Dataset Viewer
Auto-converted to Parquet Duplicate
conversations
listlengths
2
64
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...
End of preview. Expand in Data Studio
#########################################################################
#  _____                   _             _          ______________      #
# |_   _|__ _ __ _ __ ___ (_)_ __   __ _| |        ||            ||     #
#   | |/ _ \ '__| '_ ` _ \| | '_ \ / _` | |        || >          ||     #
#   | |  __/ |  | | | | | | | | | | (_| | |        ||            ||     #
#   |_|\___|_|  |_| |_| |_|_|_| |_|\__,_|_|        ||____________||     #
#   ____                            _              |______________|     #
#  |  _ \ ___  __ _ ___  ___  _ __ (_)_ __   __ _  \\############\\     #
#  | |_) / _ \/ _` / __|/ _ \| '_ \| | '_ \ / _` |  \\############\\    #
#  |  _ <  __/ (_| \__ \ (_) | | | | | | | | (_| |   \      ____    \   #
#  |_| \_\___|\__,_|___/\___/|_| |_|_|_| |_|\__, |    \_____\___\____\  #
#                                           |___/                       #
#########################################################################

Welcome to Terminal-Reasoning-SFT

Terminal-Reasoning-SFT is a chat-style Supervised Fine-Tuning (SFT) dataset built for terminal / command-line reasoning.

  • Rows: 15,209 (train split only)
  • Size: ~430 MB
  • Language: English (primarily)
Downloads last month
5

Models trained or fine-tuned on DedeProGames/Terminal-Reasoning-SFT