Datasets:
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---
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! |