DataBounty turns a real data gap into a traceable, release-ready public dataset. A sponsor defines an open specification, contributors create the items, validators make the release decision, and the finished corpus is published with its licence, provenance, and contributor credit.
| 3 public datasets | 3,000 released items | CC BY 4.0 releases |
|---|
Explore DataBounty · Open the console · Browse on Hugging Face · View the source · Contact support
- Now open source: the platform itself — API, web, admin console, and landing site — is public at Databounty-io/databounty.
- Public-release navigation: each featured release below now links to the matching GitHub files and Hugging Face dataset card.
- Clearer release evidence: releases describe their scope, licence, provenance metadata, contributor credit, and machine-readable manifest.
- One visible workflow: DataBounty connects an open data need to community contributions, validation, and a reusable public release.
data gap → open work spec → community contributions → validation → published dataset
The public site shows open specifications, validation activity, and released datasets. The DataBounty console is where people request a dataset, contribute to open pools, audit submissions, and follow the release process. Coding is live today; the platform is designed to extend to other expert-validated domains.
Every release includes accepted items, a human-readable dataset card, a machine-readable manifest, its licence, provenance metadata, and named contributor credit. Sponsor references, unpublished submissions, reviewer evidence, credentials, and personal data are never published.
| Dataset | What it contains | Explore |
|---|---|---|
| Python Execution Trace & Output Prediction | Self-contained Python programs paired with a function call and exact runtime output. | GitHub files · Hugging Face |
| Python Data Transformation Scripts | Input samples, intended transformations, scripts, and expected outputs for realistic Python data work. | GitHub files · Hugging Face |
| Extract Metrics from Log Fixtures | Verifiable log-fixture metric-extraction examples for training and evaluation. | GitHub files · Hugging Face |
Read a dataset's card and licence before using it; they define its scope and reuse terms. To report a metadata error, licensing concern, or request a correction or withdrawal, email support@databounty.io.