datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
complex-queries-with-multi-step-reasoning-with-reasoningclinical_multi_step_diagnostic_reasoning_v1multi_step_reasoning_kazakh_context
🇰🇿 Multi-step Reasoning for Kazakh Context
A high-quality dataset designed for complex reasoning, question answering, and text generation tasks in the Kazakh language.
📊 Dataset Statistics
General Metrics
Metric
Count
Total Samples
10,981
Total Words (approx.)
6,652,450
Avg. Tokens per Sample
605
Word Count Distribution (Per Field)
The following table details the distribution of word counts across different… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/multi_step_reasoning_kazakh_context.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… See the full description on the dataset page: https://huggingface.co/datasets/yugi5/Multistepreasoningdecisionmaking.multi_step_quantitative_reasoning_v1multi_step_reasoning_simulation