| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| - split: test |
| path: data/test-* |
| dataset_info: |
| features: |
| - name: text |
| dtype: string |
| - name: label |
| dtype: int64 |
| - name: language |
| dtype: string |
| - name: dataset |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 147033765 |
| num_examples: 670450 |
| - name: validation |
| num_bytes: 772660 |
| num_examples: 3386 |
| - name: test |
| num_bytes: 734021 |
| num_examples: 3386 |
| download_size: 81782267 |
| dataset_size: 148540446 |
| --- |
| # Dataset Card for "sentiment" |
|
|
| ## Dataset Description |
|
|
| - **Point of Contact:** [Oliver Kinch](mailto:oliver.kinch@alexandra.dk) |
| - **Size of dataset:** 139 MB |
|
|
| ### Dataset Summary |
|
|
| The dataset includes review comments from sources like TrustPilot and comments from social media platforms. |
|
|
| It's a binary sentiment dataset where a label of 0 represents "negative" text and a label of 1 indicates "positive" text. |
|
|
| ### Supported Tasks |
|
|
| Sentiment classification is the intended task for this dataset. |
|
|
| ### Languages |
|
|
| The dataset predominantly contains Danish (da) text but also includes Norwegian (no), Swedish (sv), and English (en) text. |
|
|
| ## Dataset Structure |
|
|
| An example from the dataset looks as follows. |
|
|
| ``` |
| { |
| "text": "some text", |
| "label": 0, |
| "language": "en", |
| "dataset": "da.csv" |
| } |
| ``` |
|
|
| ### Data Fields |
|
|
| - `text`: a `string` feature. |
| - `label`: an `int64` feature. |
| - `language`: a `string` feature. |
| - `dataset`: a `string` feature. |
|
|
| The `dataset` feature specifies the sample's source. If it's `danish-some-sentiment.tsv`, it's a social media comment; otherwise, it's a review comment. See `Source Data` for more information. |
|
|
| #### Number of samples |
|
|
| - Train: 670,450 |
| - Val: 3,386 |
| - Test: 3,386 |
|
|
| #### Language distribution |
|
|
| There are 10,000 samples for each language except for Danish, for which there are significantly more samples. |
|
|
|  |
|
|
| #### Label distribution |
|
|
| - Class 0: 195,242 |
| - Class 1: 481,980 |
|
|
|  |
|
|
| #### Text lengths (Number of characters) |
|
|
| - Minimum: 1 (for example just an emoji) |
| - Maximum: 22,689 |
| - Mean: 180.0 |
| - Median: 76.0 |
|
|
|  |
|
|
|
|
| ## Dataset Creation |
|
|
| ### Curation Rationale |
|
|
| Larger sentiment datasets in the Scandinavian languages are needed to improve sentiment model training for these languages. |
|
|
| ### Source Data |
|
|
| The dataset is a compilation of multiple datasets. |
|
|
| *Review datasets*: |
|
|
| - `da-reviews.tsv` |
| - `da.csv` |
| - `en.csv` |
| - `no.csv` |
| - `sv.csv` |
|
|
| *Social media comment datasets*: |
|
|
| - `danish-some-sentiment.tsv` |
|
|
| For specific dataset inquiries, please contact [Oliver Kinch](https://huggingface.co/oliverkinch) |
|
|
|
|
| ## Additional Information |
|
|
| ### Dataset Curators |
|
|
| [Oliver Kinch](https://huggingface.co/oliverkinch) from the [The Alexandra |
| Institute](https://alexandra.dk/) |
|
|
| ### Licensing Information |
|
|
| The dataset is licensed under the [CC0 |
| license](https://creativecommons.org/share-your-work/public-domain/cc0/). |
