Kled: Research & Education
Collection
Handwriting at scale, sketches, whiteboards, field notes, technical drawings and online pen strokes, for OCR, math and reasoning work. • 11 items • Updated
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Dataset Card for Handwritten Field Notes
Well-lit, uncropped photos of handwritten field notes and data logs, page by page: tables, measurements, sketches.
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/log-your-fieldwork.
Dataset Details
Dataset Description
Contributors photograph their own field notes and data logs page by page, well lit, uncropped and legible. Expect the structured end of the handwriting spectrum: columns of measurements, timestamps, item codes, quick sketches and improvised abbreviations, written in the field or at work, not at a desk, in the scripts and languages of a global base strongest in Southeast Asia, the United States and Europe. No transcriptions are included. Recognizers trained on prose do badly on tables of numbers and codes, and archives holding such notebooks rarely license them; this set complements the general handwriting pages for handwritten-table recognition. The brief was broad, so content runs from scientific notebooks to everyday logs; samples are available.
- Curated by: Kled (useKled)
- Collected through: Phone camera (in app)
- Language(s): English, Indonesian, Malay, Filipino, Spanish, French, Hindi
- Regions: Global, 100+ countries
- Volume: 100,000+ pages (approx. 300 GB)
- Contributors: 3,300+
- Modality: Images
- Format: JPG / PNG / HEIC
- Resolution: Native phone camera resolution (JPG, PNG, HEIC)
- Annotations: Raw (no labels)
- Quality control: 99%+ 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/log-your-fieldwork
- Sample set: through the access request at the top of this page, or team@kled.ai
- Publisher: huggingface.co/useKled
Uses
Direct Use
- Handwritten table and numeral recognition
- Field notebook digitization
- Structured handwriting OCR
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: 100,000+ 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 (99%+ 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 (in app). Each submission is reviewed against the task brief; submissions that break the capture rules are rejected. 99%+ 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_log_your_fieldwork_2026,
title = {Handwritten Field Notes},
author = {Kled},
year = {2026},
url = {https://www.kled.ai/datasets/log-your-fieldwork},
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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