dataset▌

Stage 2 of the Clinical ASR Flywheel. Use when curating clinical terms, tagging IPA, and synthesizing a NeMo manifest. NOT for scoring (use /digital-health-clinical-asr-eval).

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Creates executable scripts or direct data files for immediate use.

Create, manage, and upload evaluation datasets to LangSmith for testing and validation. \n \n Supports four dataset types: final_response (full conversations), single_step (individual node behavior), trajectory (tool call sequences), and RAG (question/chunks/answer/citations) \n CLI commands for dataset lifecycle management: create, list, get, delete, export, and upload from local JSON files \n SDK-based dataset creation in Python and JavaScript with programmatic example addition \n Example mana