license:mit region:us
---
license: mit
dataset_info:
  features:
  - name: instruction
    dtype: string
  - name: input
    dtype: string
  - name: output
    dtype: string
  splits:
  - name: train
    num_bytes: 140945974
    num_examples: 52507
  download_size: 58938956
  dataset_size: 140945974
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

Explain tuned WizardLM dataset ~55K created using approaches from Orca Research Paper.

We leverage all of the 15 system instructions provided in Orca Research Paper. to generate custom datasets, in contrast to vanilla instruction tuning approaches used by original datasets.

This helps student models like orca_mini_13b to learn thought process from teacher model, which is ChatGPT (gpt-3.5-turbo version).