datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Personal-Finance-DataPersonalFinance-CoTR-5K
PersonalFinance-CoTR Dataset (v0.1.0)
[Dataset is Under Active Development]
Note This dataset is being iteratively developed. At the current stage of the dataset, V0.1.0 would be a dataset of ~5k datapoints, that are different user-responses.
Overview
A growing dataset of Chain-of-Thought Responses to personal finance queries asked by users on r/PersonalFinance subreddit.
Status: Early development (10 samples → expanding to 54k)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Akhil-Theerthala/PersonalFinance-CoTR-5K.personal-finance-advice-qa
Personal Finance Advice QA
Real personal-finance questions with concise, actionable answers. Built for the
Adaption Labs AutoScientist Challenge (Personal Finance category).
Rows
3,805
Distinct answers
3,805 (100%)
Duplicate questions
none
Nulls
none
Question length
median 70 words
Answer length
median 77 words (max 95)
Licence
MIT
Category coverage
Questions come from r/personalfinance and r/FinancialPlanning, so they are real… See the full description on the dataset page: https://huggingface.co/datasets/flamiinngo/personal-finance-advice-qa.Personal_FinanceDatasetpersonal-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.personal-finance-dataPersonalFinanceAndCreditRiskClassification