---
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!