A unifier for IR datasets
Project description
unir — a unifier for IR datasets
unir provides a unified abstraction layer to load, normalize, and prepare heterogeneous IR datasets for training.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
unir-0.1.0.tar.gz
(29.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
unir-0.1.0-py3-none-any.whl
(2.4 kB
view details)
File details
Details for the file unir-0.1.0.tar.gz.
File metadata
- Download URL: unir-0.1.0.tar.gz
- Upload date:
- Size: 29.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c8243ac757c0b9ca1e0fd5e34c59f8e4c732fc6ecf3cc1387963ceec6a020d13
|
|
| MD5 |
baf05da11ac559b193cfd66e577a979f
|
|
| BLAKE2b-256 |
169cfa9a79489d9927f9b9900e8f947a64fcc8789cf30c9aedd4eaa31cade302
|
File details
Details for the file unir-0.1.0-py3-none-any.whl.
File metadata
- Download URL: unir-0.1.0-py3-none-any.whl
- Upload date:
- Size: 2.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b5776933f82438580f750bce2335575022cfb8bde2ca47c26daf82e7672330be
|
|
| MD5 |
0e4a37aa9b825ecb253f003b4870b2f4
|
|
| BLAKE2b-256 |
bbe7e2d94b5d86a81a95b5836b078edeb7308bb1a9473bc103b45a157992f4c6
|
