datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tanpo-fundraising-sft
Tanpo Fundraising SFT (10k)
Ownership
Owner: DarkNinja Solutions
Creator: d4rkninja
Community: DarkLab
Domain
Fundraising and investor relations: narrative, decks, metrics, round strategy, diligence, and capital allocation.
Dataset summary
Field
Value
Rows
10000
Schema
Chat SFT (messages with system / user / assistant)
Source file
tanpo-fundraising-sft-10k-format-fixed.jsonl
Audit verdict
PASS
Empty assistant rate… See the full description on the dataset page: https://huggingface.co/datasets/d4rkninja/tanpo-fundraising-sft.fundraising-english-sft
Fundraising English SFT
10,615 conversational SFT examples (OpenAI messages format) covering nonprofit
fundraising: principles, frameworks, how-to guides, scenarios, strategy, common
mistakes. Distilled from reference texts of the sector (Effective Fundraising,
Atomic Habits, Philanthropy Revolution, Integrated Marketing Communications,
Achieving Excellence in Fundraising, Infectious Generosity, and more).
Train: 10,085
Validation: 530
Language: English
Format: {"messages":… See the full description on the dataset page: https://huggingface.co/datasets/Mic-Fundraiser/fundraising-english-sft.sec-form-d-private-fundraising
SEC Form D Private Fundraising Filings — Research Snapshot
This release contains 639 normalized SEC Form D and Form D/A filings from the exact filing-date slices below. Form D notices are public filings associated with Regulation D offerings and provide structured information on offering amounts, proceeds sold, issuer characteristics, and security type. This is a research dataset, not an investment recommendation, and a Form D filing does not establish issuer quality or… See the full description on the dataset page: https://huggingface.co/datasets/FutureFocusAgent/sec-form-d-private-fundraising.fundraising-italian-sft
Fundraising Italian SFT
Dataset di conversazioni in italiano su fundraising e raccolta fondi per il non profit.
Formato OpenAI messages (system/user/assistant) per SFT.
Uso
from datasets import load_dataset
ds = load_dataset("Mic-Fundraiser/fundraising-italian-sft")