# liamdugan/raid

<https://repo.masters-masters.com/en/repos/liamdugan/raid>

[Home](https://repo.masters-masters.com/en) › [liamdugan](https://repo.masters-masters.com/en/owners/liamdugan) › [raid](https://repo.masters-masters.com/en/repos/liamdugan/raid)

liamdugan/raid has 224 stars on GitHub. Its RepoMasters card: Prototype tier. RAID is the largest and most challenging benchmark for AI-generated text…

| Field | Value |
| --- | --- |
| Owner | [liamdugan](https://repo.masters-masters.com/en/owners/liamdugan) |
| Stars | 224 |
| Forks | 107 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | benchmark, detection, generated-text, generated-text-detection, acl2024, ai-generated, ai-generated-text, ai-generated-text-detection, nlp |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [liamdugan/raid](https://github.com/liamdugan/raid) |

## Repository

RAID is the largest and most challenging benchmark for AI-generated text detection. (ACL 2024)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Python

- [sitimas9/cdcrafthh · ★ 224 · Python · Prototype](https://repo.masters-masters.com/en/repos/sitimas9/cdcrafthh)
- [martin-marek/score-centering · ★ 224 · Python · Prototype](https://repo.masters-masters.com/en/repos/martin-marek/score-centering)
- [Zihan-Su/Self\_Gradient\_Forcing\_Plus · ★ 224 · Python · Prototype](https://repo.masters-masters.com/en/repos/Zihan-Su/Self_Gradient_Forcing_Plus)
- [heynemann/pyccuracy · ★ 224 · Python · Prototype](https://repo.masters-masters.com/en/repos/heynemann/pyccuracy)
- [bashu/django-tracking · ★ 224 · Python · Prototype](https://repo.masters-masters.com/en/repos/bashu/django-tracking)
- [StephenPower/CollectorCity-Market-Place · ★ 224 · Python · Prototype](https://repo.masters-masters.com/en/repos/StephenPower/CollectorCity-Market-Place)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
