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Language Routing — Grouped Dataset Split
x402
Language Routing — 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 2026-10-15).
Splits a labelled language-routing dataset (english/french/spanish/other) into grouped train/test partitions for local evaluation and naive-Bayes baseline development.
Price / call$0.01
Success—
StatusUnknown
How this service works
Language routing - Grouped dataset split: Grouped dataset split for Language routing. 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 containing the supplied labelled records (up to 200) partitioned by language class (english, french, spanish, other), suitable for local evaluation and naive-Bayes baseline testing. No hosted model is trained; the output is a structured split artifact.
Example use cases
Multilingual chatbot dataset prep
“I have 150 customer support messages labelled as english, french, spanish, or other and I need to split them into grouped train/test partitions before training a language router — can you do the grouped dataset split for me?”
Naive-Bayes language baseline evaluation
“Here are 80 short text snippets with their language labels (english, french, spanish, other) — run a grouped dataset split so I can benchmark a naive-Bayes language detector against held-out examples.”
Language routing QA for content pipeline
“We're QA-testing our language routing pipeline and have 60 labelled documents (mix of english, spanish, and other). Split them into a grouped dataset partition so we can measure how accurately the router assigns languages.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-language-routing-dataset-split?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01 USDC) grouped train/test split for a small labelled language-routing corpus (up to 200 records) with classes english, french, spanish, or other, and you want a local evaluation artifact rather than a hosted or fine-tuned model. Ideal for rapid prototyping, baseline benchmarking, and QA of language detection pipelines without infrastructure overhead.
Side effects
- Fewer than 2 records supplied — minimum item count violation
- More than 200 records supplied — maxItems exceeded, request rejected
- Record missing required fields (id, text, actual) — schema validation error
- Invalid language label outside enum (english/french/spanish/other) — validation failure
- Text field exceeds 1000 characters per record — truncation or rejection
- ID field empty or exceeds 80 characters — schema violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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