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$ show WorksApplications/SudachiDict

[account ↗] [repo ↗] DATA_RESEARCH ★ 310 22 ● active (last update 3 weeks ago)
reviewed by: nvidia/nemotron-3-super-120b-a12b

SudachiDict is a repository that provides linguistic data resources for the Sudachi Japanese tokenizer. It processes raw dictionary CSV files (sourced from UniDic and NEologd) into binary dictionary files in three editions: Small (UniDic only), Core (basic vocabulary), and Full (includes proper nouns). The repository includes automated build scripts to compile these dictionaries, packaging utilities to distribute them as Java/Maven artifacts and Python packages, and test suites to verify correctness. While it contains some application-like elements (build scripts, packaging), its primary function is data curation and distribution for NLP use cases.

RATING8.1/10
QUALITY7.5/10
MAINTENANCEactive
DRIFTlow
REPRODUCIBILITY7.0/10
CONTRIBUTORS14
VELOCITY0.53
OPEN ISSUES21
CLOSED ISSUES12
LAST COMMIT3 weeks ago
Files by Type (count)
Python
7
Markdown
4
Java
4
Text
3
YAML
2
Other (no ext)
2
Other (.gradle)
2
Shell
2
Other (.properties)
2
Git Ignore
1
Other (.jar)
1
Other (.bat)
1
Files by Type (size)
Text
2MB
Other (.jar)
60KB
Markdown
17KB
Python
16KB
Other (no ext)
14KB
Java
7KB
Other (.gradle)
5KB
Shell
4KB
Other (.bat)
2KB
Git Ignore
2KB
YAML
513B
Other (.properties)
355B

The LLM identified 2 files worth highlighting for reuse:

Implements AWS credential caching with MFA support. Solves the recurring problem of securely handling AWS MFA in automation scripts by caching session tokens and validating their freshness before reuse. Isolated from project-specific code (only uses boto3 and standard library), making it easily extractable for other projects requiring AWS access with MFA.

file: scripts/aws_common.py ↗ | tags: #aws-credentials #mfa #security-pattern

Generates browsable HTML indexes of S3-hosted files. Creates a traditional web directory-like interface for S3 buckets, solving the common need to make cloud-hosted data collections accessible via web browsers. Uses clean separation of concerns with DocumentRenderer and DocStructure classes for HTML generation, has no external dependencies beyond standard library, and could be reused for any S3-hosted file collection requiring a web index.

file: scripts/raw_listing.py ↗ | tags: #s3-indexing #html-generation #templating-pattern
Last analyzed: 2026-08-04 11:12:58.622481
Next check: 2026-09-25 09:34:06.829666
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