
# Dataset Card for InferES

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** https://github.com/venelink/inferes
- **Repository:** https://github.com/venelink/inferes
- **Paper:** https://arxiv.org/abs/2210.03068
- **Point of Contact:** venelin [at] utexas [dot] edu

### Dataset Summary

Natural Language Inference dataset for European Spanish

Paper accepted and (to be) presented at COLING 2022

### Supported Tasks and Leaderboards

Natural Language Inference

### Languages

Spanish

## Dataset Structure

The dataset contains two texts inputs (Premise and Hypothesis), Label for three-way classification, and annotation data.

### Data Instances

train size = 6444 

test size = 1612

### Data Fields

ID : the unique ID of the instance

Premise 

Hypothesis

Label: cnt, ent, neutral

Topic: 1 (Picasso), 2 (Columbus), 3 (Videogames), 4 (Olympic games), 5 (EU), 6 (USSR)

Anno: ID of the annotators (in cases of undergrads or crowd - the ID of the group)

Anno Type: Generate, Rewrite, Crowd, and Automated

### Data Splits

train size = 6444 

test size = 1612

The train/test split is stratified by a key that combines Label + Anno + Anno type

### Source Data

Wikipedia + text generated from "sentence generators" hired as part of the process

#### Who are the annotators?

Native speakers of European Spanish

### Personal and Sensitive Information

No personal or Sensitive information is included.

Annotators are anonymized and only kept as "ID" for research purposes.

### Dataset Curators

Venelin Kovatchev

### Licensing Information

cc-by-4.0

### Citation Information

To be added after proceedings from COLING 2022 appear

### Contributions

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

task_categories:text-classification task_ids:natural-language-inference annotations_creators:expert-generated language_creators:expert-generated multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:es license:cc-by-4.0 nli spanish negation coreference arxiv:2210.03068 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["es"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["natural-language-inference"], "pretty_name": "InferES", "tags": ["nli", "spanish", "negation", "coreference"]}
TAGS
#task_categories-text-classification #task_ids-natural-language-inference #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Spanish #license-cc-by-4.0 #nli #spanish #negation #coreference #arxiv-2210.03068 #region-us 


# Dataset Card for InferES

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Homepage: URL
- Repository: URL
- Paper: URL
- Point of Contact: venelin [at] utexas [dot] edu

### Dataset Summary

Natural Language Inference dataset for European Spanish

Paper accepted and (to be) presented at COLING 2022

### Supported Tasks and Leaderboards

Natural Language Inference

### Languages

Spanish

## Dataset Structure

The dataset contains two texts inputs (Premise and Hypothesis), Label for three-way classification, and annotation data.

### Data Instances

train size = 6444 

test size = 1612

### Data Fields

ID : the unique ID of the instance

Premise 

Hypothesis

Label: cnt, ent, neutral

Topic: 1 (Picasso), 2 (Columbus), 3 (Videogames), 4 (Olympic games), 5 (EU), 6 (USSR)

Anno: ID of the annotators (in cases of undergrads or crowd - the ID of the group)

Anno Type: Generate, Rewrite, Crowd, and Automated

### Data Splits

train size = 6444 

test size = 1612

The train/test split is stratified by a key that combines Label + Anno + Anno type

### Source Data

Wikipedia + text generated from "sentence generators" hired as part of the process

#### Who are the annotators?

Native speakers of European Spanish

### Personal and Sensitive Information

No personal or Sensitive information is included.

Annotators are anonymized and only kept as "ID" for research purposes.

### Dataset Curators

Venelin Kovatchev

### Licensing Information

cc-by-4.0



To be added after proceedings from COLING 2022 appear

### Contributions

Thanks to @venelink for adding this dataset.

# Dataset Card for InferES ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: URL
- Repository: URL
- Paper: URL
- Point of Contact: venelin [at] utexas [dot] edu ### Dataset Summary

Natural Language Inference dataset for European Spanish

Paper accepted and (to be) presented at COLING 2022 ### Supported Tasks and Leaderboards

Natural Language Inference ### Languages

Spanish ## Dataset Structure

The dataset contains two texts inputs (Premise and Hypothesis), Label for three-way classification, and annotation data. ### Data Instances

train size = 6444 

test size = 1612 ### Data Fields

ID : the unique ID of the instance

Premise 

Hypothesis

Label: cnt, ent, neutral

Topic: 1 (Picasso), 2 (Columbus), 3 (Videogames), 4 (Olympic games), 5 (EU), 6 (USSR)

Anno: ID of the annotators (in cases of undergrads or crowd - the ID of the group)

Anno Type: Generate, Rewrite, Crowd, and Automated ### Data Splits

train size = 6444 

test size = 1612

The train/test split is stratified by a key that combines Label + Anno + Anno type ### Source Data

Wikipedia + text generated from "sentence generators" hired as part of the process #### Who are the annotators?

Native speakers of European Spanish ### Personal and Sensitive Information

No personal or Sensitive information is included.

Annotators are anonymized and only kept as "ID" for research purposes. ### Dataset Curators

Venelin Kovatchev ### Licensing Information

cc-by-4.0



To be added after proceedings from COLING 2022 appear ### Contributions

Thanks to @venelink for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-natural-language-inference #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Spanish #license-cc-by-4.0 #nli #spanish #negation #coreference #arxiv-2210.03068 #region-us 
 # Dataset Card for InferES ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: URL
- Repository: URL
- Paper: URL
- Point of Contact: venelin [at] utexas [dot] edu ### Dataset Summary

Natural Language Inference dataset for European Spanish

Paper accepted and (to be) presented at COLING 2022 ### Supported Tasks and Leaderboards

Natural Language Inference ### Languages

Spanish ## Dataset Structure

The dataset contains two texts inputs (Premise and Hypothesis), Label for three-way classification, and annotation data. ### Data Instances

train size = 6444 

test size = 1612 ### Data Fields

ID : the unique ID of the instance

Premise 

Hypothesis

Label: cnt, ent, neutral

Topic: 1 (Picasso), 2 (Columbus), 3 (Videogames), 4 (Olympic games), 5 (EU), 6 (USSR)

Anno: ID of the annotators (in cases of undergrads or crowd - the ID of the group)

Anno Type: Generate, Rewrite, Crowd, and Automated ### Data Splits

train size = 6444 

test size = 1612

The train/test split is stratified by a key that combines Label + Anno + Anno type ### Source Data

Wikipedia + text generated from "sentence generators" hired as part of the process #### Who are the annotators?

Native speakers of European Spanish ### Personal and Sensitive Information

No personal or Sensitive information is included.

Annotators are anonymized and only kept as "ID" for research purposes. ### Dataset Curators

Venelin Kovatchev ### Licensing Information

cc-by-4.0



To be added after proceedings from COLING 2022 appear ### Contributions

Thanks to @venelink for adding this dataset.