bash
Datasets
All datasets matching “bash”PlantMetricDepth
PlantMetricDepth
PlantMetricDepth is a multimodal plant dataset designed for metric monocular depth estimation (MDE) and related plant analysis tasks.
The dataset provides paired stereo RGB images, disparity maps, generated metric depth maps, and plant segmentation masks collected across 15 acquisition days.
The metric depth maps provide dense per-pixel depth supervision in centimetres, enabling models to learn metric depth from a single RGB image at inference time without… See the full description on the dataset page: https://huggingface.co/datasets/BashayerAA/PlantMetricDepth.mcpc-modMichaelYitzchak
UAV Fault Symptom Reports
How to read this project
Problem. At the moment of a UAV incident, the operator describes what is happening or enters the live readings;
the system finds the most similar past faults and shows the class guidance recorded for that fault type, withheld
when the evidence is uncertain; each component has a pass mark set before it was scored. App: MichaelYitzchak/uav-similar-incident-workbench.
Step
Notebook
Course part
1… See the full description on the dataset page: https://huggingface.co/datasets/Bashifu/MichaelYitzchak.ShIO-bash-26.1
ShIO-bash-26.1
Shell input-output (ShIO) Bash dataset produced by ShIOEnv, a Gymnasium-compatible Bash environment designed to collect execution-annotated command interactions in a Linux system.
Dataset summary
The dataset consists of command-line inputs paired with their execution artifacts, including observable outputs and a structured representation of environment state changes. Samples are produced by executing synthesized Bash inputs inside a… See the full description on the dataset page: https://huggingface.co/datasets/jragsdale1/ShIO-bash-26.1.bashbench2
BashBench2
A successor in spirit to the original BashBench, this dataset is intended for high-stakes agentic control research using current and near-future frontier models.
The code required to set up and run these tasks is located in ControlArena.
bash-instruct-III-55k
Bash Instruct III — 54,360 verified natural-language → Bash pairs
Bash Instruct III is a synthetic instruction-tuning dataset that maps natural-language
requests to correct Bash: single commands, short pipelines, and multi-line scripts. It
is built for supervised fine-tuning of small and mid-size LLMs that must turn a plain
request into shell code that actually runs.
Every row is a three-turn chat conversation (system / user / assistant) with metadata
for slicing (category… See the full description on the dataset page: https://huggingface.co/datasets/Frost2o24/bash-instruct-III-55k.