| --- |
| dataset_info: |
| features: |
| - name: review |
| dtype: string |
| - name: lang |
| dtype: string |
| - name: sentiment |
| dtype: string |
| - name: __index_level_0__ |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 1205173 |
| num_examples: 1600 |
| - name: validation |
| num_bytes: 294552 |
| num_examples: 400 |
| download_size: 920128 |
| dataset_size: 1499725 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| license: apache-2.0 |
| task_categories: |
| - text-classification |
| language: |
| - en |
| - fr |
| --- |
| |
|
|
| # Camping Reviews Sentiment (EN-FR) |
|
|
| This dataset is a bilingual collection of reviews in **English** and **French** scraped from **Tripadvisor**, focusing on customer experiences and sentiments related to camping. Each review is labeled with its corresponding sentiment (**positive**, **negative**, or **neutral**). |
|
|
| ## Key Features |
|
|
| - **Bilingual Content**: Reviews are available in **English** and **French**, making it ideal for multilingual sentiment analysis tasks. |
| - **Rich Review Length**: Includes **long review sequences of up to 500 words per review**, providing in-depth insights into customer opinions. |
| - **Comprehensive Vocabulary**: Contains diverse and descriptive terms specific to the **camping domain**, such as *tent*, *campfire*, *hiking trails*, and *outdoor activities*. |
| - **Sentiment Labels**: Each review is tagged with its sentiment, facilitating easy classification tasks. |
|
|
| This dataset is perfect for applications in **sentiment analysis**, **natural language processing**, and **multilingual text modeling**. |
|
|
| Make your models explore the **longer and more detailed sequences** that set this dataset apart! |
