Datasets / financial-phrasebank
Financial PhraseBank
A human-annotated sentiment dataset of 4,840 English sentences from financial news, labelled positive, negative, or neutral from an investor's perspective.
- sentiment-analysis
- financial-news
- classification
- annotated
- benchmark
added 2026-08-15 · CC-BY-NC-SA-3.0 · external

Prerequisites
Details
| authors | Pekka Malo, Ankur Sinha, Pyry Takala, Pekka Korhonen, Jyrki Wallenius |
|---|---|
| origin | external |
| license | CC-BY-NC-SA-3.0 |
| access | open |
| source | English-language financial news |
| coverage | assets: 4,840 annotated sentences |
| size | 4,840 sentences in four agreement-level configurations |
| markets | equities |
The standard small-scale benchmark for financial sentiment classification, originating from Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts (JASIST 2014, arXiv:1307.5336). Sentences were annotated by multiple people and the dataset ships in four configurations by inter-annotator agreement: ≥50% (4,846 instances), ≥66% (4,217), ≥75% (3,453), and unanimous (2,264).
Widely used to fine-tune and evaluate financial LLMs. Note the non-commercial share-alike license, and that the Hugging Face dataset viewer does not render it (the repo uses a loading script).