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Alpaca Farm SFT Dataset Preprocessing
This dataset is preprocessed from tatsu-lab/alpaca_farm (alpaca_instructions subset)
for use in RLHF pipelines.
Original Dataset Columns
- instruction: The task instruction
- input: Optional additional input/context
- output: The reference response
Added Preprocessing Columns
- query: Formatted prompt using Alpaca format (handles empty input)
- query_token: Tokenized query with padding (length=512)
- reference_response: Reference response with EOS token
- reference_response_token: Tokenized response (max_length=128)
- reference_response_token_len: Original length of tokenized response
- query_reference_response: Concatenation of query.strip() and reference_response
- query_reference_response_token: Tokenized concatenation (max_length=640)
- query_reference_response_token_response_label: Same as above but with query tokens masked for loss
- query_reference_response_token_len: Original length of concatenation
Prompt Format
### Instruction:
{instruction}
### Input:
{input}
### Response:
For examples with empty input:
### Instruction:
{instruction}
### Response:
Splits
- train: Training data
- validation: Validation data (10% of original)
- test: Test data (10% of original)
Args
{'alpaca_params': TaskQueryHParams(length=512,
format_str='### Instruction:\n'
'{instruction}\n'
'\n'
'### Input:\n'
'{input}\n'
'\n'
'### Response:',
truncate_field='input',
truncate_text='\n',
padding='pad_token',
pad_token=[50277],
pad_side='left',
max_sft_response_length=128,
max_sft_query_response_length=640),
'base_model': 'EleutherAI/pythia-1b-deduped',
'check_length_correctness': False,
'debug': False,
'hf_entity': 'shinnosukeono',
'local_path': '/work/gj25/k36132/datasets/alpaca_preprocessed_pythia',
'push_to_hub': True,
'query_length': None,
'response_length': None,
'save_local': True}
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