remehostingservices/finance-news-sentiment-35k

Finance News Sentiment 40k 39,965 English financial news headlines, collected from public Telegram finance news-wire channels, labeled for 3-class sentiment (positive / negative / neutral) and a secondary topic label, by two independent LLM judges from different model families with an arbiter settling disputes. A FinBERT model fine-tuned on this data reaches test accuracy 0.847 / macro F1 0.810: remehostingservices/finbert-finance-news-sentiment. Code, training scripts and the… See the full description on the dataset page: https://huggingface.co/datasets/remehostingservices/finance-news-sentiment-35k.