Andemand11/minerl-navigate
MineRL Navigate Video Dataset The MineRL dataset was crowd sourced by Guss et al. (2019) for reinforcement learning applications. The dataset shows human players traveling to goal coordinates in procedurally generated 3D worlds of the video game Minecraft, traversing forests, mountains, villages, and oceans. To create a video prediction dataset, we combined the human demonstrations for the Navigate and Navigate Extreme tasks and split them into non-overlapping sequences of… See the full description on the dataset page: https://huggingface.co/datasets/Andemand11/minerl-navigate.
| Author / organization | Andemand11 |
|---|---|
| License (as declared) | mit |
| Downloads | 173 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 11 February 2026 |
| Last updated at source | 12 February 2026 |
Popularity, last 2 days
173 now (-3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: MineRL Navigate Video Dataset The MineRL dataset was crowd sourced by Guss et al. (2019) for reinforcement learning applications. The dataset shows human players traveling to goal coordinates in procedurally generated 3D worlds of the video → MineRL Navigate Video Dataset The MineRL dataset was crowd sourced by Guss et al. (2019) for reinforcement learning applications. The dataset shows human players traveling to goal coordinates in procedurally generated 3D worlds of the video
Changes detected by Silytics between refreshes of the source.
More from Andemand11
- Andemand11/TIMITDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.