
# Dataset Card for Relation Counterfact

## Dataset Description

- **Repository:** https://github.com/bilal-chughtai/attention-head-superposition
- **Paper:** TBC
- **Point of Contact:** Alan Cooney

### Dataset Summary

This dataset is based on the [Rome Counterfact dataset](https://rome.baulab.info/). 

It is adjusted so that all re-written prompts are in the same order and form of 
[Subject] [Relationship] -> [Attribute] (e.g. Beats Music is owned by -> Apple).
The dataset also uses additional validation rules to remove examples where the 
correct attribute is ambiguous, as well as other unsuitable dataset examples 
(e.g. where the attribute is included in the subject such as "Porsche 911 is 
created by -> Porsche"). Finally a list of `subject_relevant_words` is included 
to help study the residual stream at different points.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

English

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

[More Information Needed]
license:mit region:us
{"license": "mit"}
TAGS
#license-mit #region-us 


# Dataset Card for Relation Counterfact

## Dataset Description

- Repository: URL
- Paper: TBC
- Point of Contact: Alan Cooney

### Dataset Summary

This dataset is based on the Rome Counterfact dataset. 

It is adjusted so that all re-written prompts are in the same order and form of 
[Subject] [Relationship] -> [Attribute] (e.g. Beats Music is owned by -> Apple).
The dataset also uses additional validation rules to remove examples where the 
correct attribute is ambiguous, as well as other unsuitable dataset examples 
(e.g. where the attribute is included in the subject such as "Porsche 911 is 
created by -> Porsche"). Finally a list of 'subject_relevant_words' is included 
to help study the residual stream at different points.

### Supported Tasks and Leaderboards



### Languages

English

## Dataset Structure

### Data Instances



### Data Fields



### Data Splits



## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information







### Contributions


# Dataset Card for Relation Counterfact ## Dataset Description

- Repository: URL
- Paper: TBC
- Point of Contact: Alan Cooney ### Dataset Summary

This dataset is based on the Rome Counterfact dataset. 

It is adjusted so that all re-written prompts are in the same order and form of 
[Subject] [Relationship] -> [Attribute] (e.g. Beats Music is owned by -> Apple).
The dataset also uses additional validation rules to remove examples where the 
correct attribute is ambiguous, as well as other unsuitable dataset examples 
(e.g. where the attribute is included in the subject such as "Porsche 911 is 
created by -> Porsche"). Finally a list of 'subject_relevant_words' is included 
to help study the residual stream at different points. ### Supported Tasks and Leaderboards ### Languages

English ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
TAGS
#license-mit #region-us 
 # Dataset Card for Relation Counterfact ## Dataset Description

- Repository: URL
- Paper: TBC
- Point of Contact: Alan Cooney ### Dataset Summary

This dataset is based on the Rome Counterfact dataset. 

It is adjusted so that all re-written prompts are in the same order and form of 
[Subject] [Relationship] -> [Attribute] (e.g. Beats Music is owned by -> Apple).
The dataset also uses additional validation rules to remove examples where the 
correct attribute is ambiguous, as well as other unsuitable dataset examples 
(e.g. where the attribute is included in the subject such as "Porsche 911 is 
created by -> Porsche"). Finally a list of 'subject_relevant_words' is included 
to help study the residual stream at different points. ### Supported Tasks and Leaderboards ### Languages

English ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
passage: TAGS
#license-mit #region-us 
# Dataset Card for Relation Counterfact## Dataset Description

- Repository: URL
- Paper: TBC
- Point of Contact: Alan Cooney### Dataset Summary

This dataset is based on the Rome Counterfact dataset. 

It is adjusted so that all re-written prompts are in the same order and form of 
[Subject] [Relationship] -> [Attribute] (e.g. Beats Music is owned by -> Apple).
The dataset also uses additional validation rules to remove examples where the 
correct attribute is ambiguous, as well as other unsuitable dataset examples 
(e.g. where the attribute is included in the subject such as "Porsche 911 is 
created by -> Porsche"). Finally a list of 'subject_relevant_words' is included 
to help study the residual stream at different points.### Supported Tasks and Leaderboards### Languages

English## Dataset Structure### Data Instances### Data Fields### Data Splits## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators### Licensing Information### Contributions