trng28/ViMRHP

A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation.

Python

6

54 commits

updated Aug 25, 2025

See the code

README

ViMRHP: A Vietnamese Benchmark Dataset for
Multimodal Review Helpfulness Prediction via
Human-AI Collaborative Annotation'[NLDB2025]

Hugging Face Dataset arXiv Paper Springer Paper Open in Colab

Dataset Usage Note

This dataset is originally constructed and provided for the Multimodal Review Helpfulness Prediction (MRHP) task. In addition to the main fields designed for MRHP, we have included several additional attributes and metadata to support other potential research tasks.

⚠️ Important Note:
The train / dev / test split is based on the product/review list, and is specifically designed for the MRHP task (ranking). If you intend to use this dataset for other tasks, please reconsider creating a custom data split that aligns better with your specific task requirements.

Task

Given product information and a list of user-generated reviews, the objective is to rank the reviews based on their predicted helpfulness scores.

InputOutput
Product Information & User-generated ReviewsHelpfulness Score (per review)

Example


Example

 {
        "Rating": 5,
        "Region": "VN",
        "ShopId": 740144125,
        "UserId": 1236172816,
        "Comment": "Chất lượng sản phẩm: không thể nào chê vào đâu được nữa ,chất lượngthực sự kkkk",
        "Response": "Dựa trên thông tin văn bản và hình ảnh được cung cấp, phân tích như sau:\n\n### Key aspects\n- Chất lượng sản phẩm rất tốt.\n- Thiết kế sản phẩm hiện đại.\n- Tính năng sử dụng dễ dàng.\n- Độ bền cao.\n\n### Decision-making advice\n- Nên mua sản phẩm này cho những ai cần một thiết bị chất lượng.\n- Phù hợp cho người dùng yêu thích công nghệ.\n- Không nên mua nếu không cần thiết hoặc không sử dụng thường xuyên.\n\n### Image helpfulness\n- **Relevance**: Hình ảnh liên quan đến sản phẩm được mô tả.\n- **Clarity**: Hình ảnh rõ ràng, thể hiện sản phẩm tốt.\n- **Illustrative Value**: Hình ảnh giúp người tiêu dùng hiểu rõ hơn về sản phẩm.\n- **Engagement**: Hình ảnh thu hút người xem.\n\n### Helpfulness_Score\n- **Key aspects**: 5.0\n- **Decision-making advice**: 4.0\n- **Image helpfulness**: 5.0\n\nTính trung bình: (5.0 + 4.0 + 5.0) / 3 = 4.67\n\n**Helpfulness_Score**: 4.67",
        "Anonymous": "Yes",
        "CommentId": 15035263733,
        "ProductId": 25376374972,
        "ScrapedAt": "2024-08-22T19:58:54.015Z",
        "ProductUrl": "https://shopee.vn/Loa-Bluetooth-Ch%E1%BB%AF-G-Led-RGB-REMI-OFFICIAL-S%E1%BA%A1c-Nhanh-Kh%C3%B4ng-D%C3%A2y-%C4%90%C3%A8n-Nh%C3%A1y-Theo-Nh%E1%BA%A1c-Thi%E1%BA%BFt-K%E1%BA%BF-Sang-Tr%E1%BB%8Dng-i.740144125.25376374972?sp_atk=98f8d732-b119-4f00-8ce1-50c336957647&xptdk=98f8d732-b119-4f00-8ce1-50c336957647",
        "UserShopId": 1235759082.0,
        "CommentDate": "2024-04-30T04:56:11.000Z",
        "ProductName": "Loa Bluetooth Chữ G Led RGB,  REMI OFFICIAL Sạc Nhanh Không Dây,Đèn Nháy Theo Nhạc,Thiết Kế Sang Trọng",
        "ProductImage": [
            "https://down-bs-us.img.susercontent.com/vn-11134207-7r98o-lvu9zppbukm195.webp"
        ],
        "CommentImages": [
            "https://down-bs-us.img.susercontent.com/vn-11134103-7r98o-lupxpni2g6qa85.webp",
            "https://down-bs-us.img.susercontent.com/vn-11134103-7r98o-lupxpni2hlaqc7.webp",
            "https://down-bs-us.img.susercontent.com/vn-11134103-7r98o-lupxpni2izv6b2.webp",
            "https://down-bs-us.img.susercontent.com/vn-11134103-7r98o-lupxpni2kefm62.webp",
            "https://down-bs-us.img.susercontent.com/vn-11134103-7r98o-lupxpni2lt0261.webp"
        ],
        "CommentVideos": null,
        "BoughtProducts": "Loa Bluetooth Chữ G Led RGB,  REMI OFFICIAL Sạc Nhanh Không Dây,Đèn Nháy Theo Nhạc,Thiết Kế Sang Trọng, Loa G Đồng Hồ",
        "CommentImagesPath": [
            "ReviewImages/25376374972/15035263733/15035263733_3.jpg",
            "ReviewImages/25376374972/15035263733/15035263733_1.jpg",
            "ReviewImages/25376374972/15035263733/15035263733_4.jpg",
            "ReviewImages/25376374972/15035263733/15035263733_5.jpg",
            "ReviewImages/25376374972/15035263733/15035263733_2.jpg"
        ],
        "ProductImagesPath": [
            "ProductImages/25376374972/25376374972_8.jpg",
            "ProductImages/25376374972/25376374972_7.jpg",
            "ProductImages/25376374972/25376374972_5.jpg",
            "ProductImages/25376374972/25376374972_9.jpg",
            "ProductImages/25376374972/25376374972_2.jpg",
            "ProductImages/25376374972/25376374972_1.jpg",
            "ProductImages/25376374972/25376374972_6.jpg",
            "ProductImages/25376374972/25376374972_3.jpg",
            "ProductImages/25376374972/25376374972_4.jpg"
        ],
        "Helpfulness_Score": 3,
        "DetailRating": "product_quality: 5\nseller_service: 5\ndelivery_service: 5",
        "Id": 134482501,
        "KeyAspects": "2",
        "DecisionMakingAdvice": "3",
        "ImageHelpfulness": "5",
        "SubCategory": "Loa"
    },

Data Field

FieldTypeExplanation
AnonymousstrIndicates whether the user posted the review anonymously
BoughtProductsstrList of products purchased by the user, as mentioned in the review
CommentstrText content of the user’s review
CommentDatestrDate when the user wrote the review
CommentIdintUnique identifier of the review
CommentImageslistList of URLs for images uploaded by the user
CommentImagesPathlistLocal storage path for user-uploaded review images
CommentVideosstrURLs of videos (if any) uploaded with the review
DecisionMakingAdviceintScore reflecting how helpful the review is for purchase decision-making (scale 1–5)
DetailRatingstrDetailed scores for product quality, seller service, and delivery service
Helpfulness_Score (Ground-truth)intFinal score for overall helpfulness (scale 1–5)
IdintId for each data sample
ImageHelpfulnessintScore assessing the usefulness of attached images (scale 1–5)
KeyAspectsintScore evaluating how well the review covers key product aspects (scale 1–5)
ProductIdintUnique identifier of the reviewed product
ProductImagelistList of product image URLs scraped from the e-commerce platform
ProductImagesPathlistLocal storage path of product images
ProductNamestrName of the reviewed product
ProductUrlstrURL of the product’s page on the platform
RatingintOverall rating score provided by the user (scale from 1 to 5)
RegionstrCountry or region where the review was made
ResponsestrAI-generated analysis response for review
ShopIdintUnique identifier of the shop
SubCategorystrSubcategory of the product
UserIdintUnique identifier of the user who wrote the review

Download from Google Drive

CategoryDrive LinkQuick Command
FashionLink!gdown 1EsNnvAGUNJJd_XtthaENLywz2DPtoUIC
ElectronicLink!gdown 1-D29tOyissD9z1qD6Q0eHQIuXFJkK8hp
Health & BeautyLink!gdown 1-IpBJaQyIQawIr8I-xJcSctnUsP_4dhd
Home & LifestyleLink!gdown 1-I5e9iUINj1b8CnRdQn6wi45sObI6W31

Dataset Structure

└── 📁ViMRHP

    └── 📁Fashion
        └── 📁ProductImages
        └── 📁ReviewImages
        └── Fashion-train.json
        └── Fashion-dev.json
        └── Fashion-test.json

    └── 📁Electronic
        └── 📁ProductImages
        └── 📁ReviewImages
        └── Electronic-train.json
        └── Electronic-dev.json
        └── Electronic-test.json

    └── 📁HomeLifestyle
        └── 📁ProductImages
        └── 📁ReviewImages
        └── HomeLifestyle-train.json
        └── HomeLifestyle-dev.json
        └── HomeLifestyle-test.json

    └── 📁HealthBeauty
        └── 📁ProductImages
        └── 📁ReviewImages
        └── HealthBeauty-train.json
        └── HealthBeauty-dev.json
        └── HealthBeauty-test.json

Citation

If you are using the ViMRHP in your work, please cite the following:

@inproceedings{
    author="Nguyen, Truc Mai-Thanh and Nguyen, Dat Minh and Luu, Son T. and Nguyen, Kiet Van",
    title="ViMRHP: A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation",
    booktitle="Natural Language Processing and Information Systems",
    year="2025",
    publisher="Springer Nature Switzerland",
    address="Cham",
    pages="291--305"
}

License

This project is licensed under the MIT License - see the LICENSE file for details.

dataset
e-commerce
low-resource-languages
multimodal
open-source
recommender-systems
review
vietnamese-nlp

trng28/ViMRHP

A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation.

Python

6

54 commits

updated Aug 25, 2025

See the code

README

ViMRHP: A Vietnamese Benchmark Dataset for
Multimodal Review Helpfulness Prediction via
Human-AI Collaborative Annotation'[NLDB2025]

Hugging Face Dataset arXiv Paper Springer Paper Open in Colab

Dataset Usage Note

This dataset is originally constructed and provided for the Multimodal Review Helpfulness Prediction (MRHP) task. In addition to the main fields designed for MRHP, we have included several additional attributes and metadata to support other potential research tasks.

⚠️ Important Note:
The train / dev / test split is based on the product/review list, and is specifically designed for the MRHP task (ranking). If you intend to use this dataset for other tasks, please reconsider creating a custom data split that aligns better with your specific task requirements.

Task

Given product information and a list of user-generated reviews, the objective is to rank the reviews based on their predicted helpfulness scores.

InputOutput
Product Information & User-generated ReviewsHelpfulness Score (per review)

Example


Example

 {
        "Rating": 5,
        "Region": "VN",
        "ShopId": 740144125,
        "UserId": 1236172816,
        "Comment": "Chất lượng sản phẩm: không thể nào chê vào đâu được nữa ,chất lượngthực sự kkkk",
        "Response": "Dựa trên thông tin văn bản và hình ảnh được cung cấp, phân tích như sau:\n\n### Key aspects\n- Chất lượng sản phẩm rất tốt.\n- Thiết kế sản phẩm hiện đại.\n- Tính năng sử dụng dễ dàng.\n- Độ bền cao.\n\n### Decision-making advice\n- Nên mua sản phẩm này cho những ai cần một thiết bị chất lượng.\n- Phù hợp cho người dùng yêu thích công nghệ.\n- Không nên mua nếu không cần thiết hoặc không sử dụng thường xuyên.\n\n### Image helpfulness\n- **Relevance**: Hình ảnh liên quan đến sản phẩm được mô tả.\n- **Clarity**: Hình ảnh rõ ràng, thể hiện sản phẩm tốt.\n- **Illustrative Value**: Hình ảnh giúp người tiêu dùng hiểu rõ hơn về sản phẩm.\n- **Engagement**: Hình ảnh thu hút người xem.\n\n### Helpfulness_Score\n- **Key aspects**: 5.0\n- **Decision-making advice**: 4.0\n- **Image helpfulness**: 5.0\n\nTính trung bình: (5.0 + 4.0 + 5.0) / 3 = 4.67\n\n**Helpfulness_Score**: 4.67",
        "Anonymous": "Yes",
        "CommentId": 15035263733,
        "ProductId": 25376374972,
        "ScrapedAt": "2024-08-22T19:58:54.015Z",
        "ProductUrl": "https://shopee.vn/Loa-Bluetooth-Ch%E1%BB%AF-G-Led-RGB-REMI-OFFICIAL-S%E1%BA%A1c-Nhanh-Kh%C3%B4ng-D%C3%A2y-%C4%90%C3%A8n-Nh%C3%A1y-Theo-Nh%E1%BA%A1c-Thi%E1%BA%BFt-K%E1%BA%BF-Sang-Tr%E1%BB%8Dng-i.740144125.25376374972?sp_atk=98f8d732-b119-4f00-8ce1-50c336957647&xptdk=98f8d732-b119-4f00-8ce1-50c336957647",
        "UserShopId": 1235759082.0,
        "CommentDate": "2024-04-30T04:56:11.000Z",
        "ProductName": "Loa Bluetooth Chữ G Led RGB,  REMI OFFICIAL Sạc Nhanh Không Dây,Đèn Nháy Theo Nhạc,Thiết Kế Sang Trọng",
        "ProductImage": [
            "https://down-bs-us.img.susercontent.com/vn-11134207-7r98o-lvu9zppbukm195.webp"
        ],
        "CommentImages": [
            "https://down-bs-us.img.susercontent.com/vn-11134103-7r98o-lupxpni2g6qa85.webp",
            "https://down-bs-us.img.susercontent.com/vn-11134103-7r98o-lupxpni2hlaqc7.webp",
            "https://down-bs-us.img.susercontent.com/vn-11134103-7r98o-lupxpni2izv6b2.webp",
            "https://down-bs-us.img.susercontent.com/vn-11134103-7r98o-lupxpni2kefm62.webp",
            "https://down-bs-us.img.susercontent.com/vn-11134103-7r98o-lupxpni2lt0261.webp"
        ],
        "CommentVideos": null,
        "BoughtProducts": "Loa Bluetooth Chữ G Led RGB,  REMI OFFICIAL Sạc Nhanh Không Dây,Đèn Nháy Theo Nhạc,Thiết Kế Sang Trọng, Loa G Đồng Hồ",
        "CommentImagesPath": [
            "ReviewImages/25376374972/15035263733/15035263733_3.jpg",
            "ReviewImages/25376374972/15035263733/15035263733_1.jpg",
            "ReviewImages/25376374972/15035263733/15035263733_4.jpg",
            "ReviewImages/25376374972/15035263733/15035263733_5.jpg",
            "ReviewImages/25376374972/15035263733/15035263733_2.jpg"
        ],
        "ProductImagesPath": [
            "ProductImages/25376374972/25376374972_8.jpg",
            "ProductImages/25376374972/25376374972_7.jpg",
            "ProductImages/25376374972/25376374972_5.jpg",
            "ProductImages/25376374972/25376374972_9.jpg",
            "ProductImages/25376374972/25376374972_2.jpg",
            "ProductImages/25376374972/25376374972_1.jpg",
            "ProductImages/25376374972/25376374972_6.jpg",
            "ProductImages/25376374972/25376374972_3.jpg",
            "ProductImages/25376374972/25376374972_4.jpg"
        ],
        "Helpfulness_Score": 3,
        "DetailRating": "product_quality: 5\nseller_service: 5\ndelivery_service: 5",
        "Id": 134482501,
        "KeyAspects": "2",
        "DecisionMakingAdvice": "3",
        "ImageHelpfulness": "5",
        "SubCategory": "Loa"
    },

Data Field

FieldTypeExplanation
AnonymousstrIndicates whether the user posted the review anonymously
BoughtProductsstrList of products purchased by the user, as mentioned in the review
CommentstrText content of the user’s review
CommentDatestrDate when the user wrote the review
CommentIdintUnique identifier of the review
CommentImageslistList of URLs for images uploaded by the user
CommentImagesPathlistLocal storage path for user-uploaded review images
CommentVideosstrURLs of videos (if any) uploaded with the review
DecisionMakingAdviceintScore reflecting how helpful the review is for purchase decision-making (scale 1–5)
DetailRatingstrDetailed scores for product quality, seller service, and delivery service
Helpfulness_Score (Ground-truth)intFinal score for overall helpfulness (scale 1–5)
IdintId for each data sample
ImageHelpfulnessintScore assessing the usefulness of attached images (scale 1–5)
KeyAspectsintScore evaluating how well the review covers key product aspects (scale 1–5)
ProductIdintUnique identifier of the reviewed product
ProductImagelistList of product image URLs scraped from the e-commerce platform
ProductImagesPathlistLocal storage path of product images
ProductNamestrName of the reviewed product
ProductUrlstrURL of the product’s page on the platform
RatingintOverall rating score provided by the user (scale from 1 to 5)
RegionstrCountry or region where the review was made
ResponsestrAI-generated analysis response for review
ShopIdintUnique identifier of the shop
SubCategorystrSubcategory of the product
UserIdintUnique identifier of the user who wrote the review

Download from Google Drive

CategoryDrive LinkQuick Command
FashionLink!gdown 1EsNnvAGUNJJd_XtthaENLywz2DPtoUIC
ElectronicLink!gdown 1-D29tOyissD9z1qD6Q0eHQIuXFJkK8hp
Health & BeautyLink!gdown 1-IpBJaQyIQawIr8I-xJcSctnUsP_4dhd
Home & LifestyleLink!gdown 1-I5e9iUINj1b8CnRdQn6wi45sObI6W31

Dataset Structure

└── 📁ViMRHP

    └── 📁Fashion
        └── 📁ProductImages
        └── 📁ReviewImages
        └── Fashion-train.json
        └── Fashion-dev.json
        └── Fashion-test.json

    └── 📁Electronic
        └── 📁ProductImages
        └── 📁ReviewImages
        └── Electronic-train.json
        └── Electronic-dev.json
        └── Electronic-test.json

    └── 📁HomeLifestyle
        └── 📁ProductImages
        └── 📁ReviewImages
        └── HomeLifestyle-train.json
        └── HomeLifestyle-dev.json
        └── HomeLifestyle-test.json

    └── 📁HealthBeauty
        └── 📁ProductImages
        └── 📁ReviewImages
        └── HealthBeauty-train.json
        └── HealthBeauty-dev.json
        └── HealthBeauty-test.json

Citation

If you are using the ViMRHP in your work, please cite the following:

@inproceedings{
    author="Nguyen, Truc Mai-Thanh and Nguyen, Dat Minh and Luu, Son T. and Nguyen, Kiet Van",
    title="ViMRHP: A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation",
    booktitle="Natural Language Processing and Information Systems",
    year="2025",
    publisher="Springer Nature Switzerland",
    address="Cham",
    pages="291--305"
}

License

This project is licensed under the MIT License - see the LICENSE file for details.

dataset
e-commerce
low-resource-languages
multimodal
open-source
recommender-systems
review
vietnamese-nlp