SuhaoYu1020/arith-sq256
arith-sq256: square-rendered arithmetic (one-to-one and hard one-to-many targets) One zip (535 MB, 100k PNGs + jsonl indices). Unzip into your data root; paths inside the jsonl files are relative to the zip root. Used by the code at https://github.com/SuhaoYu1020/Semantic-Image-Release (trained checkpoints: https://huggingface.co/SuhaoYu1020/latent-arith-mmdit). arithmetic_add_unordered_sq256_same (one-to-one) Q: a + b = ? rendered on a 256x256 white canvas… See the full description on the dataset page: https://huggingface.co/datasets/SuhaoYu1020/arith-sq256.
| Author / organization | SuhaoYu1020 |
|---|---|
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 October 2026 |
| Last updated at source | 18 October 2026 |
Recent changes
- 18 Oct 2026 Description: arith-sq256: square-rendered arithmetic (one-to-one and hard one-to-many targets) One zip (535 MB, 100k PNGs + jsonl indices). Unzip into your data root; paths inside the jsonl files are relative to the zip root. Used by the code at https:/ → arith-sq256: square-rendered arithmetic (one-to-one and hard one-to-many targets) One zip (535 MB, 100k PNGs + jsonl indices). Unzip into your data root; paths inside the jsonl files are relative to the zip root. Used by the code at https:/
- 18 Oct 2026 Description: none → arith-sq256: square-rendered arithmetic (one-to-one and hard one-to-many targets) One zip (535 MB, 100k PNGs + jsonl indices). Unzip into your data root; paths inside the jsonl files are relative to the zip root. Used by the code at https:/
- 18 Oct 2026 Topics added task_categories:image-to-image, arithmetic, synthetic, diffusion, ocr
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