
Explain tuned Alpaca dataset ~52K 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](https://huggingface.co/psmathur/orca_mini_13b) to learn thought process from teacher model, which is ChatGPT (gpt-3.5-turbo-0301 version).

Please see how the **System** prompt is added before each **instruction**.
task_categories:text-generation size_categories:10K<n<100K language:en license:cc-by-nc-sa-4.0 region:us
{"language": ["en"], "license": "cc-by-nc-sa-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"]}
TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-cc-by-nc-sa-4.0 #region-us 


Explain tuned Alpaca dataset ~52K 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-0301 version).

Please see how the System prompt is added before each instruction.
TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-cc-by-nc-sa-4.0 #region-us 

passage: TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-cc-by-nc-sa-4.0 #region-us 
