
# Dataset Card for [Dataset Name]

## 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)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:**
  https://clarin-pl.eu/dspace/handle/11321/710
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

The PolEmo2.0 is a set of online reviews from medicine and hotels domains. The task is to predict the sentiment of a review. There are two separate test sets, to allow for in-domain (medicine and hotels) as well as out-of-domain (products and university) validation.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

Polish

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

- sentence: string, the review
- target: sentiment of the sentence class

The same tag system is used in plWordNet Emo for lexical units: [+m] (strong positive), [+s] (weak positive), [-m] (strong negative), [-s] (weak negative), [amb] (ambiguous) and [0] (neutral).

Note that the test set doesn't have targets so -1 is used instead

### 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

Dataset provided for research purposes only. Please check dataset license for additional information.

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

CC BY-NC-SA 4.0

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@abecadel](https://github.com/abecadel) for adding this dataset.
task_categories:text-classification task_ids:sentiment-classification annotations_creators:expert-generated language_creators:other multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:pl license:bsd-3-clause region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["other"], "language": ["pl"], "license": ["bsd-3-clause"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_name": "polemo2", "dataset_info": [{"config_name": "in", "features": [{"name": "sentence", "dtype": "string"}, {"name": "target", "dtype": {"class_label": {"names": {"0": "__label__meta_amb", "1": "__label__meta_minus_m", "2": "__label__meta_plus_m", "3": "__label__meta_zero"}}}}], "splits": [{"name": "train", "num_bytes": 4810215, "num_examples": 5783}, {"name": "test", "num_bytes": 582052, "num_examples": 722}, {"name": "validation", "num_bytes": 593530, "num_examples": 723}], "download_size": 2350339, "dataset_size": 5985797}, {"config_name": "out", "features": [{"name": "sentence", "dtype": "string"}, {"name": "target", "dtype": {"class_label": {"names": {"0": "__label__meta_amb", "1": "__label__meta_minus_m", "2": "__label__meta_plus_m", "3": "__label__meta_zero"}}}}], "splits": [{"name": "train", "num_bytes": 4810215, "num_examples": 5783}, {"name": "test", "num_bytes": 309790, "num_examples": 494}, {"name": "validation", "num_bytes": 310977, "num_examples": 494}], "download_size": 2139891, "dataset_size": 5430982}]}
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Polish #license-bsd-3-clause #region-us 


# Dataset Card for [Dataset Name]

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - 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
  - Citation Information
  - Contributions

## Dataset Description

- Homepage:
  URL
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:

### Dataset Summary

The PolEmo2.0 is a set of online reviews from medicine and hotels domains. The task is to predict the sentiment of a review. There are two separate test sets, to allow for in-domain (medicine and hotels) as well as out-of-domain (products and university) validation.

### Supported Tasks and Leaderboards



### Languages

Polish

## Dataset Structure

### Data Instances



### Data Fields

- sentence: string, the review
- target: sentiment of the sentence class

The same tag system is used in plWordNet Emo for lexical units: [+m] (strong positive), [+s] (weak positive), [-m] (strong negative), [-s] (weak negative), [amb] (ambiguous) and [0] (neutral).

Note that the test set doesn't have targets so -1 is used instead

### 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

Dataset provided for research purposes only. Please check dataset license for additional information.

## Additional Information

### Dataset Curators



### Licensing Information

CC BY-NC-SA 4.0





### Contributions

Thanks to @abecadel for adding this dataset.
# Dataset Card for [Dataset Name] ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - 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
  - Citation Information
  - Contributions ## Dataset Description

- Homepage:
  URL
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: ### Dataset Summary

The PolEmo2.0 is a set of online reviews from medicine and hotels domains. The task is to predict the sentiment of a review. There are two separate test sets, to allow for in-domain (medicine and hotels) as well as out-of-domain (products and university) validation. ### Supported Tasks and Leaderboards ### Languages

Polish ## Dataset Structure ### Data Instances ### Data Fields

- sentence: string, the review
- target: sentiment of the sentence class

The same tag system is used in plWordNet Emo for lexical units: [+m] (strong positive), [+s] (weak positive), [-m] (strong negative), [-s] (weak negative), [amb] (ambiguous) and [0] (neutral).

Note that the test set doesn't have targets so -1 is used instead ### 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

Dataset provided for research purposes only. Please check dataset license for additional information. ## Additional Information ### Dataset Curators ### Licensing Information

CC BY-NC-SA 4.0 ### Contributions

Thanks to @abecadel for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Polish #license-bsd-3-clause #region-us 
 # Dataset Card for [Dataset Name] ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - 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
  - Citation Information
  - Contributions ## Dataset Description

- Homepage:
  URL
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: ### Dataset Summary

The PolEmo2.0 is a set of online reviews from medicine and hotels domains. The task is to predict the sentiment of a review. There are two separate test sets, to allow for in-domain (medicine and hotels) as well as out-of-domain (products and university) validation. ### Supported Tasks and Leaderboards ### Languages

Polish ## Dataset Structure ### Data Instances ### Data Fields

- sentence: string, the review
- target: sentiment of the sentence class

The same tag system is used in plWordNet Emo for lexical units: [+m] (strong positive), [+s] (weak positive), [-m] (strong negative), [-s] (weak negative), [amb] (ambiguous) and [0] (neutral).

Note that the test set doesn't have targets so -1 is used instead ### 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

Dataset provided for research purposes only. Please check dataset license for additional information. ## Additional Information ### Dataset Curators ### Licensing Information

CC BY-NC-SA 4.0 ### Contributions

Thanks to @abecadel for adding this dataset.