# Dataset Card for "gpt4all_code"

We provide a code-related subset of the original [nomic-ai/gpt4all-j-prompt-generations](https://huggingface.co/datasets/nomic-ai/gpt4all-j-prompt-generations#dataset-card-for-gpt4all-j-prompt-generations) (v1.2-jazzy revision) dataset, which represents those records whose prompts were sourced from [pacovaldez/stackoverflow-questions](https://huggingface.co/datasets/pacovaldez/stackoverflow-questions) and who explicitly mention one of Python, Java, C++, SQL, Kotlin, PHP, Swift, MATLAB, Typescript, Scala, HTML, CSS, Rust, or Perl. Output records are responses from OpenAI’s GPT3.5-Turbo. Prompt/response pairs have been reformatted to fit the Alpaca format.

Numbers:
- **Prompts**: 93257
- **Tokens**: 87686551 using the [EleutherAI/gpt-neox-20b](https://huggingface.co/EleutherAI/gpt-neox-20b) tokenizer (counting instruction+input+output)
region:us
{"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 294812377.0, "num_examples": 93257}], "download_size": 143503343, "dataset_size": 294812377.0}}
TAGS
#region-us 

# Dataset Card for "gpt4all_code"

We provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents those records whose prompts were sourced from pacovaldez/stackoverflow-questions and who explicitly mention one of Python, Java, C++, SQL, Kotlin, PHP, Swift, MATLAB, Typescript, Scala, HTML, CSS, Rust, or Perl. Output records are responses from OpenAI’s GPT3.5-Turbo. Prompt/response pairs have been reformatted to fit the Alpaca format.

Numbers:
- Prompts: 93257
- Tokens: 87686551 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
# Dataset Card for "gpt4all_code"

We provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents those records whose prompts were sourced from pacovaldez/stackoverflow-questions and who explicitly mention one of Python, Java, C++, SQL, Kotlin, PHP, Swift, MATLAB, Typescript, Scala, HTML, CSS, Rust, or Perl. Output records are responses from OpenAI’s GPT3.5-Turbo. Prompt/response pairs have been reformatted to fit the Alpaca format.

Numbers:
- Prompts: 93257
- Tokens: 87686551 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
TAGS
#region-us 
 # Dataset Card for "gpt4all_code"

We provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents those records whose prompts were sourced from pacovaldez/stackoverflow-questions and who explicitly mention one of Python, Java, C++, SQL, Kotlin, PHP, Swift, MATLAB, Typescript, Scala, HTML, CSS, Rust, or Perl. Output records are responses from OpenAI’s GPT3.5-Turbo. Prompt/response pairs have been reformatted to fit the Alpaca format.

Numbers:
- Prompts: 93257
- Tokens: 87686551 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
passage: TAGS
#region-us 
# Dataset Card for "gpt4all_code"

We provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents those records whose prompts were sourced from pacovaldez/stackoverflow-questions and who explicitly mention one of Python, Java, C++, SQL, Kotlin, PHP, Swift, MATLAB, Typescript, Scala, HTML, CSS, Rust, or Perl. Output records are responses from OpenAI’s GPT3.5-Turbo. Prompt/response pairs have been reformatted to fit the Alpaca format.

Numbers:
- Prompts: 93257
- Tokens: 87686551 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)