[NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other models
active 2025-03-28 → 2026-01-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 305 days from 2025-03-28 to 2026-01-26. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 35 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| yzhangchuck | 1 | 1 | 0 | 0 |
| HelloWorld4747 | 1 | 0 | 0 | 0 |
| JohnHerry | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#37JohnHerry2025-10-31 08:54如果我的大模型训练样本是单句语料，不存在问答对儿关系，怎么使用该方法筛选预训练模型来说IFD打分合适的SFT集合？
- Issue#34HelloWorld47472025-07-15 07:17Training Script For Step 3
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 35 stars here means stars gained during the window, not the repo's star count.