### Dataset creation method
This dataset was created using **Llama-2-70b-chat** version from **chat Petals** and Chatgpt
- First, we asked the Petals Llama-2 chat to create a random list of 30 common linux problems with step-by-step solutions.
- Second, we use chatgpt to create different versions of each text that forms the problems and solutions. This way we create different ways of asking and answering the same question.
- Finally, we unify all possible combinations for each problem id.
language:es license:other region:us
{"language": ["es"], "license": "other", "pretty_name": "s"}
TAGS
#language-Spanish #license-other #region-us 

### Dataset creation method
This dataset was created using Llama-2-70b-chat version from chat Petals and Chatgpt
- First, we asked the Petals Llama-2 chat to create a random list of 30 common linux problems with step-by-step solutions.
- Second, we use chatgpt to create different versions of each text that forms the problems and solutions. This way we create different ways of asking and answering the same question.
- Finally, we unify all possible combinations for each problem id.
### Dataset creation method
This dataset was created using Llama-2-70b-chat version from chat Petals and Chatgpt
- First, we asked the Petals Llama-2 chat to create a random list of 30 common linux problems with step-by-step solutions.
- Second, we use chatgpt to create different versions of each text that forms the problems and solutions. This way we create different ways of asking and answering the same question.
- Finally, we unify all possible combinations for each problem id.
TAGS
#language-Spanish #license-other #region-us 
 ### Dataset creation method
This dataset was created using Llama-2-70b-chat version from chat Petals and Chatgpt
- First, we asked the Petals Llama-2 chat to create a random list of 30 common linux problems with step-by-step solutions.
- Second, we use chatgpt to create different versions of each text that forms the problems and solutions. This way we create different ways of asking and answering the same question.
- Finally, we unify all possible combinations for each problem id.
passage: TAGS
#language-Spanish #license-other #region-us 
### Dataset creation method
This dataset was created using Llama-2-70b-chat version from chat Petals and Chatgpt
- First, we asked the Petals Llama-2 chat to create a random list of 30 common linux problems with step-by-step solutions.
- Second, we use chatgpt to create different versions of each text that forms the problems and solutions. This way we create different ways of asking and answering the same question.
- Finally, we unify all possible combinations for each problem id.