datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
python_enhancement_proposals_filtered
Python Enhancement Proposals
Description
Python Enhancement Proposals, or PEPs, are design documents that generally provide a technical specification and rationale for new features of the Python programming language.
There have been 661 PEPs published.
The majority of PEPs are published in the Public Domain, but 5 were published under the “Open Publication License” and omitted from this dataset.
PEPs are long, highly-polished, and technical in nature and often include… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/python_enhancement_proposals_filtered.python_enhancement_proposals
Python Enhancement Proposals
Description
Python Enhancement Proposals, or PEPs, are design documents that generally provide a technical specification and rationale for new features of the Python programming language.
There are been 661 PEPs published.
The majority of PEPs are published in the Public Domain, but 5 were published under the “Open Publication License” and omitted from this dataset.
PEPs are long, highly-polished, and technical in nature and often include… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/python_enhancement_proposals.eu-funding-proposals-sft
EU Funding Proposals — SFT Dataset
A proposal-writing supervised fine-tuning (SFT) dataset derived from the
CORDIS database of EU-funded research projects.
Unlike a factual Q&A dataset, this dataset trains a model to write proposal sections
in the style of actual funded EU projects.
Format
Conversational ChatML (messages column) compatible with TRL SFTTrainer:
{
"messages": [
{"role": "system", "content": "You are an expert grant writer..."},
{"role":… See the full description on the dataset page: https://huggingface.co/datasets/RCaz/eu-funding-proposals-sft.eu-funding-proposals-dpo
EU Funding Proposals — DPO Preference Dataset
A proposal-writing preference dataset (DPO) derived from the
CORDIS database of EU-funded research projects.
It trains a model to prefer high-quality, funded-style proposal text over degraded
alternatives, refining writing quality after supervised fine-tuning.
Format
Conversational preference format compatible with TRL DPOTrainer:
{
"prompt": [{"role": "user", "content": "Draft the 'Objectives and Scope' section… See the full description on the dataset page: https://huggingface.co/datasets/RCaz/eu-funding-proposals-dpo.