data-designer-config
Configuration layer for NeMo Data Designer synthetic data generation framework.
This package provides the configuration API for defining synthetic data generation pipelines. It's a lightweight dependency that can be used standalone for configuration management.
Installation
pip install data-designer-config
Usage
import data_designer.config as dd
# Initialize config builder with model config(s)
config_builder = dd.DataDesignerConfigBuilder(
model_configs=[
dd.ModelConfig(
alias="my-model",
model="nvidia/nemotron-3.5-lightning-30b-a3b",
provider="nvidia",
inference_parameters=dd.ChatCompletionInferenceParams(temperature=0.7),
),
]
)
# Add columns
config_builder.add_column(
dd.SamplerColumnConfig(
name="user_id",
sampler_type=dd.SamplerType.UUID,
params=dd.UUIDSamplerParams(prefix="user-"),
)
)
config_builder.add_column(
dd.LLMTextColumnConfig(
name="description",
prompt="Write a product description",
model_alias="my-model",
)
)
# Build configuration
config = config_builder.build()
See main README.md for more information.
1 maintainer
Metadata
1 maintainer
Release files for data-designer-config 0.9.6
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 | |
|---|---|---|---|---|
| data_designer_config-0.9.6.tar.gz | 153.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| data_designer_config-0.9.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 282.9 kB
Release files / data_designer_config-0.9.6.tar.gz
| Download URL | data_designer_config-0.9.6.tar.gz |
|---|---|
| Size | 153.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
72d1d1c958ec62ac35637cca133c358abafa001b9aa6609b41deb2c3fc62597a
|
|
BLAKE2b-256 checksum How to use checksums |
5a42370c8602147783272f46fcd0978ef23fc482d8231c5a6ab126a29859a788
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.3
|
Release files / data_designer_config-0.9.6-py3-none-any.whl
| Download URL | data_designer_config-0.9.6-py3-none-any.whl |
|---|---|
| Size | 129.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
06385cbad54869babb6f3bceef8ae873c177ceeba209c128311c8d01baf556b3
|
|
BLAKE2b-256 checksum How to use checksums |
2b4b16a9586b6562e5e104b8b6993af58f5554179d6dc26fd3ec55b3d425110e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.3
|
Security for data-designer-config 0.9.6
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A 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.
