datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
open-command
OpenCommand
Catcher targets and pitcher command for MLB, inferred from broadcast video.
OpenCommand scores command using the pitch location's distance from target.
This dataset contains the 2024/2025/2026 computer vision object detections, every intermediate the pipeline writes, and the resulting command scores. The pipeline itself and the full method write-up live at github.com/tomdoyo/open-command.
Download
hf download tomdoyo/open-command --repo-type dataset… See the full description on the dataset page: https://huggingface.co/datasets/tomdoyo/open-command.oxe-magic-soup-plus-nl-commands
OXE Magic Soup++ Natural Language Commands
Per-step natural-language instructions extracted from the datasets in the OpenVLA oxe_magic_soup_plus mixture of Open X-Embodiment (OXE). Source datasets were downloaded and preprocessed with rlds_dataset_mod, following OpenVLA, then processed with oxe-stats.
Files
One CSV per source dataset:
oxe-<dataset>_nl_only.csv — train split
oxe-<dataset>_validation_nl_only.csv — all non-train splits, merged
Columns… See the full description on the dataset page: https://huggingface.co/datasets/agnesluhtaru/oxe-magic-soup-plus-nl-commands.permission-command-corpus
Permission Command Corpus
Three views of a command-safety corpus, for local command-risk classification in
front of an LLM or a tool bridge.
gold: trusted rows, 321 in total across three splits
silver_weak_labels: mined weak-label rows from Sigma, LOLBAS, GTFOBins,
Atomic Red Team and Falco, kept as useful but not promoted to gold
review_queue: unresolved rows that should not be treated as trusted
training data
Read this before training on it
Findings from 30… See the full description on the dataset page: https://huggingface.co/datasets/cowWhySo/permission-command-corpus.linux_commandsrobotics-command-actuation-coherence-loss-v0.1What this repo is for
You use it to detect when a robot sends the right command but the hardware does not execute it faithfully.
It captures deployment failures such as:
controller instability
actuator saturation
excessive latency
torque or thrust limits exceeded
feedback diverging from command
Applies to:
industrial robot arms
AMRs and mobile bases
drones
grippers and end effectors
Prompt format
Return exactly one token
coherent or incoherent
Humanoid-Basic-Motion-Command-Dataset-v1voice_command_logger
viet-robot-light-scenes
A small synthetic dataset of preferred lighting scenes for a smart home.
Columns:
id: row id
scene_id: identifier of the lighting scene
room: room name
time_of_day: morning, afternoon, evening, night
activity: short description
brightness_pct: 0–100
color_temp_k: approximate color temperature in Kelvin
note_en: short English note
For demo and educational purposes only.
License
MIT