{"uid":"cap_vCeKmfp8QblsOxkJdKIlc","slug":"sentiment-grouped-dataset-split-255bd65f","name":"Sentiment Grouped Dataset Split","description":"Sentiment - Grouped dataset split: Grouped dataset split 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 grouped dataset split deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-sentiment-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":["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}}},"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_zgNEVKNUEUrvVwlXBY7P5","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 sentiment text records into grouped train/test subsets for local evaluation and naive-Bayes baseline comparison.","exampleAgentPrompt":"I have 150 labelled customer reviews tagged as positive, neutral, or negative — can you do a grouped dataset split on them so I can evaluate them locally with a naive-Bayes baseline?","exampleUseCases":[{"title":"E-commerce review dataset prep","prompt":"I have 120 product reviews already labelled positive, neutral, or negative — split them into grouped train and test sets so I can run a local naive-Bayes sentiment baseline evaluation."},{"title":"Social media sentiment evaluation","prompt":"Here are 180 social media posts I labelled for sentiment — positive, neutral, and negative — can you do a grouped dataset split so I can see how well my labels hold up across partitions?"},{"title":"Support ticket sentiment benchmarking","prompt":"I've got 90 support tickets manually tagged with sentiment labels. Run a grouped split on them by sentiment class so I can evaluate coverage and build a local baseline model."}],"resultDescription":"A grouped dataset split deliverable partitioning up to 200 supplied labelled text records by sentiment class (positive, neutral, negative) into train/test groups, suitable for local evaluation and naive-Bayes baseline benchmarking. No hosted model or foundation-model training is included.","failureModes":["Fewer than 2 records supplied — minimum input not met","More than 200 records supplied — maxItems exceeded","Missing required fields (id, text, actual) on any record","Invalid 'actual' enum value (must be positive, neutral, or negative)","Record ID exceeds 80 characters or text exceeds 1000 characters","Insufficient class diversity to produce meaningful grouped split"],"whenToPreferThis":"Choose this endpoint when you have a small labelled sentiment corpus (up to 200 records) and need a fast, inexpensive grouped train/test split with naive-Bayes baseline evaluation — particularly for local dataset work without access to a hosted model or foundation-model training pipeline. Ideal for quick sanity-checking of labelled sentiment data or benchmarking annotation quality.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T07:01:26.568Z","isFirstParty":false,"canonicalSlug":"sentiment-grouped-dataset-split-255bd65f"}