Individual skill
dataset-evaluation
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.
plugins/sagemaker-ai/skills/dataset-evaluation/SKILL.md
Source commit fbefb3764e67558fe10ac834dd85db49734aa9b6
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 937
- Repository last updated
- Nov 5, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agents Repository topic
- coding-agent-skills Repository topic
- coding-agents Repository topic
- agent-plugins Repository topic
- aws Repository topic
- legal Derived category
- data Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 5,043 bytesSKILL.mdcore · 5,043 bytesreferences/custom-scorer-evaluation-dataset-formats.mddoc · 4,192 bytesreferences/strategy_data_requirements.mddoc · 4,949 bytesscripts/format_detector.pyruns · 25,612 bytes
Read excerpt
# Workflow Instruction
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 the appropriate validation based on the model family. Summarize the results: is the dataset ready for fine-tuning?
## Prerequisites
- The SDK environment has been verified (SDK version, region, execution role). If not done, activate the `sdk-getting-started` skill first.
---
## Workflow
1. **Locate Dataset**:
- The full path may be a local file path, or an S3 URI