
# Dataset Card for Dataset Name

## Dataset Description

- **Homepage: https://cobra.xuhuiz.com/** 
- **Paper: https://arxiv.org/abs/2306.01985** 

### Dataset Summary
This dataset contains COBRACOPURS and COBRACORPUS-counterfactual in this [paper](https://arxiv.org/abs/2306.01985)

### Data Splits
* `advContexts_explanations.csv` is `COBRACorpus-CF`
* `toxigen_explanations.csv` is the full `COBRACorpus`
* `toxigen_explanations_train.csv` is the training split of `COBRACorpus`
* `toxigen_explanations_val.csv` is the validation split of `COBRACorpus`

### Data Entries

For `COBRACorpus`, the relevant entries in the `csv` files are

*`situationalContext (string)`, `speakerIdentity (string)`, `listenerIdentity (string)`, `statement (string)`, 
`intent (string)`, `targetGroup (string)`, `relevantPowerDynamics (string)`, `implication (string)`, 
`targetGroupEmotionalReaction (string)`, `targetGroupCognitiveReaction (string)`, `offensiveness (string)`*

Please refer to the [paper](https://arxiv.org/abs/2306.01985) for the specific explanations of these entries.

The *`examples`* entry is the few-shot prompt that we used to generate explanations.

All other entries are from the [Toxicgen](https://arxiv.org/abs/2203.09509) dataset, which is not directly relevant to this 
work but we leave them there as the metadata in case it's useful for the future works.

### Citation Information

If you find this dataset useful, please cite:
```
@inproceedings{zhou2023cobra,
  title = {COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements},
  author = {Zhou, Xuhui and Zhu, Hao and Yerukola, Akhila and Davidson, Thomas and D. Hwang, Jena and Swayamdipta, Swabha and Sap, Maarten},
  year = {2023},
  booktitle = {Findings of ACL}
}
```
task_categories:text-generation task_categories:text-classification size_categories:10K<n<100K language:en license:openrail arxiv:2306.01985 arxiv:2203.09509 region:us
{"language": ["en"], "license": "openrail", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation", "text-classification"], "pretty_name": "COBRA\ud83d\udc0d"}
TAGS
#task_categories-text-generation #task_categories-text-classification #size_categories-10K<n<100K #language-English #license-openrail #arxiv-2306.01985 #arxiv-2203.09509 #region-us 


# Dataset Card for Dataset Name

## Dataset Description

- Homepage: URL 
- Paper: URL 

### Dataset Summary
This dataset contains COBRACOPURS and COBRACORPUS-counterfactual in this paper

### Data Splits
* 'advContexts_explanations.csv' is 'COBRACorpus-CF'
* 'toxigen_explanations.csv' is the full 'COBRACorpus'
* 'toxigen_explanations_train.csv' is the training split of 'COBRACorpus'
* 'toxigen_explanations_val.csv' is the validation split of 'COBRACorpus'

### Data Entries

For 'COBRACorpus', the relevant entries in the 'csv' files are

*'situationalContext (string)', 'speakerIdentity (string)', 'listenerIdentity (string)', 'statement (string)', 
'intent (string)', 'targetGroup (string)', 'relevantPowerDynamics (string)', 'implication (string)', 
'targetGroupEmotionalReaction (string)', 'targetGroupCognitiveReaction (string)', 'offensiveness (string)'*

Please refer to the paper for the specific explanations of these entries.

The *'examples'* entry is the few-shot prompt that we used to generate explanations.

All other entries are from the Toxicgen dataset, which is not directly relevant to this 
work but we leave them there as the metadata in case it's useful for the future works.



If you find this dataset useful, please cite:

# Dataset Card for Dataset Name ## Dataset Description

- Homepage: URL 
- Paper: URL ### Dataset Summary
This dataset contains COBRACOPURS and COBRACORPUS-counterfactual in this paper ### Data Splits
* 'advContexts_explanations.csv' is 'COBRACorpus-CF'
* 'toxigen_explanations.csv' is the full 'COBRACorpus'
* 'toxigen_explanations_train.csv' is the training split of 'COBRACorpus'
* 'toxigen_explanations_val.csv' is the validation split of 'COBRACorpus' ### Data Entries

For 'COBRACorpus', the relevant entries in the 'csv' files are

*'situationalContext (string)', 'speakerIdentity (string)', 'listenerIdentity (string)', 'statement (string)', 
'intent (string)', 'targetGroup (string)', 'relevantPowerDynamics (string)', 'implication (string)', 
'targetGroupEmotionalReaction (string)', 'targetGroupCognitiveReaction (string)', 'offensiveness (string)'*

Please refer to the paper for the specific explanations of these entries.

The *'examples'* entry is the few-shot prompt that we used to generate explanations.

All other entries are from the Toxicgen dataset, which is not directly relevant to this 
work but we leave them there as the metadata in case it's useful for the future works.



If you find this dataset useful, please cite:
TAGS
#task_categories-text-generation #task_categories-text-classification #size_categories-10K<n<100K #language-English #license-openrail #arxiv-2306.01985 #arxiv-2203.09509 #region-us 
 # Dataset Card for Dataset Name ## Dataset Description

- Homepage: URL 
- Paper: URL ### Dataset Summary
This dataset contains COBRACOPURS and COBRACORPUS-counterfactual in this paper ### Data Splits
* 'advContexts_explanations.csv' is 'COBRACorpus-CF'
* 'toxigen_explanations.csv' is the full 'COBRACorpus'
* 'toxigen_explanations_train.csv' is the training split of 'COBRACorpus'
* 'toxigen_explanations_val.csv' is the validation split of 'COBRACorpus' ### Data Entries

For 'COBRACorpus', the relevant entries in the 'csv' files are

*'situationalContext (string)', 'speakerIdentity (string)', 'listenerIdentity (string)', 'statement (string)', 
'intent (string)', 'targetGroup (string)', 'relevantPowerDynamics (string)', 'implication (string)', 
'targetGroupEmotionalReaction (string)', 'targetGroupCognitiveReaction (string)', 'offensiveness (string)'*

Please refer to the paper for the specific explanations of these entries.

The *'examples'* entry is the few-shot prompt that we used to generate explanations.

All other entries are from the Toxicgen dataset, which is not directly relevant to this 
work but we leave them there as the metadata in case it's useful for the future works.



If you find this dataset useful, please cite: