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Dataset Card for Handwritten Notes and Math

Handwritten Notes and Math

Photographed and scanned pages of handwritten notes, worked math and diagrams from contributors worldwide.

Collected through the Kled app by consenting contributors and licensed for commercial training. The files are delivered by Kled under license, not downloaded from this repository. Use Request a sample set at the top of this page, or write to team@kled.ai. Catalog entry: kled.ai/datasets/handwritten-notes-and-problem-solving.

Dataset Details

Dataset Description

Contributors photograph or scan pages of their own handwriting: lecture notes, problem sets with the work shown, derivations, diagrams and annotated sketches, in whatever language and script they study in, reviewed for legibility and task fit. Expect the variation of real notebooks, not a scanning booth, from a global base strongest in Southeast Asia, the United States and Europe, in Latin and non-Latin scripts. There are no transcriptions; the worked-solution pages are a rare record of how people lay out intermediate reasoning on paper. Nearly every public handwriting corpus of any size excludes commercial training (IAM, MathWriting, CROHME); this one does not.

Curated by: Kled (useKled)
Collected through: Phone camera or uploads
Language(s): English, Indonesian, Malay, Filipino, Spanish, French, Hindi
Regions: Global, 100+ countries
Volume: 750,000+ pages (approx. 2.2 TB)
Contributors: 15,000+
Modality: Images
Format: JPG / PNG / HEIC
Resolution: Native phone camera resolution (JPG, PNG, HEIC)
Annotations: Raw (no labels)
Quality control: 98% passed QA review
License: Non-exclusive commercial training license (terms); exclusivity available on request
Consent: Each contributor opted in to this use when they uploaded.

Dataset Sources

Catalog page: kled.ai/datasets/handwritten-notes-and-problem-solving
Sample set: through the access request at the top of this page, or team@kled.ai
Publisher: huggingface.co/useKled

Uses

Direct Use

Handwritten math recognition
Handwriting OCR across scripts
Visual reasoning over worked solutions

Out-of-Scope Use

Redistribution or resale of the files, use outside the terms of the commercial training license, and any attempt to identify or contact contributors or people who appear in the data. Uses that require labels this set does not carry should be scoped with the data team first.

Dataset Structure

Data Instances

One page per record, delivered as JPG / PNG / HEIC. Volume: 750,000+ pages.

Data Fields

File: the JPG / PNG / HEIC file as captured or uploaded by the contributor
Labels: none; the set is delivered raw. Labeling on the same items is available on request.
Capture metadata: capture tool, country of capture, submission time
Review status: QA outcome (98% passed QA review)

Field names and the manifest format are confirmed with the sample set.

Data Splits

Delivered as one set. Subsets by country, language or label, and custom splits, are available on request.

Dataset Creation

Curation Rationale

The dataset exists because the public alternatives named in the description are non-commercial, synthetic, small or collected elsewhere. Kled runs the task as a paid brief in its app so that the data is captured on purpose, under the capture rules above, by people who have opted in to commercial use.

Source Data

Data Collection and Processing

Contributors complete the task in the Kled app. Capture tool: Phone camera or uploads. Each submission is reviewed against the task brief; submissions that break the capture rules are rejected. 98% passed QA review. Files are delivered as JPG / PNG / HEIC, in the resolution noted above.

Who are the source data producers?

Kled contributors, who complete paid data tasks on their own phones. This task was open to contributors worldwide. Kled has 625,000+ contributors in 100+ countries, strongest in Southeast Asia, the United States and Europe.

Annotations

Annotation process

No annotations are included. Items are delivered as captured; labeling on the same items can be scoped with the data team.

Who are the annotators?

Not applicable; no annotations are included.

Personal and Sensitive Information

Every item was contributed by its owner, who opted in to this use at upload. The task brief states what may and may not appear in a submission, and reviewers reject submissions that break those rules. Kled's data handling practices are documented at trust.kled.ai; questions about handling requirements for your use go to team@kled.ai.

Bias, Risks, and Limitations

Coverage follows the contributor base: strongest in Southeast Asia, the United States and Europe, thinner elsewhere, and not limited by region for this task. Devices, settings and conditions vary by contributor, which is the point of the collection and also means no two items are captured under identical conditions. Where labels are contributor-entered, they are checked at review but are not expert annotations. Volumes are the current scope of the task and grow as collection continues.

Recommendations

Request a sample set and run it against your task before licensing. Ask for per-country or per-language counts where they matter to your use.

Licensing Information

Non-exclusive commercial training license; exclusivity on request. Each contributor opted in to this use when they uploaded. The license terms are on the catalog page.

Citation

@misc{kled_handwritten_notes_and_problem_solving_2026,
  title        = {Handwritten Notes and Math},
  author       = {Kled},
  year         = {2026},
  url          = {https://www.kled.ai/datasets/handwritten-notes-and-problem-solving},
  note         = {Commercially licensed dataset collected through the Kled app. Sample sets on request.}
}

Dataset Card Contact

Kled data team: team@kled.ai

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