Dataset · Hugging Face

mteb/FinancialPhrasebankClassification

Name: FinancialPhrasebankClassification
Creator: mteb
License: cc-by-nc-sa-3.0
Keywords: task_categories:text-classification, task_ids:sentiment-analysis, task_ids:sentiment-scoring, task_ids:sentiment-classification, task_ids:hate-speech-detection, annotations_creators:expert-annotated, multilinguality:monolingual, language:eng, license:cc-by-nc-sa-3.0, size_categories:1K<n<10K, format:parquet, modality:text, library:datasets, library:pandas, library:polars

FinancialPhrasebankClassification An MTEB dataset Massive Text Embedding Benchmark Polar sentiment dataset of sentences from financial news, categorized by sentiment into positive, negative, or neutral. Task category t2c Domains News, Written, Financial Reference https://arxiv.org/abs/1307.5336 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/FinancialPhrasebankClassification.

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Author / organization	mteb
License (as declared)	cc-by-nc-sa-3.0
Downloads	1.3K (as reported by Hugging Face)
Likes	0
Created	6 May 2025
Last updated at source	24 February 2026

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