# opendatalab/Meta-rater

<https://repo.masters-masters.com/en/repos/opendatalab/Meta-rater>

[Home](https://repo.masters-masters.com/en) › [opendatalab](https://repo.masters-masters.com/en/owners/opendatalab) › [Meta-rater](https://repo.masters-masters.com/en/repos/opendatalab/Meta-rater)

opendatalab/Meta-rater has 197 stars on GitHub. Its RepoMasters card: Prototype tier. \[ACL 2025 Best Theme Paper\] This is the official implementation for the…

| Field | Value |
| --- | --- |
| Owner | [opendatalab](https://repo.masters-masters.com/en/owners/opendatalab) |
| Stars | 197 |
| Forks | 16 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2025 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [opendatalab/Meta-rater](https://github.com/opendatalab/Meta-rater) |

## Repository

\[ACL 2025 Best Theme Paper\] This is the official implementation for the paper: "Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models"

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

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