Sign inGet started
Dataset · Hugging Face

mteb/banking77

Banking77Classification An MTEB dataset Massive Text Embedding Benchmark Dataset composed of online banking queries annotated with their corresponding intents. Task category t2c Domains Written Reference https://arxiv.org/abs/2003.04807 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["Banking77Classification"]) evaluator = mteb.MTEB(task) model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/banking77.

Author / organizationmteb
License (as declared)mit
Downloads35.7K (as reported by Hugging Face)
Likes21
Created17 May 2022
Last updated at source6 July 2025
mtebtext
Embed this entry
<iframe src="https://silytics.si/embed/item/65c04ccd-ed92-4a47-afa1-6630ed5a7088" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from mteb

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 14 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.