datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
adaption-behavioral-finance-fintech
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-behavioral_finance_fintech
This instruction-response dataset covers behavioral finance dynamics within mobile money and digital banking platforms. It features user scenarios and analytical queries examining psychological biases, interface nudges, framing effects, and automated fintech features. The completions provide evidence-based explanations connecting economic theory to digital… See the full description on the dataset page: https://huggingface.co/datasets/smainye/adaption-behavioral-finance-fintech.greyforge-fintech-tool-fixture-library-v1
GreyForge Fintech Tool Fixture Library v1
Fixture library for harness development; not a reliability benchmark or
ChangeGuard diagnostic.
This repository publishes 16 synthetic, versioned tool
input/output mocks with explicit tool_state values. Use them to exercise
agent tool adapters and harness plumbing. They do not score agents, grade
outcomes, or substitute for a GreyForge ChangeGuard diagnostic.
Synthetic data — All request shapes and response bodies are fabricated
harness… See the full description on the dataset page: https://huggingface.co/datasets/GreyForge/greyforge-fintech-tool-fixture-library-v1.fintech-disputes-premium-sampler-v1.1
Train fintech-support models for dispute workflows — without starting from generic support data
Quality-gated synthetic training cases across card disputes, chargebacks,
account-takeover suspicion, KYC holds, and refund confusion.
Inspect 50 cases free before buying Standard or Premium.
Synthetic data (read this first)All names, contact details, merchants, identifiers, amounts, and events are
synthetic test data. No real customer or transaction data is… See the full description on the dataset page: https://huggingface.co/datasets/GreyForge/fintech-disputes-premium-sampler-v1.1.iso25010-fintech-missing
ISO/IEC 25010 Fintech Software Quality Dataset (Missing Criteria)
Overview
This dataset provides gold-standard annotations for software quality evaluation
aligned with ISO/IEC 25010. Each code sample is annotated with:
Present quality criteria
Missing (expected but absent) quality criteria
The dataset is designed to train and evaluate LLM-based software quality evaluators
capable of detecting both quality violations and quality completeness gaps.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/okayjosh/iso25010-fintech-missing.adaption-nigeria-crypto-fintech-verdicts
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-nigeria_crypto_fintech_verdicts
This dataset contains prompt-completion pairs analyzing Nigerian economic scenarios across fintech, crypto, energy, and transport sectors as of 2024. Each entry evaluates specific evidence regarding regulatory constraints, inflation, and infrastructure failures to determine market materiality. The completions provide actionable 'street verdicts' with… See the full description on the dataset page: https://huggingface.co/datasets/MEMECRYPTO/adaption-nigeria-crypto-fintech-verdicts.FinSynth_data
FinSynth_data
本数据集有三个，分别解决三个领域的问题：
客户服务聊天机器人：生成可以有效理解和回应广泛客户询问的训练数据。
欺诈检测：从交易数据中提取模式和异常，以训练可以识别和预防欺诈行为的模型。
合规监控：总结法规和合规文件，以帮助模型确保遵守金融法规。
微调大模型参考
Fintech-Dreamer/FinSynth_model_chatbot · Hugging Face
Fintech-Dreamer/FinSynth_model_fraud · Hugging Face
Fintech-Dreamer/FinSynth_model_compliance · Hugging Face
前端框架参考
Fintech-Dreamer/FinSynth
数据处理方式参考
Fintech-Dreamer/FinSynth-Data-Processing
greyforge-fintech-reliability-public-sampler-v1
GreyForge Fintech Reliability Public Sampler v1
Public schema/demo cases only — not a production benchmark, compliance certification, or calibration set.
This repository publishes 18 synthetic, policy-grounded demo cases in the
reliability_record_v1 schema. They illustrate a ChangeGuard-shaped agent
reliability problem (tool states, unsafe commitments, escalation, adversarial
pressure) without shipping the commercial locked inventory, calibration set, or
scoring logic required… See the full description on the dataset page: https://huggingface.co/datasets/GreyForge/greyforge-fintech-reliability-public-sampler-v1.JiRack-FinTech-Mix-for-Summarization_16k-Datasetfintech-sec-sentiment-sampleSEC 8-K financial sentiment & metrics (sample)
This is a free sample containing 10 records from our premium SEC 8-K financial dataset. It contains AI-parsed analytics (sentiment, key metrics, forward-looking statements) extracted from the top S&P 500 companies, including Exhibit 99.1 press releases.
Get the Full Dataset
If you are building algorithmic trading bots or fine-tuning financial LLMs, you can purchase the complete, continually updated database here:
👉 Get the Full Dataset on Gumroad… See the full description on the dataset page: https://huggingface.co/datasets/deniks315/fintech-sec-sentiment-sample.hacktx-fintechbotfintech-synthetic-datasetfintechspecter-vc-fintech_focusfintech_mobile_application_assistant_q