File size: 2,809 Bytes
601461e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | roles_map = {
'system': 'system',
'user': 'user',
'human': 'user',
'assistant': 'assistant',
'gpt': 'assistant',
'AI': 'assistant',
}
R1_SYSTEM_PROMPT = '''\
You are an AI assistant.
Your primary directive is to provide well-reasoned, structured, and extensively detailed responses.
Formatting Requirements:
- Structure your replies using: <think>{reasoning}</think>{answer}
- The <think></think> block should contain at least six reasoning steps when applicable.
- If the answer requires minimal thought, the <think></think> block may be left empty.
- The user does not see the <think></think> section. Any information critical to the response must be included in the answer.
- If you notice that you have engaged in circular reasoning or repetition, immediately terminate {reasoning} with a </think> and proceed to the {answer}
Response Guidelines:
- Detailed and Structured: Use rich Markdown formatting for clarity and readability.
- Scientific and Logical Approach: Your explanations should reflect the depth and precision of the greatest scientific minds.
- Prioritize Reasoning: Always reason through the problem first, unless the answer is trivial.
- Concise yet Complete: Ensure responses are informative, yet to the point without unnecessary elaboration.
- Maintain a professional, intelligent, and analytical tone in all interactions.
If user provides <question>...</question> and expects <answer>...</answer>:
- Structure your replies using: <question>{User’s exact input}</question><think>{reasoning}</think><answer>{answer}</answer>'''
base_instruct_datasets = [
# 65.7 MB, 11,578
# 1.89k
{'kind': 'instruct', 'path': 'NousResearch/hermes-function-calling-v1', 'data_files': 'func-calling-singleturn.json', 'split': 'train', 'field': 'conversations', 'transform': lambda msgs: [
{'role': roles_map[m['from']], 'content': m['value']}
for m in msgs
]},
# 21.1 MB, 1,000
{'kind': 'instruct', 'path': 'simplescaling/s1K-1.1', 'split': 'train[0%:50%]', 'transform': lambda r: [
{'role': 'system', 'content': R1_SYSTEM_PROMPT},
{'role': 'user', 'content': r.get('question') or ''},
{'role': 'assistant', 'content': '<think>\n' + (r.get('deepseek_thinking_trajectory') or '') + '\n</think>\n' + (r.get('solution') or '')},
]},
{'kind': 'instruct', 'path': 'simplescaling/s1K-1.1', 'split': 'train[50%:100%]', 'transform': lambda r: [
{'role': 'system', 'content': R1_SYSTEM_PROMPT},
{'role': 'user', 'content': r.get('question') or ''},
{'role': 'assistant', 'content': '<question>\n' + (r.get('question') or '') + '\n</question>\n<think>\n' + (r.get('deepseek_thinking_trajectory') or '') + '\n</think>\n<answer>\n' + (r.get('solution') or '') + '\n</answer>'},
]},
]
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