{"uid":"cap_aibCfJhuKhmF_BCkr4y_y","slug":"sentiment-training-evaluation-text-overlap-281ce6f6","name":"Sentiment Training Evaluation Text Overlap","description":"Sentiment - Training evaluation text overlap: Training evaluation text overlap for Sentiment. 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-sentiment-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":["positive","neutral","negative"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"positive sample document number 0 for this supplied dataset.","actual":"positive"},{"id":"example-0-1","text":"positive sample document number 1 for this supplied dataset.","actual":"positive"},{"id":"example-0-2","text":"positive sample document number 2 for this supplied dataset.","actual":"positive"},{"id":"example-1-0","text":"neutral sample document number 0 for this supplied dataset.","actual":"neutral"},{"id":"example-1-1","text":"neutral sample document number 1 for this supplied dataset.","actual":"neutral"},{"id":"example-1-2","text":"neutral sample document number 2 for this supplied dataset.","actual":"neutral"},{"id":"example-2-0","text":"negative sample document number 0 for this supplied dataset.","actual":"negative"},{"id":"example-2-1","text":"negative sample document number 1 for this supplied dataset.","actual":"negative"},{"id":"example-2-2","text":"negative sample document number 2 for this supplied dataset.","actual":"negative"}],"maxItems":200,"minItems":2},"evaluation_texts":{"type":"array","items":{"type":"string","default":"","maxLength":1000},"default":["positive 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_vn5VWZTJjW36Kcpn6wpFP","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 evaluation texts overlap with labelled training records, providing a data-leakage analysis for sentiment classification datasets.","exampleAgentPrompt":"Check my sentiment training records for data leakage — I have about 50 labelled texts tagged as positive, neutral, or negative, plus 20 evaluation texts I want to test against, and I need to know if any evaluation examples overlap with the training set.","exampleUseCases":[{"title":"Pre-deployment leakage audit for sentiment model","prompt":"Before I ship my sentiment classifier, can you check these 100 labelled training records (positive/neutral/negative) against my 30 evaluation texts to see if any evaluation examples leaked into training?"},{"title":"Dataset quality check for NLP pipeline","prompt":"I'm building a sentiment analysis pipeline and want to make sure my evaluation set is clean — here are 80 labelled training texts and 25 evaluation documents, please detect any text overlap between them."},{"title":"Research reproducibility validation","prompt":"For my research paper I need to prove my sentiment benchmark is contamination-free — can you run an overlap analysis between my 150 labelled training records and 40 held-out evaluation texts?"}],"resultDescription":"A bounded deliverable reporting which evaluation texts overlap with training records, including overlap indicators and metrics that reveal potential data leakage between the training and evaluation splits of a sentiment dataset.","failureModes":["Fewer than 2 records provided — minimum 2 labelled records required","More than 200 records or 200 evaluation texts supplied — exceeds maxItems limit","Record text exceeds 1000 characters — truncation or rejection","Missing required fields (id, text, actual) in any record object","Invalid sentiment label — must be one of positive, neutral, negative","Empty evaluation_texts array — at least 1 evaluation text required"],"whenToPreferThis":"Choose this endpoint when you need to audit a sentiment-labelled dataset for training-evaluation text leakage before model evaluation or publication. It is specifically designed for small-to-medium datasets (up to 200 records) with three-class sentiment labels and returns a bounded overlap report without requiring a hosted model or foundation-model infrastructure. Prefer it over general-purpose deduplication tools when the task is specifically validating sentiment classification dataset integrity.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T00:59:38.403Z","isFirstParty":false,"canonicalSlug":"sentiment-training-evaluation-text-overlap-281ce6f6"}