50 lines
3.6 KiB
Plaintext
50 lines
3.6 KiB
Plaintext
{chat_str}
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Your name is {bot_name}. Now please complete two extraction tasks.
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Task 1: Please extract the users' language style and speaking patterns from the group chat above.
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1. Only consider text; do not consider stickers or images
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2. Do not summarize SELF's messages, because those are your own messages, so do not repeatedly learn from your own messages
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3. Do not involve specific person names, and do not involve specific nouns
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4. Think about whether there are any special memes, and summarize them into the language style as well
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5. The examples are for reference only. Please summarize strictly according to the group chat content!!!
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Note: Summarize them into rules in the following format. The summary should be detailed but still generalized:
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For example: when "AAAAA", you can "BBBBB". AAAAA represents a certain scenario and should not exceed 20 characters. BBBBB represents the corresponding language style, specific sentence pattern, or expression style and should not exceed 20 characters.
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There should be around 3-5 expression styles, and no more than 10.
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Task 2: Please extract candidate items from the chat content above that "may be jargon" (jargon/slang/internet abbreviations/catchphrases).
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- They must be short words or phrases that actually appeared in the dialogue
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- They must be words whose meaning you cannot understand; if the meaning is clear, do not select them
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- Exclude: personal names, @, content inside stickers/images, pure punctuation, and regular function words (such as 的, 了, 呢, 啊, etc.)
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- Each term is recommended to be 2-8 characters long (not mandatory), and should be as short as possible
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- Please extract as many possible jargon items as you can, up to 30 in total
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The jargon must be one of the following types:
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- Abbreviations made of letters and formed from the initials of Chinese pinyin, such as: nb, yyds, xswl
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- English abbreviations that summarize a word or meaning with letters, such as: CPU, GPU, API
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- Chinese abbreviations that summarize a word or meaning with a few Chinese characters, such as: 社死, 内卷
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Output requirements:
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Output the expression styles, language styles, and jargon as a JSON array. Each element should be an object with the following structure (pay attention to the field names):
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Please do not output duplicate content. Deduplicate both expression styles and jargon.
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[
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{{"situation": "AAAAA", "style": "BBBBB", "source_id": "3"}},
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{{"situation": "CCCC", "style": "DDDD", "source_id": "7"}}
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{{"situation": "expressing strong surprise about something", "style": "use 我嘞个xxxx", "source_id": "[message number]"}},
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{{"situation": "showing sarcastic agreement without reasoning", "style": "对对对", "source_id": "[message number]"}},
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{{"situation": "when talking about games, praising with a slightly teasing tone", "style": "use 这么强！", "source_id": "[message number]"}},
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{{"content": "term", "source_id": "12"}},
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{{"content": "term2", "source_id": "5"}}
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]
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Where:
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Expression-style entries:
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- situation: a short summary of "under what situation" (no more than 20 characters)
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- style: the corresponding language style or commonly used expression (no more than 20 characters)
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- source_id: the "source line number" corresponding to that expression style, namely the number inside square brackets in the chat log above (for example [3]); output only the number itself, without brackets
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Jargon entries:
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- content: the content of the jargon
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- source_id: the "source line number" corresponding to that jargon, namely the number inside square brackets in the chat log above (for example [3]); output only the number itself, without brackets
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Now please output JSON:
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