# Dataset Card for "FLAN_CoT_alpaca_style"

We provide a dataset representing the 9 chain-of-thought (reasoning) fine-tuning tasks from [FLAN](https://arxiv.org/pdf/2210.11416.pdf). Minor formatting has been applied:
- We apply an Alpaca-style format (i.e. instruction/input/output fields)
- If the question is multiple-choice, the options are provided in the input field
- The phrase "Explain your reasoning step-by-step before providing the correct answer." is added to the end of the instruction field.



Numbers:

Prompts: 74771

Tokens: 9016176 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
arxiv:2210.11416 region:us
{"dataset_info": {"features": [{"name": "output", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37140971, "num_examples": 74771}], "download_size": 14062550, "dataset_size": 37140971}}
TAGS
#arxiv-2210.11416 #region-us 

# Dataset Card for "FLAN_CoT_alpaca_style"

We provide a dataset representing the 9 chain-of-thought (reasoning) fine-tuning tasks from FLAN. Minor formatting has been applied:
- We apply an Alpaca-style format (i.e. instruction/input/output fields)
- If the question is multiple-choice, the options are provided in the input field
- The phrase "Explain your reasoning step-by-step before providing the correct answer." is added to the end of the instruction field.



Numbers:

Prompts: 74771

Tokens: 9016176 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
# Dataset Card for "FLAN_CoT_alpaca_style"

We provide a dataset representing the 9 chain-of-thought (reasoning) fine-tuning tasks from FLAN. Minor formatting has been applied:
- We apply an Alpaca-style format (i.e. instruction/input/output fields)
- If the question is multiple-choice, the options are provided in the input field
- The phrase "Explain your reasoning step-by-step before providing the correct answer." is added to the end of the instruction field.



Numbers:

Prompts: 74771

Tokens: 9016176 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
TAGS
#arxiv-2210.11416 #region-us 
 # Dataset Card for "FLAN_CoT_alpaca_style"

We provide a dataset representing the 9 chain-of-thought (reasoning) fine-tuning tasks from FLAN. Minor formatting has been applied:
- We apply an Alpaca-style format (i.e. instruction/input/output fields)
- If the question is multiple-choice, the options are provided in the input field
- The phrase "Explain your reasoning step-by-step before providing the correct answer." is added to the end of the instruction field.



Numbers:

Prompts: 74771

Tokens: 9016176 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
passage: TAGS
#arxiv-2210.11416 #region-us 
# Dataset Card for "FLAN_CoT_alpaca_style"

We provide a dataset representing the 9 chain-of-thought (reasoning) fine-tuning tasks from FLAN. Minor formatting has been applied:
- We apply an Alpaca-style format (i.e. instruction/input/output fields)
- If the question is multiple-choice, the options are provided in the input field
- The phrase "Explain your reasoning step-by-step before providing the correct answer." is added to the end of the instruction field.



Numbers:

Prompts: 74771

Tokens: 9016176 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)