In-Development dataset to fix some core knowledge/ability tasks in language models.

Data is like the alpaca format (Instruction-Input-Response), and formated as a json file.  
The json file holds a single array of dictionaries. Each dictionary has 3 keys, "Instruction","Input","Response".  
Data is generated using convetional code, and pulls from subsets of pile_v1 for when raw text data is needed.  
Questions aim to be un-ambiguous and mostly aimed at foundational knowledge. (rather that long instruction chains or trivia)

Project could be dropped at any point.

---
license: cc-by-nc-4.0
---

region:us
{}
TAGS
#region-us 

In-Development dataset to fix some core knowledge/ability tasks in language models.

Data is like the alpaca format (Instruction-Input-Response), and formated as a json file.  
The json file holds a single array of dictionaries. Each dictionary has 3 keys, "Instruction","Input","Response".  
Data is generated using convetional code, and pulls from subsets of pile_v1 for when raw text data is needed.  
Questions aim to be un-ambiguous and mostly aimed at foundational knowledge. (rather that long instruction chains or trivia)

Project could be dropped at any point.

---
license: cc-by-nc-4.0
---

TAGS
#region-us 

passage: TAGS
#region-us 
