| | --- |
| | annotations_creators: |
| | - found |
| | language_creators: |
| | - found |
| | language: |
| | - de |
| | - en |
| | - es |
| | - fr |
| | - ja |
| | - zh |
| | license: |
| | - other |
| | multilinguality: |
| | - monolingual |
| | - multilingual |
| | size_categories: |
| | - 100K<n<1M |
| | - 1M<n<10M |
| | source_datasets: |
| | - original |
| | task_categories: |
| | - summarization |
| | - text-generation |
| | - fill-mask |
| | - text-classification |
| | task_ids: |
| | - text-scoring |
| | - language-modeling |
| | - masked-language-modeling |
| | - sentiment-classification |
| | - sentiment-scoring |
| | - topic-classification |
| | paperswithcode_id: null |
| | pretty_name: The Multilingual Amazon Reviews Corpus |
| | dataset_info: |
| | - config_name: all_languages |
| | features: |
| | - name: review_id |
| | dtype: string |
| | - name: product_id |
| | dtype: string |
| | - name: reviewer_id |
| | dtype: string |
| | - name: stars |
| | dtype: int32 |
| | - name: review_body |
| | dtype: string |
| | - name: review_title |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: product_category |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 364405048 |
| | num_examples: 1200000 |
| | - name: validation |
| | num_bytes: 9047533 |
| | num_examples: 30000 |
| | - name: test |
| | num_bytes: 9099141 |
| | num_examples: 30000 |
| | download_size: 640320386 |
| | dataset_size: 382551722 |
| | - config_name: de |
| | features: |
| | - name: review_id |
| | dtype: string |
| | - name: product_id |
| | dtype: string |
| | - name: reviewer_id |
| | dtype: string |
| | - name: stars |
| | dtype: int32 |
| | - name: review_body |
| | dtype: string |
| | - name: review_title |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: product_category |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 64485678 |
| | num_examples: 200000 |
| | - name: validation |
| | num_bytes: 1605727 |
| | num_examples: 5000 |
| | - name: test |
| | num_bytes: 1611044 |
| | num_examples: 5000 |
| | download_size: 94802490 |
| | dataset_size: 67702449 |
| | - config_name: en |
| | features: |
| | - name: review_id |
| | dtype: string |
| | - name: product_id |
| | dtype: string |
| | - name: reviewer_id |
| | dtype: string |
| | - name: stars |
| | dtype: int32 |
| | - name: review_body |
| | dtype: string |
| | - name: review_title |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: product_category |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 58601089 |
| | num_examples: 200000 |
| | - name: validation |
| | num_bytes: 1474672 |
| | num_examples: 5000 |
| | - name: test |
| | num_bytes: 1460565 |
| | num_examples: 5000 |
| | download_size: 86094112 |
| | dataset_size: 61536326 |
| | - config_name: es |
| | features: |
| | - name: review_id |
| | dtype: string |
| | - name: product_id |
| | dtype: string |
| | - name: reviewer_id |
| | dtype: string |
| | - name: stars |
| | dtype: int32 |
| | - name: review_body |
| | dtype: string |
| | - name: review_title |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: product_category |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 52375658 |
| | num_examples: 200000 |
| | - name: validation |
| | num_bytes: 1303958 |
| | num_examples: 5000 |
| | - name: test |
| | num_bytes: 1312347 |
| | num_examples: 5000 |
| | download_size: 81345461 |
| | dataset_size: 54991963 |
| | - config_name: fr |
| | features: |
| | - name: review_id |
| | dtype: string |
| | - name: product_id |
| | dtype: string |
| | - name: reviewer_id |
| | dtype: string |
| | - name: stars |
| | dtype: int32 |
| | - name: review_body |
| | dtype: string |
| | - name: review_title |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: product_category |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 54593565 |
| | num_examples: 200000 |
| | - name: validation |
| | num_bytes: 1340763 |
| | num_examples: 5000 |
| | - name: test |
| | num_bytes: 1364510 |
| | num_examples: 5000 |
| | download_size: 85917293 |
| | dataset_size: 57298838 |
| | - config_name: ja |
| | features: |
| | - name: review_id |
| | dtype: string |
| | - name: product_id |
| | dtype: string |
| | - name: reviewer_id |
| | dtype: string |
| | - name: stars |
| | dtype: int32 |
| | - name: review_body |
| | dtype: string |
| | - name: review_title |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: product_category |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 82401390 |
| | num_examples: 200000 |
| | - name: validation |
| | num_bytes: 2035391 |
| | num_examples: 5000 |
| | - name: test |
| | num_bytes: 2048048 |
| | num_examples: 5000 |
| | download_size: 177773783 |
| | dataset_size: 86484829 |
| | - config_name: zh |
| | features: |
| | - name: review_id |
| | dtype: string |
| | - name: product_id |
| | dtype: string |
| | - name: reviewer_id |
| | dtype: string |
| | - name: stars |
| | dtype: int32 |
| | - name: review_body |
| | dtype: string |
| | - name: review_title |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: product_category |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 51947668 |
| | num_examples: 200000 |
| | - name: validation |
| | num_bytes: 1287106 |
| | num_examples: 5000 |
| | - name: test |
| | num_bytes: 1302711 |
| | num_examples: 5000 |
| | download_size: 114387247 |
| | dataset_size: 54537485 |
| | config_names: |
| | - all_languages |
| | - de |
| | - en |
| | - es |
| | - fr |
| | - ja |
| | - zh |
| | viewer: false |
| | --- |
| | |
| | # Dataset Card for The Multilingual Amazon Reviews Corpus |
| |
|
| | ## Table of Contents |
| | - [Dataset Card for amazon_reviews_multi](#dataset-card-for-amazon_reviews_multi) |
| | - [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) |
| | - [plain_text](#plain_text) |
| | - [Data Fields](#data-fields) |
| | - [plain_text](#plain_text-1) |
| | - [Data Splits](#data-splits) |
| |
|
| |
|
| | ## Dataset Description |
| |
|
| | - **Reference:** [Please see defunct-datasets/amazon_reviews_multi at 🤗 Datasets](https://huggingface.co/datasets/defunct-datasets/amazon_reviews_multi) |
| |
|
| | ### Dataset Summary |
| |
|
| | This is a clone / reproduction of the Multilingual Amazon Reviews Corpus. |
| |
|
| | Please see [`defunct-datasets/amazon_reviews_multi` at 🤗 Datasets](https://huggingface.co/datasets/defunct-datasets/amazon_reviews_multi) |
| |
|
| | ### Supported Tasks and Leaderboards |
| |
|
| | [More Information Needed] |
| |
|
| | ### Languages |
| |
|
| | The dataset contains reviews in English, Japanese, German, French, Chinese and Spanish. |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Data Instances |
| |
|
| | Each data instance corresponds to a review. The original JSON for an instance looks like so (German example): |
| |
|
| | ```json |
| | { |
| | "review_id": "de_0784695", |
| | "product_id": "product_de_0572654", |
| | "reviewer_id": "reviewer_de_0645436", |
| | "stars": "1", |
| | "review_body": "Leider, leider nach einmal waschen ausgeblichen . Es sieht super h\u00fcbsch aus , nur leider stinkt es ganz schrecklich und ein Waschgang in der Maschine ist notwendig ! Nach einem mal waschen sah es aus als w\u00e4re es 10 Jahre alt und hatte 1000 e von Waschg\u00e4ngen hinter sich :( echt schade !", |
| | "review_title": "Leider nicht zu empfehlen", |
| | "language": "de", |
| | "product_category": "home" |
| | } |
| | ``` |
| |
|
| | ### Data Fields |
| |
|
| | - `review_id`: A string identifier of the review. |
| | - `product_id`: A string identifier of the product being reviewed. |
| | - `reviewer_id`: A string identifier of the reviewer. |
| | - `stars`: An int between 1-5 indicating the number of stars. |
| | - `review_body`: The text body of the review. |
| | - `review_title`: The text title of the review. |
| | - `language`: The string identifier of the review language. |
| | - `product_category`: String representation of the product's category. |
| |
|
| | ### Data Splits |
| |
|
| | Each language configuration comes with its own `train`, `validation`, and `test` splits. The `all_languages` split |
| | is simply a concatenation of the corresponding split across all languages. That is, the `train` split for |
| | `all_languages` is a concatenation of the `train` splits for each of the languages and likewise for `validation` and |
| | `test`. |
| |
|
| |
|
