metadata

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!