{"uid":"cap_vQVVg70dsrjwwnzyqZx5s","slug":"review-aspect-training-evaluation-text-overlap-4e11edff","name":"Review Aspect Training Evaluation Text Overlap","description":"Review aspect - Training evaluation text overlap: Training evaluation text overlap 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 training evaluation text overlap deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-leakage?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},"evaluation_texts":{"type":"array","items":{"type":"string","default":"","maxLength":1000},"default":["performance sample document number 0 for this supplied dataset.","A separate supplied document."],"maxItems":200,"minItems":1}}},"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_5FuNtv_T12nt-tuNf7sMv","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":"Checks whether supplied evaluation texts overlap with labelled training records used to train a local naive-Bayes review-aspect classifier, detecting data leakage.","exampleAgentPrompt":"Check whether any of my evaluation texts overlap with my labelled training records for review aspect classification — I have records labelled as performance, appearance, value, or other, and I want to know if there's data leakage before I trust my eval scores.","exampleUseCases":[{"title":"Pre-evaluation data leakage audit","prompt":"I'm about to score my review aspect classifier but I want to make sure none of my evaluation texts appear in my training set first — can you run an overlap check on these 50 labelled training records (performance, appearance, value, other) against my 20 evaluation sentences?"},{"title":"Dataset hygiene check for review classifier","prompt":"I built a naive-Bayes model to classify product reviews by aspect and I want to verify my test set is clean — please check these labelled training records for any text overlap with my evaluation documents before I report accuracy numbers."},{"title":"Training contamination detection for NLP pipeline","prompt":"Before publishing results, I need to confirm there's no text leakage between my training examples and evaluation texts for the review aspect task — can you run the overlap analysis on these labelled records covering performance, appearance, value, and other categories?"}],"resultDescription":"A bounded deliverable report indicating which evaluation texts overlap or share significant text similarity with the supplied labelled training records, flagging potential data leakage that could inflate classifier evaluation scores.","failureModes":["Fewer than 2 training records provided — minimum is 2 records","No evaluation texts provided — at least 1 required","Record text or evaluation text exceeds 1000 character limit","More than 200 records or evaluation texts supplied — exceeds maxItems","Missing required fields (id, text, actual) on any record","Invalid actual label value — must be one of: performance, appearance, value, other","Record id exceeds 80 character limit or is empty"],"whenToPreferThis":"Choose this endpoint when you need to audit training/evaluation data integrity for the specific review aspect classification task (performance, appearance, value, other) using local dataset tools without any hosted model or foundation-model training. It is purpose-built for leakage detection in small-scale review-aspect datasets up to 200 records at very low cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:47:49.201Z","isFirstParty":false,"canonicalSlug":"review-aspect-training-evaluation-text-overlap-4e11edff"}