datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
amazon_product_reviews_video_games#Title
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.amazon_product_reviews_datafiniti
Dataset Card for "amazon_product_reviews_datafiniti"
More Information needed
turkish_product_reviews_sentiment
Dataset Card for Dataset Name
This dataset was obtained via https://www.kaggle.com/datasets/bulentsiyah/hepsi-burada-yorum
tokopedia-product-reviews-2019
Tokopedia Product Reviews 2019
Dataset Description
This dataset contains 40,607 product reviews from Tokopedia, one of Indonesia's largest e-commerce platforms, scraped in 2019. The dataset provides valuable insights into customer sentiment and shopping behavior in the Indonesian e-commerce market.
Dataset Summary
Language: Indonesian (Bahasa Indonesia)
Task: Sentiment Analysis, Product Review Analysis, E-commerce Research
Size: 40,607 reviews
Categories: 5… See the full description on the dataset page: https://huggingface.co/datasets/farhamu/tokopedia-product-reviews-2019.product_reviews_5_instructiongithub_fetch_huggingface_terminal_9091_n3v8x2_derived_product_reviews
Product Reviews (Derived)
Aggregated and cleaned product review dataset derived from upstream sources.
Dataset ID: DRV-REVIEWS
Catalog: ghfht9091n3v8x2
Derived from: SRC-ALPHA, SRC-GAMMA
Records: 41,000
cs_mall-product-reviews
Dataset Card for Mall.cz Product Reviews (Czech)
Dataset Description
The dataset contains user reviews from Czech eshop <mall.cz>
Each review contains text, sentiment (positive/negative/neutral), and automatically-detected language (mostly Czech, occasionaly Slovak) using lingua-py
The dataset has in total (train+validation+test) 30,000 reviews. The data is balanced.
Train set has 8000 positive, 8000 neutral and 8000 negative reviews.
Validation and test set each have… See the full description on the dataset page: https://huggingface.co/datasets/fewshot-goes-multilingual/cs_mall-product-reviews.productreviewsentimentshopee-product-reviews-on-computer-categoryproduct_reviews_1_instructionTurkish-Product-Reviews
Dataset Card for Turkish Product Reviews
Dataset Description
Turkish-Product-Reviews dataset is obtained by creating the creating train, validation and test splits from the original Turkish Product Reviews dataset, released by Fatih Barmanbay.
Dataset Structure
The original dataset only had train split. We applied the following splitting methodology to obtain validation and test splits:
If a train-val-test split is available, we use the existing divisions as… See the full description on the dataset page: https://huggingface.co/datasets/boun-tabilab/Turkish-Product-Reviews.github_fetch_huggingface_terminal_9046_nxauzm_upstream_product_reviews
Product Reviews Corpus (2025)
Product review texts collected from the company's e-commerce platform during 2025. Each record contains review text, star rating, and product category.
Dataset ID: SRC-REVIEWS
Catalog: ghfht91212cvkqk
Type: Source
Records: 48,210
License: CC-BY-NC-4.0
Product_reviews_click_stream_Dataaproduct_reviews_no_instructionproduct-reviews
Dataset Card for Product Reviews
Customer reviews of Amazon products, categorised by the number of stars assigned to each product. The dataset consists of several thousand reviews in English, German, and French.
Licensing information
This datasets is based on the amazon_reviews_multi dataset.
indonesian-product-reviews
Ulasan Produk Indonesia 🛒
Kumpulan 158 ulasan produk bahasa Indonesia — gaya orang biasa nulis review beneran: santai, detail, kadang emoji. 7 kategori produk, rating 1-5, sentiment berlabel.
Kenapa dataset ini ada?
Sentiment analysis e-commerce Indonesia butuh data ulasan yang realistis — bukan teks formal. Dataset ulasan produk Indonesia di HF belum ada (turkish_product_reviews 291 dl — bukti permintaan). Ini yang pertama: ulasan natural dengan slang & grammar… See the full description on the dataset page: https://huggingface.co/datasets/LorthGyu/indonesian-product-reviews.productreviewsentimentv2product-reviews-turkish
📝 Turkish Product Reviews Sentiment Dataset
Dataset Summary
This dataset consists of Turkish-language product review comments and their associated sentiment labels. The data is sourced from Trendyol.com, and all rights to the original content belong to them. It is provided strictly for educational and research purposes. Each entry includes a user-generated comment paired with a sentiment label, currently limited to the positive class. The dataset is designed for tasks… See the full description on the dataset page: https://huggingface.co/datasets/tolgadev/product-reviews-turkish.product-reviewscoherent_product_reviewssynthetic-product-reviews
Synthetic Product Reviews
A high-quality synthetic dataset of 10,000 product reviews across 5 categories.
Dataset Summary
Each review was generated by combining realistic review templates with randomly selected products, features, and sentiment-appropriate phrases. The dataset is fully artificial and contains no real user information.
Supported Tasks and Leaderboards
Sentiment Analysis: Classify sentiment (positive, neutral, negative)
Rating… See the full description on the dataset page: https://huggingface.co/datasets/KhiredNetworks/synthetic-product-reviews.polish_product_reviewsThis dataset comprises Polish-language product reviews extracted from an online electronics vendor’s website. It contains user-generated reviews covering a wide range of consumer electronics.
Reviews containing promotional content and not matching the star rating were removed.
product-review-sentiment-40
Dataset Card : Product Review Sentiment Dataset
Dataset Description
Compact dataset of 40 short product reviews labeled with sentiment: positive, neutral, or negative.
Suitable for sentiment classification, few-shot training, and model demos.
Uses
This dataset is useful for researchers, developers, and educators seeking:
Few-shot or zero-shot classification demos
Sentiment classification training for small models
LLM fine-tuning or evaluation tasks… See the full description on the dataset page: https://huggingface.co/datasets/elvanalabs/product-review-sentiment-40.synthetic-product-reviews-20kResulting dataset for docs example guide: Generating Representative Synthetic Data with LLMs - Zero to Hero
.
synthetic-product-reviews
Synthetic Product Reviews for Sentiment Analysis (v1.0)
Dataset Description
Synthetic Product Reviews for Sentiment Analysis is a comprehensive dataset containing 1,000 synthetic product reviews designed for training and evaluating multi-task sentiment analysis models. The dataset includes both overall sentiment labels and detailed aspect-level sentiment scores across 18 canonical product attributes.
Key Features
1,000 synthetic product reviews covering 4… See the full description on the dataset page: https://huggingface.co/datasets/Kenshiii/synthetic-product-reviews.amazon-product-reviews
Amazon Product Reviews Dataset
This dataset contains Amazon product reviews scraped using the ScrapingDog API. It includes:
User Information (Name, ID)
Review Details (Title, URL, Rating, Date, Category)
Helpfulness Metrics
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/havvagulsener/turkish_product_reviews.