
# 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://klejbenchmark.com/
- **Repository:**
https://github.com/allegro/klejbenchmark-allegroreviews
- **Paper:**
KLEJ: Comprehensive Benchmark for Polish Language Understanding (Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz)
- **Leaderboard:**
https://klejbenchmark.com/leaderboard/
- **Point of Contact:**
klejbenchmark@allegro.pl

### Dataset Summary

Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted from Allegro.pl - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale from one (negative review) to five (positive review).

We recommend using the provided train/dev/test split. The ratings for the test set reviews are kept hidden. You can evaluate your model using the online evaluation tool available on klejbenchmark.com.

### Supported Tasks and Leaderboards

Product reviews sentiment analysis.
https://klejbenchmark.com/leaderboard/

### Languages

Polish

## Dataset Structure

### Data Instances

Two tsv files (train, dev) with two columns (text, rating) and one (test) with just one (text). 

### Data Fields

- text: a product review of at least 50 words
- rating: product rating of a scale of one (negative review) to five (positive review)

### Data Splits

Data is splitted in train/dev/test split.

## Dataset Creation

### Curation Rationale

This dataset is one of nine evaluation tasks to improve polish language processing.

### Source Data

#### Initial Data Collection and Normalization

The Allegro Reviews is a set of product reviews from a popular e-commerce marketplace (Allegro.pl).

#### Who are the source language producers?

Customers of an e-commerce marketplace.

### 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

Allegro Machine Learning Research team klejbenchmark@allegro.pl

### Licensing Information

Dataset licensed under CC BY-SA 4.0

### Citation Information

@inproceedings{rybak-etal-2020-klej,
    title = "{KLEJ}: Comprehensive Benchmark for Polish Language Understanding",
    author = "Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.acl-main.111",
    pages = "1191--1201",
}

### Contributions

Thanks to [@abecadel](https://github.com/abecadel) for adding this dataset.
task_categories:text-classification task_ids:sentiment-scoring task_ids:text-scoring annotations_creators:found language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:pl license:cc-by-sa-4.0 region:us
{"annotations_creators": ["found"], "language_creators": ["found"], "language": ["pl"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-scoring", "text-scoring"], "paperswithcode_id": "allegro-reviews", "pretty_name": "Allegro Reviews", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "rating", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 4899535, "num_examples": 9577}, {"name": "test", "num_bytes": 514523, "num_examples": 1006}, {"name": "validation", "num_bytes": 515781, "num_examples": 1002}], "download_size": 3923657, "dataset_size": 5929839}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}]}
TAGS
#task_categories-text-classification #task_ids-sentiment-scoring #task_ids-text-scoring #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Polish #license-cc-by-sa-4.0 #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:
URL
- Paper:
KLEJ: Comprehensive Benchmark for Polish Language Understanding (Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz)
- Leaderboard:
URL
- Point of Contact:
klejbenchmark@URL

### Dataset Summary

Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted from URL - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale from one (negative review) to five (positive review).

We recommend using the provided train/dev/test split. The ratings for the test set reviews are kept hidden. You can evaluate your model using the online evaluation tool available on URL.

### Supported Tasks and Leaderboards

Product reviews sentiment analysis.
URL

### Languages

Polish

## Dataset Structure

### Data Instances

Two tsv files (train, dev) with two columns (text, rating) and one (test) with just one (text). 

### Data Fields

- text: a product review of at least 50 words
- rating: product rating of a scale of one (negative review) to five (positive review)

### Data Splits

Data is splitted in train/dev/test split.

## Dataset Creation

### Curation Rationale

This dataset is one of nine evaluation tasks to improve polish language processing.

### Source Data

#### Initial Data Collection and Normalization

The Allegro Reviews is a set of product reviews from a popular e-commerce marketplace (URL).

#### Who are the source language producers?

Customers of an e-commerce marketplace.

### 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

Allegro Machine Learning Research team klejbenchmark@URL

### Licensing Information

Dataset licensed under CC BY-SA 4.0



@inproceedings{rybak-etal-2020-klej,
    title = "{KLEJ}: Comprehensive Benchmark for Polish Language Understanding",
    author = "Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "URL
    pages = "1191--1201",
}

### 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:
URL
- Paper:
KLEJ: Comprehensive Benchmark for Polish Language Understanding (Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz)
- Leaderboard:
URL
- Point of Contact:
klejbenchmark@URL ### Dataset Summary

Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted from URL - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale from one (negative review) to five (positive review).

We recommend using the provided train/dev/test split. The ratings for the test set reviews are kept hidden. You can evaluate your model using the online evaluation tool available on URL. ### Supported Tasks and Leaderboards

Product reviews sentiment analysis.
URL ### Languages

Polish ## Dataset Structure ### Data Instances

Two tsv files (train, dev) with two columns (text, rating) and one (test) with just one (text). ### Data Fields

- text: a product review of at least 50 words
- rating: product rating of a scale of one (negative review) to five (positive review) ### Data Splits

Data is splitted in train/dev/test split. ## Dataset Creation ### Curation Rationale

This dataset is one of nine evaluation tasks to improve polish language processing. ### Source Data #### Initial Data Collection and Normalization

The Allegro Reviews is a set of product reviews from a popular e-commerce marketplace (URL). #### Who are the source language producers?

Customers of an e-commerce marketplace. ### 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

Allegro Machine Learning Research team klejbenchmark@URL ### Licensing Information

Dataset licensed under CC BY-SA 4.0



@inproceedings{rybak-etal-2020-klej,
    title = "{KLEJ}: Comprehensive Benchmark for Polish Language Understanding",
    author = "Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "URL
    pages = "1191--1201",
} ### Contributions

Thanks to @abecadel for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-sentiment-scoring #task_ids-text-scoring #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Polish #license-cc-by-sa-4.0 #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:
URL
- Paper:
KLEJ: Comprehensive Benchmark for Polish Language Understanding (Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz)
- Leaderboard:
URL
- Point of Contact:
klejbenchmark@URL ### Dataset Summary

Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted from URL - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale from one (negative review) to five (positive review).

We recommend using the provided train/dev/test split. The ratings for the test set reviews are kept hidden. You can evaluate your model using the online evaluation tool available on URL. ### Supported Tasks and Leaderboards

Product reviews sentiment analysis.
URL ### Languages

Polish ## Dataset Structure ### Data Instances

Two tsv files (train, dev) with two columns (text, rating) and one (test) with just one (text). ### Data Fields

- text: a product review of at least 50 words
- rating: product rating of a scale of one (negative review) to five (positive review) ### Data Splits

Data is splitted in train/dev/test split. ## Dataset Creation ### Curation Rationale

This dataset is one of nine evaluation tasks to improve polish language processing. ### Source Data #### Initial Data Collection and Normalization

The Allegro Reviews is a set of product reviews from a popular e-commerce marketplace (URL). #### Who are the source language producers?

Customers of an e-commerce marketplace. ### 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

Allegro Machine Learning Research team klejbenchmark@URL ### Licensing Information

Dataset licensed under CC BY-SA 4.0



@inproceedings{rybak-etal-2020-klej,
    title = "{KLEJ}: Comprehensive Benchmark for Polish Language Understanding",
    author = "Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "URL
    pages = "1191--1201",
} ### Contributions

Thanks to @abecadel for adding this dataset.
passage: TAGS
#task_categories-text-classification #task_ids-sentiment-scoring #task_ids-text-scoring #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Polish #license-cc-by-sa-4.0 #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:
URL
- Paper:
KLEJ: Comprehensive Benchmark for Polish Language Understanding (Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz)
- Leaderboard:
URL
- Point of Contact:
klejbenchmark@URL### Dataset Summary

Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted from URL - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale from one (negative review) to five (positive review).

We recommend using the provided train/dev/test split. The ratings for the test set reviews are kept hidden. You can evaluate your model using the online evaluation tool available on URL.### Supported Tasks and Leaderboards

Product reviews sentiment analysis.
URL### Languages

Polish## Dataset Structure### Data Instances

Two tsv files (train, dev) with two columns (text, rating) and one (test) with just one (text).