yugi5/Multistepreasoningdecisionmaking
Reasoning Decision-Making Dataset This dataset is designed to support training and evaluation of text generation models focused on reasoning, analysis, and decision-making tasks. Dataset Structure Each sample consists of two fields: instruction: A prompt requiring reasoning, analysis, or decision-making output: A structured and logical response to the instruction Intended Use This dataset is suitable for: Instruction-following models Reasoning… See the full description on the dataset page: https://huggingface.co/datasets/yugi5/Multistepreasoningdecisionmaking.
Reasoning Decision-Making Dataset
This dataset is designed to support training and evaluation of text generation models focused on reasoning, analysis, and decision-making tasks.
Dataset Structure
Each sample consists of two fields:
- instruction: A prompt requiring reasoning, analysis, or decision-making
- output: A structured and logical response to the instruction
Intended Use
This dataset is suitable for:
- Instruction-following models
- Reasoning and planning tasks
- Decision-making simulations
- General text generation evaluation
Data Format
The dataset is provided in JSONL format, with one JSON object per line.
Example
{
"instruction": "Analyze the situation and decide the best action.",
"output": "The system evaluates the available information and selects the most efficient option."
}
