# Dataset Card for "codex_math_qa_alpaca_style"

This dataset consists of code responses generated by `codex-davinci-002` for solving math word problems from [math_qa](https://huggingface.co/datasets/math_qa). This dataset is equivalent to [theblackcat102/codex-math-qa](https://huggingface.co/datasets/theblackcat102/codex-math-qa), but has been slightly modified to fit the Alpaca format.

Numbers:
- **Prompts**: 28050
- **Tokens**: 6626950 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": 23778428.0, "num_examples": 28050}], "download_size": 8824844, "dataset_size": 23778428.0}}
TAGS
#region-us 

# Dataset Card for "codex_math_qa_alpaca_style"

This dataset consists of code responses generated by 'codex-davinci-002' for solving math word problems from math_qa. This dataset is equivalent to theblackcat102/codex-math-qa, but has been slightly modified to fit the Alpaca format.

Numbers:
- Prompts: 28050
- Tokens: 6626950 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
# Dataset Card for "codex_math_qa_alpaca_style"

This dataset consists of code responses generated by 'codex-davinci-002' for solving math word problems from math_qa. This dataset is equivalent to theblackcat102/codex-math-qa, but has been slightly modified to fit the Alpaca format.

Numbers:
- Prompts: 28050
- Tokens: 6626950 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
TAGS
#region-us 
 # Dataset Card for "codex_math_qa_alpaca_style"

This dataset consists of code responses generated by 'codex-davinci-002' for solving math word problems from math_qa. This dataset is equivalent to theblackcat102/codex-math-qa, but has been slightly modified to fit the Alpaca format.

Numbers:
- Prompts: 28050
- Tokens: 6626950 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)