{"uid":"cap_oN1coUnmW5S8x2HC9-m4n","slug":"review-aspect-grouped-dataset-split-61ca576d","name":"Review Aspect Grouped Dataset Split","description":"Review aspect - Grouped dataset split: Grouped dataset split for Review aspect. 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.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-dataset-split?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"records":{"type":"array","items":{"type":"object","required":["id","text","actual"],"properties":{"id":{"type":"string","default":"","maxLength":80,"minLength":1},"text":{"type":"string","default":"","maxLength":1000},"actual":{"enum":["performance","appearance","value","other"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"performance sample document number 0 for this supplied dataset.","actual":"performance"},{"id":"example-0-1","text":"performance sample document number 1 for this supplied dataset.","actual":"performance"},{"id":"example-0-2","text":"performance sample document number 2 for this supplied dataset.","actual":"performance"},{"id":"example-1-0","text":"appearance sample document number 0 for this supplied dataset.","actual":"appearance"},{"id":"example-1-1","text":"appearance sample document number 1 for this supplied dataset.","actual":"appearance"},{"id":"example-1-2","text":"appearance sample document number 2 for this supplied dataset.","actual":"appearance"},{"id":"example-2-0","text":"value sample document number 0 for this supplied dataset.","actual":"value"},{"id":"example-2-1","text":"value sample document number 1 for this supplied dataset.","actual":"value"},{"id":"example-2-2","text":"value sample document number 2 for this supplied dataset.","actual":"value"},{"id":"example-3-0","text":"other sample document number 0 for this supplied dataset.","actual":"other"},{"id":"example-3-1","text":"other sample document number 1 for this supplied dataset.","actual":"other"},{"id":"example-3-2","text":"other sample document number 2 for this supplied dataset.","actual":"other"}],"maxItems":200,"minItems":2}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_xXbxPVkaE_0MS9gBgejZ6","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Splits up to 200 labelled review-aspect text records into a grouped train/test dataset split with local evaluation and naive-Bayes baselines.","exampleAgentPrompt":"Can you do a grouped dataset split on my 50 labelled product review records — they're each tagged as performance, appearance, value, or other — and give me the train/test partition along with a naive-Bayes baseline evaluation?","exampleUseCases":[{"title":"E-commerce review classifier preparation","prompt":"I have 120 product reviews each labelled as performance, appearance, value, or other — can you split them into grouped train and test sets and run a naive-Bayes baseline so I know how separable these categories are?"},{"title":"Small-scale aspect model benchmarking","prompt":"Here are 80 customer review snippets I've manually tagged by aspect. Split them into a grouped dataset partition and give me a local evaluation with a baseline classifier to see if my labels are consistent."},{"title":"Review aspect label quality audit","prompt":"I want to check the quality of my review aspect annotations — I have 200 records tagged as performance, appearance, value, or other. Can you do a grouped dataset split and run the naive-Bayes evaluation to flag any problematic label distributions?"}],"resultDescription":"A grouped dataset split deliverable containing train and test partitions of the supplied labelled review-aspect records (up to 200), along with local evaluation metrics and a naive-Bayes baseline performance report. No hosted model is trained; results are local and bounded to the supplied data.","failureModes":["Fewer than 2 records supplied — minimum input not met","More than 200 records supplied — exceeds maximum item limit","Invalid aspect label used outside enum (performance/appearance/value/other)","Record text exceeds 1000 character limit — truncation or rejection","ID field missing or empty — required field validation failure","Unbalanced class distribution may degrade naive-Bayes baseline metrics"],"whenToPreferThis":"Choose this endpoint when you have a small labelled dataset (up to 200 records) of product review text already tagged by aspect (performance, appearance, value, other) and need a quick grouped train/test split with a local naive-Bayes baseline evaluation — without standing up a hosted model or using a foundation model. Ideal for label quality checks, feasibility assessments, and lightweight ML experiments at minimal cost ($0.01 per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:52:13.729Z","isFirstParty":false,"canonicalSlug":"review-aspect-grouped-dataset-split-61ca576d"}