GPT-4o System Card
Paper • 2410.21276 • Published • 87
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NeuraSynth: Neural Summarization and Question Answering
📑 Paper | 🌐 Project Page | 💾 Released Resources | 📦 Repo
This is the processed NeuraSynth-SumQA dataset for training summarization and QA models.
Dataset
| Dataset | Link |
|---|---|
| NeuraSynth-SumQA | 🤗 |
Please also check the raw data: toolevalxm/NeuraSynth-SumQA-Raw.
Models
| Base Model | SumQA Fine-tuned |
|---|---|
| Mistral 7B | 🤗 |
| Phi-3 Mini | 🤗 |
Introduction
Our approach leverages GPT-4o to generate high-quality question-answer pairs from summarized content. The synthesis pipeline ensures factual consistency while maintaining diverse question types.
*Due to data sharing agreements, we only release this processed subset of the full NeuraSynth training corpus.
Citation
When using this dataset, please cite: OpenAI, 2024, "GPT-4o System Card", arXiv:2410.21276.
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