datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fiqa-personal-finance-datasetPersonal-Finance-Datapersonalfinance-gpt-oss-120b
personalfinance-gpt-oss-120b
Deep research agent evaluation on data/drtulu_personalfinance.jsonl (normal split).
Results
Metric
Value
pass@4
0.0%
avg@4
0.0%
Trajectory accuracy
0.0% (0/18772)
Questions
4693
Trajectories
18772 (4 per question)
Avg tool calls
15.7
Full conversations
✅
Model & Setup
Model
gpt-oss-120b
Judge
gpt-4o
Max tool calls
50
Temperature
0.7
Blocked domains
None
Tool Usage… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/personalfinance-gpt-oss-120b.adaption-personal-finance-advice-dialogues
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-personal_finance_advice_dialogues
This dataset contains multi-turn conversational samples between users and an AI assistant focused on personal finance topics such as budgeting, investing, insurance, and taxes. Each entry follows a pattern where a user presents an initial scenario, provides an update with new constraints or events, and receives tailored financial advice that adapts… See the full description on the dataset page: https://huggingface.co/datasets/Azfarhashmi/adaption-personal-finance-advice-dialogues.personal-finance-ml-dataset
Personal Finance Dataset – Data Cleaning & EDA
Overview
This project focuses on performing data cleaning, exploratory data analysis (EDA), and outlier detection on a synthetic personal finance dataset from Kaggle.The goal is to understand the dataset, detect patterns, identify anomalies, and prepare the data for further modeling or analysis.
Dataset Description
The dataset contains personal finance information.
Source: Kaggle Personal Finance ML Dataset… See the full description on the dataset page: https://huggingface.co/datasets/asafmak/personal-finance-ml-dataset.personal-finance-ml-dataset
Personal Finance Dataset – Data Cleaning & EDA
Overview
This project focuses on performing data cleaning, exploratory data analysis (EDA), and outlier detection on a synthetic personal finance dataset from Kaggle.The goal is to understand the dataset, detect patterns, identify anomalies, and prepare the data for further modeling or analysis.
Dataset Description
The dataset contains personal finance information.
Source: Kaggle Personal Finance ML… See the full description on the dataset page: https://huggingface.co/datasets/iqramulya/personal-finance-ml-dataset.