Datasets:

useKled
/

correct-this-text

pretty_name: Draft and Final Writing Pairs
license: other
license_name: kled-commercial-training-license
license_link: https://www.kled.ai/datasets/correct-this-text
language:
  - en
  - id
  - ms
  - tl
  - es
  - fr
  - hi
task_categories:
  - text-generation
tags:
  - kled
  - commercial-license
  - consented-data
  - human-collected
  - sample-on-request
  - text
  - everyday-writing
  - phone-capture
  - global
  - captioned
  - revision-pairs
  - preference-data
size_categories:
  - 1K<n<10K
annotations_creators:
  - crowdsourced
language_creators:
  - crowdsourced
source_datasets:
  - original
multilinguality:
  - multilingual
viewer: false
gated: manual
extra_gated_heading: Request a sample set of Draft and Final Writing Pairs
extra_gated_prompt: >-
  Kled delivers sample sets and licensed data by email, not through Hugging
  Face. Tell us a little about your work and the Kled data team will send a
  sample set and pricing. Your request goes to team@kled.ai.
extra_gated_fields:
  Company or lab: text
  Role: text
  What are you building: text
  Volume you need:
    type: select
    options:
      - Sample set only
      - Under 10,000 items
      - 10,000 to 100,000 items
      - 100,000 or more items
      - Full dataset
      - Custom collection on the Kled contributor base
  I agree to be contacted by Kled about this request: checkbox
extra_gated_button_content: Request a sample set
extra_gated_description: Prefer email? Write to team@kled.ai with the dataset name in the subject line.

Dataset Card for Draft and Final Writing Pairs

Draft and Final Writing Pairs

An early draft and the writer's own improved version of the same piece, with their explanation of what changed and why.

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/correct-this-text.

Dataset Details

Dataset Description

Paste an early draft of something you wrote and the version you sent, then explain what changed and why it is better. Typo-only differences, missing explanations, fabricated bad drafts and identical texts are refused; one pair per contributor, from a global base strongest in Southeast Asia, the United States and Europe, so English runs from first- to second-language writers and edits cover register, clarity and tone as much as grammar. Drafts get deleted, so human writing's intermediate state is almost never preserved, and the existing error-correction corpora (W&I+LOCNESS, JFLEG) are non-commercial essay sets. The explanation, written by the only person who knows why, turns a revision pair into supervision for preference, rewriting and feedback models.

Curated by: Kled (useKled)
Collected through: Typed in the Kled app
Language(s): English, Indonesian, Malay, Filipino, Spanish, French, Hindi
Regions: Global, 100+ countries
Volume: 5,000+ pairs (approx. 25 MB)
Contributors: 5,000+
Modality: Text
Format: Plain text
Resolution: Plain text, UTF-8
Annotations: Captioned (author's edit explanation)
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/correct-this-text
Sample set: through the access request at the top of this page, or team@kled.ai
Publisher: huggingface.co/useKled

Uses

Direct Use

Preference and rewriting model supervision
Writing feedback generation
Revision intent modeling

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 pair per record, delivered as Plain text. Volume: 5,000+ pairs.

Data Fields

File: the Plain text file as captured or uploaded by the contributor
Labels: Captioned (author's edit explanation), entered by the contributor at capture and checked at review.
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: Typed in the Kled 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 Plain text, 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

Captioned (author's edit explanation). The label is entered by the contributor as part of the task and checked at review against the task brief; it is a contributor label, not an expert annotation, unless the description above says otherwise.

Who are the annotators?

The contributors themselves, at the moment of capture. Kled reviewers check each submission against the task brief.

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_correct_this_text_2026,
  title        = {Draft and Final Writing Pairs},
  author       = {Kled},
  year         = {2026},
  url          = {https://www.kled.ai/datasets/correct-this-text},
  note         = {Commercially licensed dataset collected through the Kled app. Sample sets on request.}
}

Dataset Card Contact

Kled data team: team@kled.ai