AkashPriyadarshii / jev-curate
High-throughput synthetic and pretraining dataset sifter for TypeSafe Jev. Rust streaming core, Parquet and JSONL I/O, typed Choice/Score/Noul judgments, speculative fan-out, 24.0 rows/sec measured.
Why this job: topics: fine-tuning, synthetic-data
What it does
Measured: 23.9 rows/sec single-node local mock (bash bench/run_mock.sh, results in bench/results/mock.json). Not measured: 1,500+ rows/sec is a horizontal-scaling target, not a benchmark result.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 110
- +5 this week
- Licence
- MIT
- Allows business use
- Downloads for
- 3 systems
- Mac, Windows, Linux
- Latest version
- v0.2.0-beta
- Released 38 days ago
- Built with
- Rust
- 100% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 50% closed
- 2 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- 3
- 3 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: download files, languages, topics, project record and preview image
Download files, v0.2.0-beta
- Mac2 files, 2 downloads
- Windows2 files, 2 downloads
- Linux4 files, 5 downloads
Languages
- Rust 100%
- Shell <1%
Topics
- arrow
- cli
- data-cleaning
- data-engineering
- dataset-curation
- eval-harness
- fine-tuning
- jev
- jsonl
- llm
- parquet
- polars
Project record
- JobFine-tuning
- StatusListed
- Commits85
- Forks14
- Watching1
- Stars in 28 days+5
- CreatedSep 18, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026