Product Reviews
amazon_product_reviews_video_games#Title
multimodal-product-reviews-lazada
A Multimodal Product Reviews Dataset Collected from Lazada (2024)
Description
This dataset comprises:
Product Information: including both product images and textual descriptions
User-Generated Reviews: including review images and textual reviews
Language: Vietnamese
The data was collected from the Lazada e-commerce platform in 2024.
Example
{
"product_id": "1086202",
"product_information": {
"product_images": [… See the full description on the dataset page: https://huggingface.co/datasets/trucmtnguyen/multimodal-product-reviews-lazada.turkish_product_reviews
Dataset Card for Turkish Product Reviews
Dataset Summary
This Turkish Product Reviews Dataset contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The dataset is based on Turkish.
Dataset Structure
Data Instances
Example 1:
sentence: beklentimin altında bir ürün kaliteli değil
sentiment: 0 (negative)
Example 2:… See the full description on the dataset page: https://huggingface.co/datasets/fthbrmnby/turkish_product_reviews.product-reviews-sentiment
Product Reviews Sentiment
9,000 English customer reviews labeled into 4 operational categories, balanced across classes, ready for training text classifiers.
Built for the common real-world triage task: routing incoming customer feedback to the right team. The four categories map to the four owners most support pipelines route to: product, support, fraud, and operations.
Categories
Category
Rows
What it covers
Product Feedback
2,238
Quality, features… See the full description on the dataset page: https://huggingface.co/datasets/AnkitAI/product-reviews-sentiment.ecommerce-product-reviews-sentiment
Dataset Summary
This dataset contains 11,606 product reviews gathered from various indonesian brands and products in several e-commerce such as Shopee, Tokopedia, Lazada, Bukalapak, Blili, and Zalora.
each row is marked as 1 for positive sentiment and 0 for negative sentiment.
This dataset has been transformed, selecting in a random way a subset of them, applying a cleaning process, and dividing them between the test and train subsets, keeping a balance between the number of… See the full description on the dataset page: https://huggingface.co/datasets/dipawidia/ecommerce-product-reviews-sentiment.fetch_huggingface_terminal_9113_derived_product_reviews
Product Reviews (Derived)
Aggregated and cleaned product review dataset derived from upstream sources.
Dataset ID: DRV-REVIEWS
Catalog: gda9133
Records: 41,000
Derived from: TianfuXinqu/fetch_huggingface_terminal_9113_src_alpha, TianfuXinqu/fetch_huggingface_terminal_9113_src_gamma
Compliance
Upstream sources SRC-ALPHA (MIT) and SRC-GAMMA (Apache-2.0) include no non-commercial license and are not all MIT-licensed, so the default cc-by-4.0 license applies. This… See the full description on the dataset page: https://huggingface.co/datasets/TianfuXinqu/fetch_huggingface_terminal_9113_derived_product_reviews.