fintech
Datasets
All datasets matching “fintech”builders-in-fintech
Builders in Fintech — Fintech Funding Rounds, Companies and Investors
An editorially curated, sourced dataset of fintech funding rounds worldwide, with the companies that raised and the investors that took part. It is the public export of the database behind Builders in Fintech, a fintech news publication, weekly newsletter and podcast run by Michele Mattei.
As of 29 September 2026 it holds 2,164 approved equity rounds across 16 currencies and 56 countries, plus debt facilities… See the full description on the dataset page: https://huggingface.co/datasets/buildersinfintech/builders-in-fintech.fintech-support-triage
Fintech Support Triage
A multi-turn customer-support dataset with a reward you can compute in code. There is
no LLM judge in the loop.
The setting is Zoomberg Brokerage, a fictional US retail brokerage. At each agent turn
the model writes the reply to the customer and a structured triage action: route or
escalate, which queue, what priority, which flags to raise, and which policies it relied on.
Every action is checked against a written 63-policy pack.
Split
Episodes… See the full description on the dataset page: https://huggingface.co/datasets/KartiOS/fintech-support-triage.omnimcp_fintech_trading_village_teaser
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Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_fintech_trading_village_teaser.morena-tools-nigerian-fintech
MORENA tools: Nigerian fintech tool calling
21,407 synthetic records for teaching a small model to turn Pidgin, Yoruba, Igbo, Hausa and English
into API calls, and to correct them in conversation.
Generated with Gemma 3 27B on Cloudflare Workers AI. Code:
thisisisheanesu/morena-tools.
What makes it different
Every record has its own tool menu. 24,000 distinct menus across five naming conventions
(paystack, verbnoun, camel, dotted, terse) with an argument-synonym… See the full description on the dataset page: https://huggingface.co/datasets/thisisisheanesu/morena-tools-nigerian-fintech.fintech-ai-annotationsnexapay-fintech-db
