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Dataset Evaluation

Category: General  ·  Sub-category: general-misc  ·  Last updated:
ai:llm
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.

From the source SKILL.md

Follow the workflow shown below. Locate the dataset, check the file type, and resolve any issues with missing files or wrong file types. Determine the fine-tuning model and fine-tuning strategy. Run scripts/format_detector.py to evaluate whether the file is formatted correctly for the currently selected model and strategy. Summarize the results: is the dataset ready for fine-tuning?

What this skill does

Dataset Evaluation is a community-contributed Claude Code skill in the general-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/dataset-evaluation/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.

Who uses this skill

The Dataset Evaluation Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 117,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/dataset-evaluation
curl -L https://claudskills.com/skills/dataset-evaluation/SKILL.md \
  -o ~/.claude/skills/dataset-evaluation/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/dataset-evaluation/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/dataset-evaluation/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\dataset-evaluation\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Dataset Evaluation Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/dataset-evaluation/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Dataset Evaluation skill do?
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Dataset Evaluation skill?
Use Dataset Evaluation when your Claude Code task falls under the General category — specifically in the general misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Dataset Evaluation" or describe the task and let Claude pick). Browse related skills at /category/general/.
What is a Claude Code skill and how does the Dataset Evaluation skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Dataset Evaluation is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
awslabs. (2026). Dataset Evaluation [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/dataset-evaluation/
BibTeX
@misc{dataset-evaluation-2026,
  author    = {awslabs},
  title     = {Dataset Evaluation [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/dataset-evaluation/}
}

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