
# Dataset Card for MoralMachineHuman

## Dataset Summary

The dataset was created to provide our imitation to the real human responses of the original paper [Moral Machine](https://www.moralmachine.net/). We reformat the source data into text prompts and responses for other researchers to use.

## Languages

The dataset is in English (EN).

## Dataset Structure

### Data Instances

A data instance in this dataset represents a response made by real human through the Moral Machine data collection.

### Data Fields

The fields in the dataset include:
- `ResponseID`: Follows the same field in the file `SharedResponses.csv` provided by [Moral Machine](https://www.moralmachine.net/). As what its [README](https://osf.io/wt6mc?view_only=4bb49492edee4a8eb1758552a362a2cf) explains, it is "a unique, random set of characters that represents an identifier of the scenario". The difference is that in our dataset each row has a unique `ResponseID` and doesn't share with another row. 
- `UserID`: Follows the same field in the file `SharedResponses.csv` provided by [Moral Machine](https://www.moralmachine.net/). As what its [README](https://osf.io/wt6mc?view_only=4bb49492edee4a8eb1758552a362a2cf) explains, it is "a unique, random set of characters that represents an identifier of the user (respondent), captured using browser fingerprints".
- `Question`: represents the prompts that imitate the original paper [The Moral Machine experiment](https://doi.org/10.1038/s41586-018-0637-6).
- `HumanResponse`: represents the human responses that imitate the original paper [The Moral Machine experiment](https://doi.org/10.1038/s41586-018-0637-6).
- `Country`: Follows the field named `UserCountry3` in the file `SharedResponses.csv` provided by [Moral Machine](https://www.moralmachine.net/). As what its [README](https://osf.io/wt6mc?view_only=4bb49492edee4a8eb1758552a362a2cf) explains, it is "the alpha-3 ISO code of the country from which the user accessed the website".

### Data Splits

The dataset is unsplit.

## Dataset Creation

### Source Data

The source file `SharedResponses.csv` by [Moral Machine](https://www.moralmachine.net/) contains 70332356 rows. In our dataset, we follow the processing steps below:
1. Remove the rows that don't share the same ResponseID with any other rows
2. Pair each two rows with the same `ResponseID` and reformat into a single row
3. Run `generate.py` to remove rows that contains `nan` values in the entries we access, and generate new text columns named `Queston` and `HumanResponse`

We left with 33953466 rows after the processing steps.

## Dataset Use

### Use Cases

The dataset can be used for tasks related to llm moral analysis for a comparison with human moral judgments regarding their country location.

## Citation

```

```

license:apache-2.0 region:us
{"license": "apache-2.0"}
TAGS
#license-apache-2.0 #region-us 


# Dataset Card for MoralMachineHuman

## Dataset Summary

The dataset was created to provide our imitation to the real human responses of the original paper Moral Machine. We reformat the source data into text prompts and responses for other researchers to use.

## Languages

The dataset is in English (EN).

## Dataset Structure

### Data Instances

A data instance in this dataset represents a response made by real human through the Moral Machine data collection.

### Data Fields

The fields in the dataset include:
- 'ResponseID': Follows the same field in the file 'URL' provided by Moral Machine. As what its README explains, it is "a unique, random set of characters that represents an identifier of the scenario". The difference is that in our dataset each row has a unique 'ResponseID' and doesn't share with another row. 
- 'UserID': Follows the same field in the file 'URL' provided by Moral Machine. As what its README explains, it is "a unique, random set of characters that represents an identifier of the user (respondent), captured using browser fingerprints".
- 'Question': represents the prompts that imitate the original paper The Moral Machine experiment.
- 'HumanResponse': represents the human responses that imitate the original paper The Moral Machine experiment.
- 'Country': Follows the field named 'UserCountry3' in the file 'URL' provided by Moral Machine. As what its README explains, it is "the alpha-3 ISO code of the country from which the user accessed the website".

### Data Splits

The dataset is unsplit.

## Dataset Creation

### Source Data

The source file 'URL' by Moral Machine contains 70332356 rows. In our dataset, we follow the processing steps below:
1. Remove the rows that don't share the same ResponseID with any other rows
2. Pair each two rows with the same 'ResponseID' and reformat into a single row
3. Run 'URL' to remove rows that contains 'nan' values in the entries we access, and generate new text columns named 'Queston' and 'HumanResponse'

We left with 33953466 rows after the processing steps.

## Dataset Use

### Use Cases

The dataset can be used for tasks related to llm moral analysis for a comparison with human moral judgments regarding their country location.


# Dataset Card for MoralMachineHuman ## Dataset Summary

The dataset was created to provide our imitation to the real human responses of the original paper Moral Machine. We reformat the source data into text prompts and responses for other researchers to use. ## Languages

The dataset is in English (EN). ## Dataset Structure ### Data Instances

A data instance in this dataset represents a response made by real human through the Moral Machine data collection. ### Data Fields

The fields in the dataset include:
- 'ResponseID': Follows the same field in the file 'URL' provided by Moral Machine. As what its README explains, it is "a unique, random set of characters that represents an identifier of the scenario". The difference is that in our dataset each row has a unique 'ResponseID' and doesn't share with another row. 
- 'UserID': Follows the same field in the file 'URL' provided by Moral Machine. As what its README explains, it is "a unique, random set of characters that represents an identifier of the user (respondent), captured using browser fingerprints".
- 'Question': represents the prompts that imitate the original paper The Moral Machine experiment.
- 'HumanResponse': represents the human responses that imitate the original paper The Moral Machine experiment.
- 'Country': Follows the field named 'UserCountry3' in the file 'URL' provided by Moral Machine. As what its README explains, it is "the alpha-3 ISO code of the country from which the user accessed the website". ### Data Splits

The dataset is unsplit. ## Dataset Creation ### Source Data

The source file 'URL' by Moral Machine contains 70332356 rows. In our dataset, we follow the processing steps below:
1. Remove the rows that don't share the same ResponseID with any other rows
2. Pair each two rows with the same 'ResponseID' and reformat into a single row
3. Run 'URL' to remove rows that contains 'nan' values in the entries we access, and generate new text columns named 'Queston' and 'HumanResponse'

We left with 33953466 rows after the processing steps. ## Dataset Use ### Use Cases

The dataset can be used for tasks related to llm moral analysis for a comparison with human moral judgments regarding their country location.
TAGS
#license-apache-2.0 #region-us 
 # Dataset Card for MoralMachineHuman ## Dataset Summary

The dataset was created to provide our imitation to the real human responses of the original paper Moral Machine. We reformat the source data into text prompts and responses for other researchers to use. ## Languages

The dataset is in English (EN). ## Dataset Structure ### Data Instances

A data instance in this dataset represents a response made by real human through the Moral Machine data collection. ### Data Fields

The fields in the dataset include:
- 'ResponseID': Follows the same field in the file 'URL' provided by Moral Machine. As what its README explains, it is "a unique, random set of characters that represents an identifier of the scenario". The difference is that in our dataset each row has a unique 'ResponseID' and doesn't share with another row. 
- 'UserID': Follows the same field in the file 'URL' provided by Moral Machine. As what its README explains, it is "a unique, random set of characters that represents an identifier of the user (respondent), captured using browser fingerprints".
- 'Question': represents the prompts that imitate the original paper The Moral Machine experiment.
- 'HumanResponse': represents the human responses that imitate the original paper The Moral Machine experiment.
- 'Country': Follows the field named 'UserCountry3' in the file 'URL' provided by Moral Machine. As what its README explains, it is "the alpha-3 ISO code of the country from which the user accessed the website". ### Data Splits

The dataset is unsplit. ## Dataset Creation ### Source Data

The source file 'URL' by Moral Machine contains 70332356 rows. In our dataset, we follow the processing steps below:
1. Remove the rows that don't share the same ResponseID with any other rows
2. Pair each two rows with the same 'ResponseID' and reformat into a single row
3. Run 'URL' to remove rows that contains 'nan' values in the entries we access, and generate new text columns named 'Queston' and 'HumanResponse'

We left with 33953466 rows after the processing steps. ## Dataset Use ### Use Cases

The dataset can be used for tasks related to llm moral analysis for a comparison with human moral judgments regarding their country location.