Soybean Market News Dataset

This dataset encompasses a comprehensive collection of soybean market news articles, meticulously curated and labeled for relevance. Collected from the prominent Brazilian website "noticiasagricola.com.br" from January 2015 to June 2023, the dataset features a diverse range of content, including international, national, and regional perspectives.

Features:
Data Attributes: Date, headline, content, label, and embeddings from three pre-trained BERT models (Paraphrase Multilingual, Distilbert Multilingual, and BERTimbau).
Labeling: News articles are labeled as either relevant or irrelevant, providing a binary classification for ease of analysis.
Coverage: The dataset spans various aspects of the soybean market, offering insights into climate conditions, research findings, consulting information, technological advancements, diseases and pests, and logistics.
Language: Portuguese

Potential Applications:
Natural Language Processing (NLP) tasks;
Machine Learning Task(ML);
Multimodal Predictions.

Benefits:
Diverse sources (544 international, national, and regional providers);
Enriched with embeddings for advanced NLP applications
Covers a wide range of soybean market aspects

Usage: Researchers and practitioners in the fields of agriculture, economics, and data science can leverage this dataset for in-depth analyses, model development, and trend exploration within the soybean market.