datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RADAR_datasetdoom-e1-internet-gameplayI've used the Inverse Dynamic Model, I've previously trained on manually recorded gameplay, on pure gameplay YouTube videos.
This dataset is in public domain, use it however you want.
doom-dense-arnold
DoomDiT dense Arnold recordings
Lossless, per-tic recordings of the Arnold agent (Lample and Chaplot, AAAI 2017) playing ViZDoom deathmatch
with 8 bots on Freedoom assets, made for training action-conditioned world models. Every engine tic
(35 per second) is stored with the executed control vector, so the data can be used at any frame stride.
Recorded September 2026 at CMU for the DoomDiT project (Rohan Nagabhirava, Keerthana Chirumamilla).
What is here… See the full description on the dataset page: https://huggingface.co/datasets/RohanNaga/doom-dense-arnold.doom-e1-gameplayThis is some crappy gameplay of me playing DOOM (1993) first episode ("Knee Deep in Hell") with VizDoom on a resolution of 320x240 to train an Inverse Dynamic Model on DOOM.
Use it how you want. The gameplay is in the public domain.
AGI-CAST-idm-actions
AGI-CAST IDM Actions
We release model-generated keyboard, mouse-click, cursor-movement and scroll annotations for the AGI-CAST-0.6k screencast dataset.
The labels were generated with p-doom/idm, an inverse dynamics model trained to recover user input actions from short windows of screen recordings.
Please refer to the AGI-CAST blog post and the IDM blog post for more context.
Code
These labels were generated with p-doom/idm.
The… See the full description on the dataset page: https://huggingface.co/datasets/p-doom/AGI-CAST-idm-actions.forge-gpt5-doom-mips-3step
forge-gpt5-doom-mips-3step
Harbor evaluation on terminal-bench@2.0: 0/1 resolved (0.0%), 0 errors
Dataset Info
Rows: 1
Columns: 25
Columns
Column
Type
Description
instance_id
Value('string')
Task identifier (e.g. astropy__astropy-12907)
reward
Value('float64')
Verifier reward (e.g. 0.0 or 1.0)
resolved
Value('bool')
Whether the task was resolved (reward > 0)
agent
Value('string')
Agent name used for this trial
model
Value('string')
Model… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/forge-gpt5-doom-mips-3step.forge-gpt5-doom-mips-full
forge-gpt5-doom-mips-full
Harbor evaluation on terminal-bench@2.0: 0/1 resolved (0.0%), 0 errors
Dataset Info
Rows: 1
Columns: 25
Columns
Column
Type
Description
instance_id
Value('string')
Task identifier (e.g. astropy__astropy-12907)
reward
Value('float64')
Verifier reward (e.g. 0.0 or 1.0)
resolved
Value('bool')
Whether the task was resolved (reward > 0)
agent
Value('string')
Agent name used for this trial
model
Value('string')
Model… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/forge-gpt5-doom-mips-full.forge-gpt54-doom-mips-full
forge-gpt54-doom-mips-full
Harbor evaluation on terminal-bench@2.0: 0/1 resolved (0.0%), 0 errors
Dataset Info
Rows: 1
Columns: 25
Columns
Column
Type
Description
instance_id
Value('string')
Task identifier (e.g. astropy__astropy-12907)
reward
Value('float64')
Verifier reward (e.g. 0.0 or 1.0)
resolved
Value('bool')
Whether the task was resolved (reward > 0)
agent
Value('string')
Agent name used for this trial
model
Value('string')
Model… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/forge-gpt54-doom-mips-full.doom_parquet
VizDoom (parquet)
GameNGen-style VizDoom agent gameplay with per-frame discrete actions, re-keyed from
arnaudstiegler/vizdoom-50-episodes-skipframe-4 into the uniform per-frame parquet
schema (one split per game; here doom).
~250k 320x240 RGB frames across 50 episodes. Each frame stores the discrete VizDoom action taken at
that frame (the 18-way button set, ids [0, 17]).
Schema
image — the RGB game frame (Image, JPEG), 320x240
episode — episode id (windows never… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/doom_parquet.lw_questions_from_claude_more_doomdoomppoodokodoko-chan-dataset