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Training Question Grouped Dataset Split
x402
Training Question Grouped Dataset Split is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Splits a labelled dataset of training questions into grouped train/test subsets using a naive-Bayes baseline approach, returning bounded split deliverables for up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training question - Grouped dataset split: Grouped dataset split for Training question. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded grouped dataset split deliverable.
Output
A bounded grouped dataset split deliverable partitioning the supplied labelled text records (up to 200) into train and test groups, stratified by category label (concept, procedure, example, assessment), suitable for use with local dataset tools and naive-Bayes baseline evaluation.
Example use cases
Baseline classifier dataset preparation
“I have 48 labelled educational questions — each tagged as either concept, procedure, example, or assessment — can you run a grouped dataset split on them so I have a proper train/test partition for building a naive-Bayes baseline?”
Evaluating a small annotation batch
“I just finished annotating 30 question records with labels like concept and procedure. Can you split them into grouped train and test sets so I can evaluate how well the labels distribute across the split?”
Validating category balance before ML training
“Before I start training, I want to check how my 80 labelled training questions — covering concept, procedure, example, and assessment categories — split across groups. Can you run a grouped dataset split and show me the deliverable?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-training-question-dataset-split?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a small labelled dataset (up to 200 records) of training questions categorised as concept, procedure, example, or assessment, and need a grouped train/test split with local tooling and naive-Bayes baseline evaluation — without requiring a hosted model or foundation-model training pipeline.
Side effects
- Fewer than 2 records supplied — minimum input not met
- Records missing required fields (id, text, actual) — schema validation error
- More than 200 records submitted — exceeds maxItems limit
- Invalid 'actual' label value outside enum (concept/procedure/example/assessment) — rejected
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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