# Dataset Card for "gpt4all_code_small"

We provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents 1) those records whose prompts were sourced from pacovaldez/stackoverflow-questions, 2) who explicitly mention one of Python, Java, C++, SQL, Kotlin, PHP, Swift, MATLAB, Typescript, Scala, HTML, CSS, Rust, or Perl, and 3) who include a code block in the response body.

Output records are responses from OpenAI’s GPT3.5-Turbo. Prompt/response pairs have been reformatted to fit the Alpaca format.

Numbers:

Prompts: 36856

Tokens: 38643696 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
region:us
{"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "input", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 130633918.0, "num_examples": 36856}], "download_size": 62911071, "dataset_size": 130633918.0}}
TAGS
#region-us 

# Dataset Card for "gpt4all_code_small"

We provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents 1) those records whose prompts were sourced from pacovaldez/stackoverflow-questions, 2) who explicitly mention one of Python, Java, C++, SQL, Kotlin, PHP, Swift, MATLAB, Typescript, Scala, HTML, CSS, Rust, or Perl, and 3) who include a code block in the response body.

Output records are responses from OpenAI’s GPT3.5-Turbo. Prompt/response pairs have been reformatted to fit the Alpaca format.

Numbers:

Prompts: 36856

Tokens: 38643696 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
# Dataset Card for "gpt4all_code_small"

We provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents 1) those records whose prompts were sourced from pacovaldez/stackoverflow-questions, 2) who explicitly mention one of Python, Java, C++, SQL, Kotlin, PHP, Swift, MATLAB, Typescript, Scala, HTML, CSS, Rust, or Perl, and 3) who include a code block in the response body.

Output records are responses from OpenAI’s GPT3.5-Turbo. Prompt/response pairs have been reformatted to fit the Alpaca format.

Numbers:

Prompts: 36856

Tokens: 38643696 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
TAGS
#region-us 
 # Dataset Card for "gpt4all_code_small"

We provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents 1) those records whose prompts were sourced from pacovaldez/stackoverflow-questions, 2) who explicitly mention one of Python, Java, C++, SQL, Kotlin, PHP, Swift, MATLAB, Typescript, Scala, HTML, CSS, Rust, or Perl, and 3) who include a code block in the response body.

Output records are responses from OpenAI’s GPT3.5-Turbo. Prompt/response pairs have been reformatted to fit the Alpaca format.

Numbers:

Prompts: 36856

Tokens: 38643696 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
passage: TAGS
#region-us 
# Dataset Card for "gpt4all_code_small"

We provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents 1) those records whose prompts were sourced from pacovaldez/stackoverflow-questions, 2) who explicitly mention one of Python, Java, C++, SQL, Kotlin, PHP, Swift, MATLAB, Typescript, Scala, HTML, CSS, Rust, or Perl, and 3) who include a code block in the response body.

Output records are responses from OpenAI’s GPT3.5-Turbo. Prompt/response pairs have been reformatted to fit the Alpaca format.

Numbers:

Prompts: 36856

Tokens: 38643696 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)