[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': 'moderately', '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': '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': 'anger', 'sentiment_degree': 'very', 'intention_detection': 'offensive', 'offensiveness_detection': 'very', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '你妈', 'source_domain': '尼玛', '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': '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': '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': 'anger', 'sentiment_degree': 'slightly', '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': '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': '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': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'offensive', 'offensiveness_detection': 'moderately', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '婊子', 'source_domain': '碧池', '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': 'slightly', 'intention_detection': 'offensive', 'offensiveness_detection': 'moderately', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '狗', 'source_domain': '男人', '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': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '做危险的事', 'source_domain': '玩火', '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': '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': 'complementary', 'target_domain': '出轨', 'source_domain': '绿帽子', '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': 'anger', 'sentiment_degree': 'very', 'intention_detection': 'offensive', 'offensiveness_detection': 'slightly', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '我', 'source_domain': '劳资', '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': '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': 'very', 'intention_detection': 'offensive', 'offensiveness_detection': 'very', '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': 'anger', 'sentiment_degree': 'moderately', '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': 'hate', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '我', 'source_domain': '劳资', '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': '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': 'happiness', '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': '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': 'surprise', 'sentiment_degree': 'slightly', 'intention_detection': 'entertaining', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '木鸡', 'source_domain': '母鸡', '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': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '知道', 'source_domain': '鸡倒', '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': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', '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': 'happiness', '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': 'love', 'sentiment_degree': 'very', 'intention_detection': 'offensive', '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': 'hate', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '坏水', 'source_domain': '体液', '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': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', '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': 'fear', 'sentiment_degree': 'slightly', 'intention_detection': 'entertaining', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '知识;力量', 'source_domain': '书本;知识', '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': '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': 'surprise', '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': 'hate', 'sentiment_degree': 'slightly', 'intention_detection': 'offensive', 'offensiveness_detection': 'moderately', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '下贱', 'source_domain': '下键', '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': 'fear', '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': 'very', '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': 'sorrow', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '累', 'source_domain': 'lay', 'target_modality': 'complementary', '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': 'surprise', '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': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}