Observed since 20 Oct, 17:05 UTC
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aatgraph
A reductive Agent-Action-Target (AAT) model of natural-language syntax, plus a DSPy-based pipeline applying it to English.
See release history.
aat is a python package leveraging LMs with dspy to apply a reductive model of natural-language syntax called Agent-Action-Target (AAT) to citable text in English. The AAT model is documented in aat-model.md.
Documentation is being added on the project's github pages. (Currently includes several pages of AI slop that need to be edited.)
See the project issue tracker for known gaps and work in progress or to submit an issue.
Released under the GNU General Public License v3 or later.
Four score and seven years ago our fathers brought forth, upon this continent, a new nation, conceived in Liberty, and dedicated to the proposition that all men are created equal.
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| Package / target | Requirement | Relationship |
|---|---|---|
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"requires_python": ">=3.10",
"evaluation": "NOT_EVALUATED"
} | pydantic>=2.0 | runtime |
dspyEnvironment{
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"marker": "extra == \"english\"",
"requires_python": ">=3.10",
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} | dspy>=3.0; extra == "english" | runtime |
dspyEnvironment{
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bdist_wheel · 61.18 KB · Python py3
sdist · 71.74 KB · Python source
Observed since 20 Oct, 17:05 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
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