IFM/guru-RL-92k
Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective Dataset Description Guru is a curated six-domain dataset for training large language models (LLM) for complex reasoning with reinforcement learning (RL). The dataset contains 91.9K high-quality samples spanning six diverse reasoning-intensive domains, processed through a comprehensive five-stage curation pipeline to ensure both domain diversity and reward verifiability.… See the full description on the dataset page: https://huggingface.co/datasets/IFM/guru-RL-92k.
| Author / organization | IFM |
|---|---|
| License (as declared) | mit |
| Downloads | 1.7K (as reported by Hugging Face) |
| Likes | 47 |
| Created | 3 June 2025 |
| Last updated at source | 20 August 2025 |
Popularity, last 3 days
1,695 now (+42 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from IFM
- IFM/Pretrain-BehaviorsDataset
- IFM/Math-ReasoningDataset
- IFM/MegaMathDataset
- IFM/TxT360-v2Dataset
- IFM/Code-ReasoningDataset
- IFM/TxT360Dataset
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 Information may be incomplete or out of date.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.