infinite-dataset-hub/TopicTrendPrediction

---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# TopicTrendPrediction

tags: Trends, Time Series, Wikipedia Topics

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'TopicTrendPrediction' dataset contains a collection of Wikipedia topics along with their corresponding trend predictions over time. Each entry represents a Wikipedia topic and includes a description of the topic, the predicted trend (e.g., increasing, stable, decreasing), and a time series of the frequency of mentions or citations over a defined period. The labels indicate the expected direction of the trend based on historical data analysis.

**CSV Content Preview:**

```
title,description,trend,label,start_date,end_date,mention_count
"Artificial Intelligence","AI has revolutionized the field of machine learning and robotics.","increasing","AI_trend_upward","2022-01-01","2023-01-01",150
"Renewable Energy","Renewable energy sources like solar and wind are gaining popularity due to environmental concerns.","increasing","Renewable_Energy_trend_upward","2022-01-01","2023-01-01",180
"Virtual Reality","Virtual Reality (VR) is an immersive experience with applications in gaming, education, and therapy.","stable","VR_trend_stable","2022-01-01","2023-01-01",130
"Cryptocurrency","Cryptocurrency markets are volatile with many new digital currencies emerging.","increasing","Crypto_Trend_upward","2022-01-01","2023-01-01",200
"Quantum Computing","Quantum computing promises to solve complex problems beyond the capability of classical computers.","increasing","Quantum_Computing_trend_upward","2022-01-01","2023-01-01",90
```

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'wikipedia topic':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=wikipedia+topic&dataset=TopicTrendPrediction&tags=Trends,+Time+Series,+Wikipedia+Topics
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub

---
许可证：MIT许可证
标签：
- 无限数据集中心（Infinite Dataset Hub）
- 合成数据集（synthetic）
---

# 主题趋势预测（TopicTrendPrediction）

标签：趋势、时间序列、维基百科主题

**注意：本数据集由人工智能生成，其内容可能存在不准确或虚假信息**

**数据集说明：**

"主题趋势预测（TopicTrendPrediction）"数据集收录了一系列维基百科主题及其对应的时序趋势预测结果。每条数据对应一个维基百科主题，包含主题描述、预测趋势（如上升、平稳、下降），以及特定时间段内的提及或引用频次时间序列。标签基于历史数据分析得出，用于指示预期的趋势走向。

**CSV内容预览：**

title,description,trend,label,start_date,end_date,mention_count
"人工智能（Artificial Intelligence）","人工智能已革新了机器学习与机器人技术领域。","上升","AI_trend_upward","2022-01-01","2023-01-01",150
"可再生能源（Renewable Energy）","太阳能、风能等可再生能源因环境问题日益受到关注。","上升","Renewable_Energy_trend_upward","2022-01-01","2023-01-01",180
"虚拟现实（Virtual Reality）","虚拟现实是一种沉浸式体验，可应用于游戏、教育与治疗领域。","平稳","VR_trend_stable","2022-01-01","2023-01-01",130
"加密货币（Cryptocurrency）","加密货币市场波动剧烈，新型数字货币层出不穷。","上升","Crypto_Trend_upward","2022-01-01","2023-01-01",200
"量子计算（Quantum Computing）","量子计算有望解决经典计算机无法处理的复杂问题。","上升","Quantum_Computing_trend_upward","2022-01-01","2023-01-01",90

**数据集来源：**

本数据集通过无限数据集中心（Infinite Dataset Hub）与微软Phi-3-mini-4k-instruct大语言模型（Large Language Model），以"维基百科主题"为查询词生成：
- **数据集生成页面**：https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=wikipedia+topic&dataset=TopicTrendPrediction&tags=Trends,+Time+Series,+Wikipedia+Topics
- **所用模型**：https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **更多数据集**：https://huggingface.co/datasets?other=infinite-dataset-hub