KRAFTON/Orak
Orak: A Benchmark for Training and Evaluating LLM Agents on Diverse Video Games Orak is a benchmark for training and evaluating LLM agents across 12 popular video games spanning 6 major genres. It provides a plug-and-play interface built on Model Context Protocol (MCP) for systematic evaluation, along with a fine-tuning dataset of expert gameplay trajectories to turn general LLMs into effective game agents. Paper: Orak: A Benchmark for Training and Evaluating LLM Agents on… See the full description on the dataset page: https://huggingface.co/datasets/KRAFTON/Orak.
| Author / organization | KRAFTON |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 231 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 25 February 2026 |
| Last updated at source | 26 February 2026 |
Popularity, last 3 days
231 now (-4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Orak: A Benchmark for Training and Evaluating LLM Agents on Diverse Video Games Orak is a benchmark for training and evaluating LLM agents across 12 popular video games spanning 6 major genres. It provides a plug-and-play interface built on → Orak: A Benchmark for Training and Evaluating LLM Agents on Diverse Video Games Orak is a benchmark for training and evaluating LLM agents across 12 popular video games spanning 6 major genres. It provides a plug-and-play interface built on
Changes detected by Silytics between refreshes of the source.
More from KRAFTON
- KRAFTON/Raon-OpenTTS-PoolDataset
- KRAFTON/A2Z-GameSpec-BenchDataset
- KRAFTON/Raon-OpenTTS-EvalDataset
- KRAFTON/VLM-SubtleBenchDataset
- KRAFTON/ArtiBenchDataset
- KRAFTON/KMMAUDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.