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The task_categories "document-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, 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 "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
Korean User Manuals Dataset
This dataset contains high-resolution images and PDFs of Korean user manuals and instruction guides for electronics, appliances, and consumer products. It is curated and anonymized to support AI research in OCR, document understanding, and multilingual text extraction.
Contact
For queries or collaborations related to this dataset, contact:
Supported Tasks
Task Categories:
- Document Classification
- Text Recognition (OCR)
- Document Understanding
Supported Tasks:
- OCR for printed Korean user manuals
- Instruction extraction and step segmentation
- Multilingual text recognition (Korean-English)
- Document layout and structure analysis
- AI modeling for automated troubleshooting or virtual assistants
Languages
- Primary Language: Korean
- Secondary Presence: English (on bilingual or international manuals)
Dataset Creation
Curation Rationale
The dataset was created to help AI systems understand and extract instructions from user manuals. It supports OCR, structured document understanding, and training of AI for automated guidance, troubleshooting, and multilingual comprehension.
Source Data
- Contributors: Publicly available manuals, product documentation, and simulated user guides
- Collection Process: Manuals were scanned or photographed. Sensitive information such as serial numbers, personal data, or proprietary content was removed before inclusion.
Other Known Limitations
- Bias: Consumer electronics and household appliances are more represented than industrial or niche products
- Visual Quality: Lighting, scan quality, or folded pages may affect OCR performance
- Format Diversity: Predominantly PDFs and images; limited video or interactive manuals
Intended Uses
✅ Direct Use
- Training OCR and text extraction models for Korean manuals
- Step-wise instruction parsing and document understanding research
- AI-driven troubleshooting and virtual assistant applications
- Multilingual document analysis for product guides
❌ Out-of-Scope Use
- Reproducing proprietary manuals for commercial purposes
- Tracking or surveilling individuals via manual content
- Misuse of instructions for unsafe or non-intended purposes
License
CC BY 4.0
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