YAML Metadata Warning: The task_categories "recommendation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Web3 News Recommendation Dataset

A comprehensive dataset for building news recommendation systems in the Web3/cryptocurrency domain.

Dataset Description

This dataset contains user interaction data from a Web3 news platform, including:

Articles: News articles about cryptocurrency, blockchain, DeFi, etc.
User Interactions: Likes, collects (bookmarks), comments
User Profiles: Anonymized user information

Languages

Chinese (Simplified): cn
English: en
Chinese (Traditional): tn

Dataset Structure

Files

File	Description	Records
`cms_article.parquet`	Article metadata (title, synopsis, category, etc.)	~725K
`cms_article_like.parquet`	User like interactions	-
`cms_article_collect.parquet`	User bookmark interactions	-
`cms_article_comment.parquet`	User comments	-
`cms_article_statistics.parquet`	Article engagement statistics	-
`cms_article_author_follow.parquet`	Author follow relationships	-
`cms_currency.parquet`	Cryptocurrency dictionary	-
`ums_member.parquet`	Anonymized user profiles	-

Key Fields

Articles (`cms_article.parquet`)

id: Article ID
title: Article title
synopsis: Article summary
category_id: Category ID
language: Language code (cn/en/tn)
create_by: Author user ID
create_time: Publication timestamp
audit_status: 1 = approved
data_status: 1 = active

User Interactions

article_id: Referenced article ID
create_by: User ID who performed the action
status: 1 = active, 0 = cancelled
create_time: Interaction timestamp

Usage

from datasets import load_dataset

# Load the full dataset
dataset = load_dataset("your-username/web3-news-recommendation")

# Or load specific files
import pandas as pd
articles = pd.read_parquet("hf://datasets/your-username/web3-news-recommendation/cms_article.parquet")
likes = pd.read_parquet("hf://datasets/your-username/web3-news-recommendation/cms_article_like.parquet")

Data Processing Notes

Privacy: User phone numbers have been hashed for anonymization
Content: Article full content (content field) is excluded to reduce file size
Format: All files are in Parquet format with Snappy compression

Citation

If you use this dataset, please cite:

@dataset{web3_news_recommendation,
  title={Web3 News Recommendation Dataset},
  year={2025},
  url={https://huggingface.co/datasets/your-username/web3-news-recommendation}
}

License

This dataset is released under CC BY-NC 4.0.

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