Kwai-Klear/GoLongRL
Dataset Summary This dataset is the RL training dataset for GoLongRL, targeting long-context capabilities of language models. It contains 23K training samples in total, with 9 types of reward functions. You can load the dataset using: from datasets import load_dataset dataset = load_dataset("Kwai-Klear/GoLongRL") See our paper and GitHub repository for more details. Resource Link ๐ Preprints Paper ๐ค Daily Paper Paper ๐ค Model Hub GoLongRL-4B(w. tmn-reweight)โฆ See the full description on the dataset page: https://huggingface.co/datasets/Kwai-Klear/GoLongRL.
| Author / organization | Kwai-Klear |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 657 (as reported by Hugging Face) |
| Likes | 23 |
| Created | 19 May 2026 |
| Last updated at source | 26 May 2026 |
Connected in the knowledge graph
- Kwai-Klear/GoLongRL-30B-A3BModel ยท used to train
- mradermacher/GoLongRL-30B-A3B-GGUFModel ยท used to train
- mradermacher/GoLongRL-30B-A3B-i1-GGUFModel ยท used to train
Recent changes
- 16 Oct 2026 Description: Dataset Summary This dataset is the RL training dataset for GoLongRL, targeting long-context capabilities of language models. It contains 23K training samples in total, with 9 types of reward functions. You can load the dataset using: from โ Dataset Summary This dataset is the RL training dataset for GoLongRL, targeting long-context capabilities of language models. It contains 23K training samples in total, with 9 types of reward functions. You can load the dataset using: from
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