alfalfa-w/self-conditioning-deep-reasoning-data
Self-conditioning deep reasoning datasets Paper: Self-Conditioning Enables Deep Sequential Reasoning in Flow MatchingCode: https://github.com/imzzy1201/self-conditioning-deep-reasoning This repository hosts the original synthetic image pairs and locally derived metadata used by the main experiments in Self-Conditioning Enables Deep Sequential Reasoning in Flow Matching. The datasets preserve their original image payloads, metadata bytes, and sample ordering. Directory… See the full description on the dataset page: https://huggingface.co/datasets/alfalfa-w/self-conditioning-deep-reasoning-data.
| Author / organization | alfalfa-w |
|---|---|
| License (as declared) | other |
| Downloads | 169 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 10 October 2026 |
| Last updated at source | 16 October 2026 |
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- 16 Oct 2026 Description: Self-conditioning deep reasoning datasets This repository hosts the original synthetic image pairs and locally derived metadata used by the main experiments in Self-Conditioning Enables Deep Sequential Reasoning in Flow Matching. The datase → Self-conditioning deep reasoning datasets Paper: Self-Conditioning Enables Deep Sequential Reasoning in Flow MatchingCode: https://github.com/imzzy1201/self-conditioning-deep-reasoning This repository hosts the original synthetic image pair
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