{"uid":"cap_rXlNv3Yw7yEhIbh2u2Pvi","slug":"training-question-label-distribution-9091ffa6","name":"Training Question Label Distribution","description":"Training question - Label distribution: Label distribution for Training question. 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 label distribution deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-training-question-label-balance?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":["concept","procedure","example","assessment"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"concept sample document number 0 for this supplied dataset.","actual":"concept"},{"id":"example-0-1","text":"concept sample document number 1 for this supplied dataset.","actual":"concept"},{"id":"example-0-2","text":"concept sample document number 2 for this supplied dataset.","actual":"concept"},{"id":"example-1-0","text":"procedure sample document number 0 for this supplied dataset.","actual":"procedure"},{"id":"example-1-1","text":"procedure sample document number 1 for this supplied dataset.","actual":"procedure"},{"id":"example-1-2","text":"procedure sample document number 2 for this supplied dataset.","actual":"procedure"},{"id":"example-2-0","text":"example sample document number 0 for this supplied dataset.","actual":"example"},{"id":"example-2-1","text":"example sample document number 1 for this supplied dataset.","actual":"example"},{"id":"example-2-2","text":"example sample document number 2 for this supplied dataset.","actual":"example"},{"id":"example-3-0","text":"assessment sample document number 0 for this supplied dataset.","actual":"assessment"},{"id":"example-3-1","text":"assessment sample document number 1 for this supplied dataset.","actual":"assessment"},{"id":"example-3-2","text":"assessment sample document number 2 for this supplied dataset.","actual":"assessment"}],"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_nRHcXPyzyQPNUlbbnvPdc","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":"Computes the label distribution across up to 200 labelled training text records categorized as concept, procedure, example, or assessment.","exampleAgentPrompt":"I have 120 labelled training records for my text classifier — each tagged as concept, procedure, example, or assessment — can you compute the label distribution so I can see if the classes are balanced?","exampleUseCases":[{"title":"Diagnose class imbalance before training","prompt":"I've got 150 annotated training records tagged as concept, procedure, example, or assessment — can you break down how many records fall into each category so I can spot any class imbalance before I start training my classifier?"},{"title":"Audit educational dataset label spread","prompt":"We've just finished labelling 80 educational text snippets as concept, procedure, example, or assessment. Can you show me the label distribution so we know if any category is underrepresented?"},{"title":"Validate balanced benchmark dataset","prompt":"Here are 200 training records for our benchmark — each tagged concept, procedure, example, or assessment. Run a label distribution check so I can confirm we have a roughly even split across all four categories."}],"resultDescription":"A bounded deliverable summarising the label distribution across all submitted records: counts and/or proportions for each label (concept, procedure, example, assessment), allowing the user to assess class balance in their training dataset.","failureModes":["Fewer than 2 records submitted — minimum items not met","More than 200 records submitted — maximum items exceeded","Record missing required 'id', 'text', or 'actual' field — validation error","Invalid 'actual' value outside enum (concept/procedure/example/assessment) — schema rejection","Payment not processed — 402 response blocking execution"],"whenToPreferThis":"Choose this endpoint when you need a quick, cheap ($0.01 USDC) label distribution summary for a small labelled text dataset (up to 200 records) using the four-class schema of concept/procedure/example/assessment. It is ideal for pre-training data audits, class imbalance checks, and dataset quality validation without needing a hosted model or foundation-model training pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:58:20.470Z","isFirstParty":false,"canonicalSlug":"training-question-label-distribution-9091ffa6"}