terminal-agent
agent-task-terminal-lego-15k
Apptainer pool for hamishivi/agent-task-terminal-lego-15k
This repository hosts tmax-compatible SIF images and a unified download manifest. Training data and task archives are in hamishivi/agent-task-terminal-lego-15k. The manifest includes earlier images hosted under hamishivi and new images hosted under TMaxxx; the downloader selects the correct repository and immutable commit for each image.
Apptainer images
The pool currently contains 15,048 / 15,048 verified… See the full description on the dataset page: https://huggingface.co/datasets/TMaxxx/agent-task-terminal-lego-15k.agent-task-facet-terminal-6k
Apptainer pool for hamishivi/agent-task-facet-terminal-6k
This repository hosts tmax-compatible SIF images and a unified download manifest. Training data and task archives are in hamishivi/agent-task-facet-terminal-6k. The manifest includes earlier images hosted under hamishivi and new images hosted under TMaxxx; the downloader selects the correct repository and immutable commit for each image.
Apptainer images
The pool currently contains 6,020 / 6,020 verified… See the full description on the dataset page: https://huggingface.co/datasets/TMaxxx/agent-task-facet-terminal-6k.Nemotron-RL-Agentic-Terminal-Pivot-v1
Dataset Description
The Nemotron-RL-Agentic-Terminal-Pivot-v1 dataset provides training samples for reinforcement learning of command-line ("terminal use") LLM agents with the terminus_judge environment in NeMo Gym.
Each record is a single agent decision point extracted from a successful agent trajectory on a terminal task:
responses_create_params.input — the prompt: the task instruction plus the terminal interaction history (prior agent actions and terminal outputs) up to the… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-RL-Agentic-Terminal-Pivot-v1.agent-task-litecoder-terminal-rl-preview
LiteCoder-Terminal-RL-preview for tmax
All 602 task directories from Lite-Coder/LiteCoder-Terminal-RL-preview, pinned to 6fe7e994ff12d678de9b803da5c9907c8394a89c, converted to tmax's swerl_vanillux_sandbox format.
The train split uses the same messages, ground_truth, dataset, env_config, and source schema as the other hamishivi/agent-task-* datasets. Messages use the tmax Vanillux templates; dataset is passthrough. Task IDs are prefixed with litecoder_terminal_rl__ to avoid… See the full description on the dataset page: https://huggingface.co/datasets/hamishivi/agent-task-litecoder-terminal-rl-preview.agent-task-litecoder-terminal-rl-preview
Apptainer pool for hamishivi/agent-task-litecoder-terminal-rl-preview
This repository hosts tmax-compatible SIF images and a unified download manifest. Training data and task archives are in hamishivi/agent-task-litecoder-terminal-rl-preview. The manifest includes earlier images hosted under hamishivi and new images hosted under TMaxxx; the downloader selects the correct repository and immutable commit for each image.
Apptainer images
The pool currently contains… See the full description on the dataset page: https://huggingface.co/datasets/TMaxxx/agent-task-litecoder-terminal-rl-preview.agent-task-facet-terminal-6k
FACET-Terminal-Tasks-6k for tmax
Images require building: the complete dataset and build contexts are included. Image builds are deferred; run the resumable script below before using these environments.
All 6,020 task directories from FACET-Terminal/FACET-Terminal-Tasks-6k, pinned to b2d02645932e3989c8332a41e57d0f0855de7002, converted to tmax's swerl_vanillux_sandbox format.
The train split uses the same messages, ground_truth, dataset, env_config, and source schema as the other… See the full description on the dataset page: https://huggingface.co/datasets/hamishivi/agent-task-facet-terminal-6k.