bleuscore
bleuscore
is a fast BLEU score calculator written in rust. You can check try the web demo here for a quick experience.
Installation
The python package has been published to pypi, so we can install it directly:
uv:uv add bleuscorepip:pip install bleuscore
Quick Start
The usage is exactly same with huggingface evaluate:
- import evaluate
+ import bleuscore
predictions = ["hello there general kenobi", "foo bar foobar"]
references = [
["hello there general kenobi", "hello there !"],
["foo bar foobar"]
]
- bleu = evaluate.load("bleu")
- results = bleu.compute(predictions=predictions, references=references)
+ results = bleuscore.compute(predictions=predictions, references=references)
print(results)
# {'bleu': 1.0, 'precisions': [1.0, 1.0, 1.0, 1.0], 'brevity_penalty': 1.0,
# 'length_ratio': 1.1666666666666667, 'translation_length': 7, 'reference_length': 6}
Benchmark
TLDR: We got more than 10x speedup when the corpus size beyond 100K
We use the demo data shown in quick start to do this simple benchmark. You can check the benchmark/simple for the benchmark source code. Detailed per-PR results are tracked automatically via the Benchmark workflow.
1 maintainer
Metadata
1 maintainer
Release files for bleuscore 0.2.0
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 |
|---|---|---|---|---|
| bleuscore-0.2.0.tar.gz | 29.8 kB | Without provenance | Details for bleuscore-0.2.0.tar.gz |
Built distributions (wheels)
| File | Actions Reset | |||
|---|---|---|---|---|
| bleuscore-0.2.0-cp38-abi3-win_amd64.whl | CPython 3.8 | abi3 | Windows x86-64 | Details for bleuscore-0.2.0-cp38-abi3-win_amd64.whl |
| bleuscore-0.2.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.8 | abi3 | Linux glibc 2.17+ x86-64 | Details for bleuscore-0.2.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
| bleuscore-0.2.0-cp38-abi3-manylinux_2_12_i686.manylinux2010_i686.whl | CPython 3.8 | abi3 | Linux glibc 2.12+ x86-32 | Details for bleuscore-0.2.0-cp38-abi3-manylinux_2_12_i686.manylinux2010_i686.whl |
| bleuscore-0.2.0-cp38-abi3-macosx_11_0_arm64.whl | CPython 3.8 | abi3 | macOS 11.0+ ARM64 | Details for bleuscore-0.2.0-cp38-abi3-macosx_11_0_arm64.whl |
Total release size: 3.1 MB
Release files / bleuscore-0.2.0.tar.gz
| Download URL | bleuscore-0.2.0.tar.gz |
|---|---|
| Size | 29.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.13.1
|
Release files / bleuscore-0.2.0-cp38-abi3-win_amd64.whl
| Download URL | bleuscore-0.2.0-cp38-abi3-win_amd64.whl |
|---|---|
| Size | 725.6 kB |
| Tags | CPython 3.8 Windows x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.13.1
|
Release files / bleuscore-0.2.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | bleuscore-0.2.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 808.4 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.13.1
|
Release files / bleuscore-0.2.0-cp38-abi3-manylinux_2_12_i686.manylinux2010_i686.whl
| Download URL | bleuscore-0.2.0-cp38-abi3-manylinux_2_12_i686.manylinux2010_i686.whl |
|---|---|
| Size | 802.0 kB |
| Tags | CPython 3.8 Linux glibc 2.12+ x86-32 abi3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.13.1
|
Release files / bleuscore-0.2.0-cp38-abi3-macosx_11_0_arm64.whl
| Download URL | bleuscore-0.2.0-cp38-abi3-macosx_11_0_arm64.whl |
|---|---|
| Size | 705.8 kB |
| Tags | CPython 3.8 abi3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.13.1
|
Security for bleuscore 0.2.0
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