FranckyMoney Dataset

The FranckyMoney dataset is a small, tabular-style dataset converted to JSONL format for language model fine-tuning.
It contains personal and financial features alongside a target label: entrepreneurialReadiness (1–10).

Dataset Details

  • Rows: 66 (after cleaning)
  • Format: JSONL (train.jsonl, validation.jsonl, test.jsonl)
  • Schema:
Column Type Description
id int Row identifier
age int Age of the individual
dependents int Number of dependents
monthlyIncome float Monthly income
monthlyBills float Monthly recurring bills
monthlyEntertainment float Entertainment spending per month
savingAmount float Current savings
assets float Asset value
salesSkills int Self-rated sales skills (1–10)
riskLevel int Self-rated risk tolerance (1–10)
confidence int Self-rated confidence (1–10)
businessDifficulty int Self-rated difficulty of starting business
entrepreneurialReadiness int Target variable (1–10)

Example Record

{
  "id": 1,
  "age": 23,
  "dependents": 1,
  "monthlyIncome": 3000,
  "monthlyBills": 2000,
  "monthlyEntertainment": 300,
  "savingAmount": 1000,
  "assets": 1500,
  "salesSkills": 4,
  "riskLevel": 5,
  "confidence": 7,
  "businessDifficulty": 2,
  "entrepreneurialReadiness": 7
}

How It Was Used

This dataset was used to fine-tune FranckyMoneyTinyLlama, a TinyLlama model that predicts entrepreneurial readiness from structured profiles.

Splits

  • train.jsonl β†’ 80% of rows
  • validation.jsonl β†’ 10% of rows
  • test.jsonl β†’ 10% of rows

Intended Use

  • Educational demonstrations of tabular-to-text fine-tuning
  • Testing lightweight LoRA adapters on small datasets
  • Not intended for real-world financial or business predictions

Limitations

  • Very small dataset (66 rows) β†’ limited generalization
  • Labels are subjective and may not represent real entrepreneurial capacity
  • Should not be used for any production or decision-making system

Citation

If you use this dataset, please cite:

@misc{nellaep2025franckymoneydataset,
  title={FranckyMoney Dataset},
  author={nellaep},
  year={2025},
  howpublished={\url{https://huggingface.co/datasets/nellaep/FranckyMoney}}
}

License

MIT

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Dataset used to train nellaep/FranckyMoneyTinyLlama