
# Dataset Card for EstCOPA

### Dataset Summary

EstCOPA is an extended version of [XCOPA](https://huggingface.co/datasets/xcopa) that was created with a goal to further investigate Estonian language understanding of large language models. EstCOPA provides two new versions of train, eval and test datasets in Estonian: firstly, a machine translated (En->Et) version of original English COPA ([Roemmele et al., 2011](http://commonsensereasoning.org/2011/papers/Roemmele.pdf))  and secondly, a manually post-edited version of the same machine translated data. 

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

- et

## 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

If you use the dataset in your work, please cite

```
 @article{kuulmets_estcopa_2022,
   title={Estonian Language Understanding: a Case Study on the COPA Task},
   volume={10},
   DOI={https://doi.org/10.22364/bjmc.2022.10.3.19}, number={3},
   journal={Baltic Journal of Modern Computing},
   author={Kuulmets, Hele-Andra and Tättar, Andre and Fishel, Mark},
   year={2022},
   pages={470–480}
 }
```

### Contributions

Thanks to [@helehh](https://github.com/helehh) for adding this dataset.

task_categories:question-answering annotations_creators:expert-generated language_creators:expert-generated language_creators:machine-generated multilinguality:monolingual multilinguality:translation size_categories:n<1K source_datasets:extended|xcopa language:et license:cc-by-4.0 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated", "machine-generated"], "language": ["et"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual", "translation"], "size_categories": ["n<1K"], "source_datasets": ["extended|xcopa"], "task_categories": ["question-answering"], "task_ids": [], "pretty_name": "EstCOPA", "tags": []}
TAGS
#task_categories-question-answering #annotations_creators-expert-generated #language_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #multilinguality-translation #size_categories-n<1K #source_datasets-extended|xcopa #language-Estonian #license-cc-by-4.0 #region-us 


# Dataset Card for EstCOPA

### Dataset Summary

EstCOPA is an extended version of XCOPA that was created with a goal to further investigate Estonian language understanding of large language models. EstCOPA provides two new versions of train, eval and test datasets in Estonian: firstly, a machine translated (En->Et) version of original English COPA (Roemmele et al., 2011)  and secondly, a manually post-edited version of the same machine translated data. 

### Supported Tasks and Leaderboards



### Languages

- et

## 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





If you use the dataset in your work, please cite



### Contributions

Thanks to @helehh for adding this dataset.

# Dataset Card for EstCOPA ### Dataset Summary

EstCOPA is an extended version of XCOPA that was created with a goal to further investigate Estonian language understanding of large language models. EstCOPA provides two new versions of train, eval and test datasets in Estonian: firstly, a machine translated (En->Et) version of original English COPA (Roemmele et al., 2011)  and secondly, a manually post-edited version of the same machine translated data. ### Supported Tasks and Leaderboards ### Languages

- et ## 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





If you use the dataset in your work, please cite ### Contributions

Thanks to @helehh for adding this dataset.
TAGS
#task_categories-question-answering #annotations_creators-expert-generated #language_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #multilinguality-translation #size_categories-n<1K #source_datasets-extended|xcopa #language-Estonian #license-cc-by-4.0 #region-us 
 # Dataset Card for EstCOPA ### Dataset Summary

EstCOPA is an extended version of XCOPA that was created with a goal to further investigate Estonian language understanding of large language models. EstCOPA provides two new versions of train, eval and test datasets in Estonian: firstly, a machine translated (En->Et) version of original English COPA (Roemmele et al., 2011)  and secondly, a manually post-edited version of the same machine translated data. ### Supported Tasks and Leaderboards ### Languages

- et ## 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





If you use the dataset in your work, please cite ### Contributions

Thanks to @helehh for adding this dataset.
passage: TAGS
#task_categories-question-answering #annotations_creators-expert-generated #language_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #multilinguality-translation #size_categories-n<1K #source_datasets-extended|xcopa #language-Estonian #license-cc-by-4.0 #region-us 
# Dataset Card for EstCOPA### Dataset Summary

EstCOPA is an extended version of XCOPA that was created with a goal to further investigate Estonian language understanding of large language models. EstCOPA provides two new versions of train, eval and test datasets in Estonian: firstly, a machine translated (En->Et) version of original English COPA (Roemmele et al., 2011)  and secondly, a manually post-edited version of the same machine translated data.### Supported Tasks and Leaderboards### Languages

- et## 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





If you use the dataset in your work, please cite### Contributions

Thanks to @helehh for adding this dataset.