aikoql-training
Training Data Engine for AikoQL — deterministic, validated training/evaluation dataset generation for fine-tuning knowledge-graph retrieval models against an AikoQL knowledge store.
The engine seeds synthetic corpora (AcmePay, NovaEnergy), derives
semantic plans (plan_of/policy_of), renders them into aikoql query
text, certifies grounded answers with evidence, splits
leakage-checked train/val/test sets, and scores fine-tuned models —
with refusal metrics, per-capability scorecards, and grounding
mutation fuzzing. Every step is deterministic and gate-validated
(fail-closed).
Install
pip install aikoql-training
Requires Python 3.9+ and a running aikoql server (the aikoql
package, installed automatically).
CLI
aikoql-training --help # snapshot / generate / validate / stats / eval / export
The dataset pipeline and its contract are documented in the repo:
docs/IMPLEMENTATION-PLAN-TRAINING-DATA.md (plan) and
docs/training-data-architecture.md (architecture, sections 1-35).
License
Apache-2.0.
1 maintainer
Metadata
1 maintainer
Release files for aikoql-training 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| aikoql_training-0.1.0.tar.gz | 122.4 kB | With provenance | Details for aikoql_training-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| aikoql_training-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for aikoql_training-0.1.0-py3-none-any.whl |
Total release size: 196.9 kB
Release files / aikoql_training-0.1.0.tar.gz
| Download URL | aikoql_training-0.1.0.tar.gz |
|---|---|
| Size | 122.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b17eeceb93714bdb56a3846062ab7a733a557b20dcaf5c3986d52e501cde4119
|
|
BLAKE2b-256 checksum How to use checksums |
83c724acf64929ed42f9f050fc97f9bb0cafc67f3dfee2afcbc7e4da669c80cf
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 30, 2026.
Transparency logRelease files / aikoql_training-0.1.0-py3-none-any.whl
| Download URL | aikoql_training-0.1.0-py3-none-any.whl |
|---|---|
| Size | 74.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fbf75b9a23fdd7193a4d41b0e3635a9e6bf912476bae388e1b90fca2ceab08e2
|
|
BLAKE2b-256 checksum How to use checksums |
dedfbcfc1069b63d6150ed1acfa71f3c9a51960f6ef5e66c3c22d4cafd9ba34f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 30, 2026.
Transparency logSecurity for aikoql-training 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
Both files in this release have been uploaded with provenance metadata.
Attestation for aikoql_training-0.1.0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 30, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
