dataset-datasheet
Document a dataset so others know what it is, how it was made, and when not to use it. Use when asked to write a datasheet for a dataset, document training/eval data, or assess whether a dataset is fit for a use. Produces a datasheet — motivation, composition, collection process, preprocessing, recommended uses & limits, distribution, and maintenance.
npx skills add mohitagw15856/pm-claude-skills --skill dataset-datasheet --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Dataset Datasheet Skill Models inherit the flaws of their data, and most data debt is invisible because nobody wrote down where the data came from. A datasheet is that record: how the dataset was collected, what's in it, what's missing, and what it should *not* be used for. It's the difference between a reusable asset and a liability. ## Required Inputs Ask for these only if they aren't already provided: - **Dataset name, version, owner** and what it's used for today. - **Motivation** — why it was created and for what task. - **Composition** — what an instance is, how many, fields/labels, and time range. - **Collection** — sources, method (scraped, logged, purchased, annotated), and consent/licensing basis. - **Known issues** — gaps, imbalances, label noise, sensitive attributes, duplicates. ## Output Format ### Datasheet: [dataset] v[version] **Owner:** [team] · **Created:** [date] · **License:** [license] **1. Motivation** — why this dataset exists, the task it serves, and who funded/created it. **2. Composition** - What a single instance represents; total count; the schema (fields, label definitions). - Class/label balance and key distributions (and notable skews). - **Sensiti
- Required Inputs
- Output Format
- Datasheet: [dataset] v[version]
- Quality Checks
- Anti-Patterns
- Based On
What does the dataset-datasheet skill do?
Document a dataset so others know what it is, how it was made, and when not to use it. Use when asked to write a datasheet for a dataset, document training/eval data, or assess whether a dataset is fit for a use. Produces a datasheet — motivation, composition, collection process, preprocessing, recommended uses & limits, distribution, and maintenance.
How do I install it?
Run `npx skills add mohitagw15856/pm-claude-skills --skill dataset-datasheet --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mohitagw15856/pm-claude-skills, a repository with 1,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.