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HEDit

PyPI version Tests

Convert natural language event descriptions into valid HED (Hierarchical Event Descriptors) annotations.

Part of the Annotation Garden Initiative.

Installation

# Default (lightweight API client, ~100MB)
pip install hedit

# Standalone mode (run locally without backend, ~2GB)
pip install hedit[standalone]

Quick Start

# Initialize the CLI (API mode needs no key; add an Anthropic key for BYOK)
hedit init

# Generate HED annotation from text
hedit annotate "participant pressed the left button"

# Generate HED from an image
hedit annotate-image stimulus.png

# Validate a HED string
hedit validate "Sensory-event, Visual-presentation"

Commands

Command Description
hedit init Configure API key and preferences
hedit annotate "text" Convert natural language to HED
hedit annotate-image <file> Generate HED from image
hedit validate "HED-string" Validate HED annotation
hedit health Check service status
hedit config show Display configuration

Options

hedit annotate "text" -o json          # JSON output for scripting
hedit annotate "text" --schema 8.3.0   # Specific HED schema version
hedit annotate "text" --standalone     # Run locally (requires hedit[standalone])

How It Works

HEDit uses a multi-agent system (LangGraph) with feedback loops:

  1. Annotation Agent - Generates initial HED tags
  2. Validation Agent - Checks syntax and tag validity
  3. Evaluation Agent - Assesses faithfulness to input
  4. Assessment Agent - Identifies missing elements

Annotations are automatically refined until validation passes.

Links

License

MIT

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