \"317042000000\", \"CurrentYear\": \"280672000000\"}, \"売上原(...TRUNCATED)	"{\"税引前当期純利益\": {\"Prior1Year\": \"7210000000\", \"CurrentYear\": \"6208000000\"}, \(...TRUNCATED)	"{\"沿革\": {\"FilingDate\": \"２【沿革】年月事項平成21年５月株式会社ユーエ(...TRUNCATED)	1	0.611121	2
"{\"会社名\": \"トヨタファイナンス株式会社\", \"EDINETコード\": \"E05031\", \"フ(...TRUNCATED)	"{\"経常利益\": {\"Prior4Year\": \"31260000000\", \"Prior3Year\": \"27629000000\", \"Prior2Year\(...TRUNCATED)	"{\"現金及び預金\": {\"Prior1Year\": \"10183000000\", \"CurrentYear\": \"56578000000\"}, \"現(...TRUNCATED)	"{\"販売費及び一般管理費\": {\"Prior1Year\": \"154545000000\", \"CurrentYear\": \"12857400(...TRUNCATED)	"{\"当期利益\": {\"Prior1Year\": \"15230000000\", \"CurrentYear\": \"29051000000\"}, \"税引前(...TRUNCATED)	"{\"沿革\": {\"FilingDate\": \" ２【沿革】当社は、親会社であるトヨタ自動車(...TRUNCATED)	0	0.610872	4
"{\"会社名\": \"ルーデン・ホールディングス株式会社\", \"EDINETコード\": \"E05(...TRUNCATED)	"{\"売上高\": {\"Prior4Year\": \"2355196000\", \"Prior3Year\": \"2968591000\", \"Prior2Year\": \"(...TRUNCATED)	"{\"現金及び預金\": {\"Prior1Year\": \"1625285000\", \"CurrentYear\": \"1552632000\"}, \"現(...TRUNCATED)	"{\"売上高\": {\"Prior1Year\": \"2626680000\", \"CurrentYear\": \"2527792000\"}, \"売上原価\"(...TRUNCATED)	"{\"当期利益\": {\"Prior1Year\": \"80875000\", \"CurrentYear\": \"-459086000\"}, \"税引前当(...TRUNCATED)	"{\"沿革\": {\"FilingDate\": \"２【沿革】2000年６月東京都小平市に新築住宅の床(...TRUNCATED)	1	0.60923	9

End of preview. Expand in Data Studio

YAML Metadata Warning:The task_categories "binary-classification" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

EDINET-Bench Curated Subset

This dataset contains 14 carefully selected samples from the EDINET-Bench fraud detection dataset, curated using advanced difficulty assessment and model evaluation techniques.

Dataset Description

This is a high-quality subset of the EDINET-Bench fraud detection dataset, selected based on:

Difficulty Score: Measures how challenging the sample is for AI models
Consistency Score: Evaluates response consistency across different models
Model Agreement: Measures consensus among different AI models
Response Quality: Assesses the quality of model responses

Selection Methodology

The samples were selected using a sophisticated sample picker that:

Evaluates samples using multiple state-of-the-art language models
Calculates difficulty metrics based on model performance
Ranks samples by their educational and evaluation value
Selects the most challenging and informative samples

Dataset Structure

Fields

Core Financial Data:

document_text: Financial document content (financial statements, earnings reports, etc.)
label: Fraud detection label (0=non-fraud, 1=fraud)
is_fraud: Boolean version of fraud label (true/false)

Company Information:

company_name: Name of the company
company_code: Company identifier code
financial_year: Financial reporting year
quarter: Reporting quarter
filing_date: Date of filing
sample_id: Original sample identifier from EDINET-Bench

Selection Context:

difficulty_score: How difficult this sample is for models (higher = more difficult)
picker_sample_id: Sample ID assigned by the picker tool

Usage

This curated subset is ideal for:

Model evaluation and benchmarking on challenging fraud detection cases
Fine-tuning on difficult financial analysis examples
Research on fraud detection capabilities
Educational purposes for understanding model limitations

Original Dataset

This subset is derived from: SakanaAI/EDINET-Bench (fraud_detection subset)

Citation

If you use this curated subset, please cite both this dataset and the original EDINET-Bench.

Downloads last month: 6

Number of rows:

Total file size:

662 kB