{"uid":"cap_jK2nF_cMjOYrDd7zOcrgp","slug":"meeting-topic-grouped-dataset-split-23fdc75f","name":"Meeting Topic Grouped Dataset Split","description":"Meeting topic - Grouped dataset split: Grouped dataset split for Meeting topic. 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-meeting-topic-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":["planning","progress","decision","review"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"planning sample document number 0 for this supplied dataset.","actual":"planning"},{"id":"example-0-1","text":"planning sample document number 1 for this supplied dataset.","actual":"planning"},{"id":"example-0-2","text":"planning sample document number 2 for this supplied dataset.","actual":"planning"},{"id":"example-1-0","text":"progress sample document number 0 for this supplied dataset.","actual":"progress"},{"id":"example-1-1","text":"progress sample document number 1 for this supplied dataset.","actual":"progress"},{"id":"example-1-2","text":"progress sample document number 2 for this supplied dataset.","actual":"progress"},{"id":"example-2-0","text":"decision sample document number 0 for this supplied dataset.","actual":"decision"},{"id":"example-2-1","text":"decision sample document number 1 for this supplied dataset.","actual":"decision"},{"id":"example-2-2","text":"decision sample document number 2 for this supplied dataset.","actual":"decision"},{"id":"example-3-0","text":"review sample document number 0 for this supplied dataset.","actual":"review"},{"id":"example-3-1","text":"review sample document number 1 for this supplied dataset.","actual":"review"},{"id":"example-3-2","text":"review sample document number 2 for this supplied dataset.","actual":"review"}],"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_aUkaXquNUyVL3kvR_8jmL","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 a labelled meeting-topic dataset into grouped train/test partitions using naive-Bayes baseline tooling for the four meeting topic classes.","exampleAgentPrompt":"Can you do a grouped dataset split on my meeting topic records? I have about 50 labelled texts across four categories — planning, progress, decision, and review — and I need the train/test partition with a naive-Bayes baseline evaluation.","exampleUseCases":[{"title":"Baseline model evaluation for meeting classifier","prompt":"I have 80 annotated meeting transcript snippets labelled as planning, progress, decision, or review. Can you run a grouped dataset split on them and give me the naive-Bayes baseline results so I can see how well a simple model would do?"},{"title":"Preparing meeting data for a new ML pipeline","prompt":"Before I hand my meeting-topic dataset off to the ML team, I need a clean grouped train/test split. I've got 120 records each tagged with one of these labels: planning, progress, decision, or review — can you produce that split?"},{"title":"Validating label balance across meeting categories","prompt":"I want to check whether my 60 labelled meeting records are well-distributed across planning, progress, decision, and review before training. Can you do a grouped dataset split so I can see how the categories fall out in the partitions?"}],"resultDescription":"Returns a bounded grouped dataset split deliverable: the input records partitioned into train and test groups by meeting topic label (planning, progress, decision, review), along with a naive-Bayes baseline evaluation on the split — no hosted model or foundation-model training involved.","failureModes":["Fewer than 2 records supplied — minItems validation error","More than 200 records supplied — maxItems validation error","Record text exceeds 1000 characters — field-level validation error","Invalid label value outside enum (planning/progress/decision/review) — schema rejection","Insufficient class representation for grouped split — degenerate split or error returned","Missing required fields (id, text, actual) — schema validation failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 labelled meeting-topic text records and need a quick, reproducible grouped train/test split with a naive-Bayes baseline — ideal for lightweight local evaluation before committing to a larger model training pipeline. It is purpose-built for the four-class meeting topic schema (planning, progress, decision, review) and costs only $0.01 per call, making it suitable for iterative dataset assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:47:40.793Z","isFirstParty":false,"canonicalSlug":"meeting-topic-grouped-dataset-split-23fdc75f"}