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| # Attribution and changes | |
| Louis Robinson, *Causal Edit Serialization* (CES), 2026: | |
| https://github.com/Louiii/CES. | |
| NVIDIA, Nemotron-ClimbMix: https://huggingface.co/datasets/nvidia/Nemotron-ClimbMix; | |
| associated paper https://arxiv.org/abs/2504.13161. Source text was obtained through | |
| Andrej Karpathy's shuffled distribution: | |
| https://huggingface.co/datasets/karpathy/climbmix-400b-shuffle. CES applies filtering, | |
| synthetic corruption, edit annotation, fixed partitioning and serialization. | |
| The original distribution's CC BY-NC 4.0 statement is preserved. | |
| Vipul Raheja, Dhruv Kumar, Ryan Koo and Dongyeop Kang. *CoEdIT: Text Editing by | |
| Task-Specific Instruction Tuning*, Findings of EMNLP 2023: | |
| https://aclanthology.org/2023.findings-emnlp.350/. Official distribution: | |
| https://huggingface.co/datasets/grammarly/coedit. CES's reconstruction removes | |
| instruction prefixes, uses fixed deduplicated partitions, and applies recorded | |
| synthetic edits locally. This repository contains references and edit recipes, | |
| not the original CoEdIT sentence pairs. | |
| CoEdIT credits NUCLE (Daniel Dahlmeier, Hwee Tou Ng and Siew Mei Wu), NAIST Lang-8 | |
| (Toshikazu Tajiri, Mamoru Komachi and Yuji Matsumoto), and W&I–LOCNESS/BEA-2019 | |
| (Christopher Bryant and collaborators) as GEC sources. Corpus terms remain | |
| applicable to separately obtained data; the CoEdIT card's Apache 2.0 statement | |
| is not presented here as overriding those terms. | |
| GPT-5 Mini generated synthetic corruptions. They are research annotations, not | |
| human-verified ground truth. API transport records are excluded. Five pretraining | |
| candidate rows with credential-shaped strings were omitted whole, preserving | |
| text/offset alignment in retained examples. Arithmetic experiments are excluded. | |
| The CES corpus-building code extends Andrej Karpathy's NanoChat; the code | |
| repository preserves its MIT copyright notice. | |
| The CES checkpoints were trained using ClimbMix-based data, with CoEdIT-derived | |
| fine-tuning/post-training where specified by their adjacent metadata. The | |
| weights and architecture changes are original CES contributions; source-data | |
| credits and restrictions remain as described above. | |