[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'entertaining', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '花蝴蝶', 'source_domain': '发福蝶', 'target_modality': 'image', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'moderately', 'intention_detection': 'entertaining', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'hate', 'sentiment_degree': 'slightly', 'intention_detection': 'offensive', 'offensiveness_detection': 'slightly', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '垃圾', 'source_domain': '辣鸡', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'surprise', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'anger', 'sentiment_degree': 'slightly', 'intention_detection': 'offensive', 'offensiveness_detection': 'moderately', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '傻屌', 'source_domain': '沙雕', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'anger', 'sentiment_degree': 'slightly', 'intention_detection': 'offensive', 'offensiveness_detection': 'moderately', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'very', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '精神支柱', 'source_domain': '女生', 'target_modality': 'text', 'source_modality': 'image'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'entertaining', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'slightly', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'anger', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '富婆', 'source_domain': '棒棒糖', 'target_modality': 'text', 'source_modality': 'image'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'anger', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'fear', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '呀', 'source_domain': '鸭', 'target_modality': 'text', 'source_modality': 'complementary'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'very', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '女孩子；想哭', 'source_domain': '铝孩纸；香菇', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'hate', 'sentiment_degree': 'moderately', 'intention_detection': 'offensive', 'offensiveness_detection': 'slightly', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'moderately', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '冲呀', 'source_domain': '冲鸭', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'anger', 'sentiment_degree': 'very', 'intention_detection': 'offensive', 'offensiveness_detection': 'very', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '妈逼', 'source_domain': '麻痹', 'target_modality': 'text', 'source_modality': 'complementary'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'surprise', 'sentiment_degree': 'slightly', 'intention_detection': 'entertaining', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'image dominant', 'target_domain': '铲子', 'source_domain': '猫', 'target_modality': 'image', 'source_modality': 'image'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'interactive', 'offensiveness_detection': 'slightly', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '嘤', 'source_domain': '樱', 'target_modality': 'text', 'source_modality': 'complementary'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '嫉妒', 'source_domain': '吃醋', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'moderately', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '厉害', 'source_domain': '2×3 2×3 2×3', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'moderately', 'intention_detection': 'interactive', 'offensiveness_detection': 'slightly', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '牛逼', 'source_domain': '牛啤', 'target_modality': 'text', 'source_modality': 'image'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'moderately', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'very', 'intention_detection': 'offensive', 'offensiveness_detection': 'moderately', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '傻屌', 'source_domain': '沙雕', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '快乐', 'source_domain': '饮料', 'target_modality': 'text', 'source_modality': 'image'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'fear', 'sentiment_degree': 'moderately', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '不要', 'source_domain': '亚麻跌', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'very', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'entertaining', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'hate', 'sentiment_degree': 'slightly', 'intention_detection': 'interactive', 'offensiveness_detection': 'slightly', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '滚', 'source_domain': '爪巴', 'target_modality': 'text', 'source_modality': 'image'}