---
dataset_info:
  features:
  - name: conversations
    list:
    - name: content
      dtype: string
    - name: role
      dtype: string
  splits:
  - name: train
    num_bytes: 298946
    num_examples: 1414
  download_size: 295950
  dataset_size: 298946
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- question-answering
language:
- en
tags:
- patterns
pretty_name: Puzzles and Patterns
size_categories:
- 1K<n<10K
---

# Puzzles and Patterns 1k
This is a SUPER simple dataset containing ~1400 short puzzles, mostly based around numbers. The intention of this dataset is to teach reasoning LLMs to recognize patterns as fast and effectively as possible.

## Why no reasoning content?
I have decided to exclude reasoning from this dataset entirely, this dataset should be used in training base on answer, which encourages exploration by the model, rather than purely mimicking a style.