Skip to main content

unir — a unifier for IR datasets

unir provides a unified abstraction layer to load, normalize, and prepare heterogeneous IR datasets for training.

Metadata

Release files for unir 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for unir 0.1.0
File Size Uploaded Provenance Actions
unir-0.1.0.tar.gz 29.0 kB Without provenance Details for unir-0.1.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for unir 0.1.0
File Interpreter ABI Platform Actions
unir-0.1.0-py3-none-any.whl Python 3 none any Details for unir-0.1.0-py3-none-any.whl

Total release size: 31.4 kB

Release files / unir-0.1.0.tar.gz

Download URL unir-0.1.0.tar.gz
Size 29.0 kB
Tags Source
SHA-256 checksum
How to use checksums
c8243ac757c0b9ca1e0fd5e34c59f8e4c732fc6ecf3cc1387963ceec6a020d13
BLAKE2b-256 checksum
How to use checksums
169cfa9a79489d9927f9b9900e8f947a64fcc8789cf30c9aedd4eaa31cade302
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.14

Release files / unir-0.1.0-py3-none-any.whl

Download URL unir-0.1.0-py3-none-any.whl
Size 2.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b5776933f82438580f750bce2335575022cfb8bde2ca47c26daf82e7672330be
BLAKE2b-256 checksum
How to use checksums
bbe7e2d94b5d86a81a95b5836b078edeb7308bb1a9473bc103b45a157992f4c6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.14

Security for unir 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.

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.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page