Datasets:
Tasks:
Text Classification
Languages:
Polish
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
License:
| 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-* | |
| # 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. |