datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mental_rotation_2d_v22d_dungeon_flier_video_balanced
2D Dungeon Flier Video: Balanced Causal Splits
This dataset is a split-safe, balanced augmentation of osazuwa/2d_dungeon_flier_video. It reuses all 10,000 source episodes exactly once and adds 3,100 episodes from the same simulator. There is no clip overlap across splits.
Each episode is a 14-second MP4 with 140 frames at 10 FPS and a stored resolution of 900 x 540 pixels. Matching NPZ files contain the nine-variable causal trace, action tokens, and intervention encoding.
Every… See the full description on the dataset page: https://huggingface.co/datasets/osazuwa/2d_dungeon_flier_video_balanced.mental_rotation_2dunet-2d2d-webmcp-browser-focus
2D WebMCP Browser Focus (Prerelease)
What this is
This is an early test of whether agents need useful tool results to complete an accessible browser task.
The agent must add a Retry step to a workflow, connect it correctly, and move keyboard focus to that new step. The test checks the real browser, not just the agent's final answer.
What happened
We ran each version 20 times with gpt-5-mini using low reasoning effort.
Tool result
Verified… See the full description on the dataset page: https://huggingface.co/datasets/accesslint/2d-webmcp-browser-focus.Unet__2dpacman_2d_ultrahard_remap_imagined_rollout_5000
Pacman Ultrahard Source-Based Imagined Rollout Dataset
Source: novastar112/visgym_pacman_2d_remap
Task: pacman_2d_ultrahard_v0
Records: 5,000
Files:
trajectories/pacman_imagined_rollout.jsonl.gz: source trajectory records with one selected step containing four imagined one-step side rollouts.
transitions/pacman_imagined_rollout_transitions.jsonl.gz: flattened real and imagined transitions for world-model training.
training/pacman_interleaved_cot.jsonl.gz: full-trajectory VQA-style… See the full description on the dataset page: https://huggingface.co/datasets/novastar112/pacman_2d_ultrahard_remap_imagined_rollout_5000.visgym_pacman_2d_random
VisGym Pacman2D Random Policy World-Model Trajectories
This dataset contains random-policy interaction trajectories for the custom VisGym Pacman2D environment.
Each row is one environment trajectory. The history entries include image_prev, image, and
image_next base64 JPEG frames, the prompt shown at the step, the sampled action, reward, and
environment info. The policy samples move actions uniformly and samples the valid stop action with
the configured random stop probability after… See the full description on the dataset page: https://huggingface.co/datasets/novastar112/visgym_pacman_2d_random.toy_maze_2d_hard_allstep_thinking_future_rollout_cot_500k
ToyMaze2D Hard All-Step Future-Rollout COT
This dataset is generated from the local VisGym ToyMaze2D maze_2d/hard environment.
Rows:
train/: 500,000 gzip-compressed JSONL rows.
test/: 100 gzip-compressed JSONL rows.
Each row is a full trajectory conversation. Every user turn stores a prompt and
one JPEG image item with image_prev, image, and image_next; image_prev == image
is validated for every step, and the final step has image_next == image.
Two non-stop move steps per… See the full description on the dataset page: https://huggingface.co/datasets/novastar112/toy_maze_2d_hard_allstep_thinking_future_rollout_cot_500k.toy_maze_2d_easy_allstep_thinking_future_rollout_cot_500k
ToyMaze2D Easy All-Step Future-Rollout COT
This dataset is generated from the local VisGym ToyMaze2D maze_2d/easy environment.
Rows:
train/: 500,000 gzip-compressed JSONL rows.
test/: 100 gzip-compressed JSONL rows.
Each row is a full trajectory conversation. Every user turn stores a prompt and
one JPEG image item with image_prev, image, and image_next; image_prev == image
is validated for every step, and the final step has image_next == image.
Two non-stop move steps per… See the full description on the dataset page: https://huggingface.co/datasets/novastar112/toy_maze_2d_easy_allstep_thinking_future_rollout_cot_500k.visgym_pacman_2d_remap
VisGym Pacman2D Deterministic Trajectories
This dataset contains behavior-cloning trajectories for the custom VisGym Pacman2D environment.
Each row is one successful oracle episode. The history entries include image_prev, image, and
image_next; no synthetic thinking traces are stored. Images are JPEG base64 strings rendered from
the greyblue9/pacman-python visual assets used by the environment.
Environment summary:
Grid size is constrained to 7x7 through 12x12.
Easy uses the 9x9… See the full description on the dataset page: https://huggingface.co/datasets/novastar112/visgym_pacman_2d_remap.AgentFEM-MultiSource-Heat-2D
AgentFEM · Multi-source heat conduction
Two smooth volumetric heat sources in a rectangular conducting plate. Learn how source placement, spread, intensity, geometry and conductivity shape the temperature field.
256 independently solved parameter sets · full meshes and fields · 192 / 32 / 32 split · CC BY 4.0
Built with AgentFEM. A small, reproducible engineering dataset for surrogate learning, field prediction and numerical-method experiments.
Physical problem… See the full description on the dataset page: https://huggingface.co/datasets/HaomingLuo/AgentFEM-MultiSource-Heat-2D.