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The task_categories "text-recognition" 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, 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
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The task_categories "document-understanding" 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, 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
Brazilian Bills and Invoices Dataset
This dataset contains high-quality scanned and photographed images of Brazilian bills, invoices, and utility payment documents. It supports AI research in OCR, financial document understanding, and structured data extraction for Portuguese-language financial contexts.
Contact
For queries or collaborations related to this dataset, contact:
Supported Tasks
Task Categories:
- Text Recognition (OCR)
- Document Classification
- Document Understanding
Supported Tasks:
- Extraction of key financial fields (amounts, due dates, customer IDs, payment codes)
- OCR for printed and digital Brazilian utility bills and invoices
- Document classification by service type (electricity, water, telecom, internet)
- Multilingual text recognition (Portuguese-English) for multinational billing systems
- Training AI models for financial data parsing and automation workflows
Languages
- Primary Language: Portuguese
- Secondary Presence: English (on international service invoices or bilingual corporate bills)
Dataset Creation
Curation Rationale
The dataset was created to help train AI systems capable of interpreting and digitizing Brazilian billing and invoicing formats. It aids automation in finance, accounting, and document intelligence applications.
Source Data
- Contributors: Collected from anonymized, publicly shared, and simulated invoice data sources
- Collection Process: Bills were photographed or scanned from utility and corporate service providers. All personal data (names, addresses, payment info) was removed or anonymized prior to inclusion.
Other Known Limitations
- Bias: Major urban and corporate service providers are overrepresented
- Layout Diversity: Variations in design between companies and sectors may impact OCR performance
- Image Quality: Folded, faded, or low-resolution documents may affect data extraction accuracy
Intended Uses
✅ Direct Use
- Training OCR and document parsing models
- Research in financial automation and structured document understanding
- Extraction of invoice-level metadata for AI accounting systems
- Benchmarking for multilingual document understanding tasks
❌ Out-of-Scope Use
- Reconstruction of individual financial histories
- Misuse of data for identity tracking or commercial exploitation
- Reproduction of proprietary billing templates for commercial gain
License
CC BY 4.0
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