Commit ·
4fb73a9
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Parent(s):
CES data, checkpoints, tokenizer and readable confirmation results
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +62 -0
- .gitignore +3 -0
- LICENSES.md +30 -0
- NOTICE.md +38 -0
- README.md +151 -0
- SHA256SUMS +618 -0
- checkpoints/clean-ar/d12/seed42/meta_026880.json +158 -0
- checkpoints/clean-ar/d12/seed42/model_026880.pt +3 -0
- checkpoints/clean-ar/d12/seed43/meta_026880.json +158 -0
- checkpoints/clean-ar/d12/seed43/model_026880.pt +3 -0
- checkpoints/clean-ar/d12/seed44/meta_026880.json +158 -0
- checkpoints/clean-ar/d12/seed44/model_026880.pt +3 -0
- checkpoints/clean-ar/d18/seed42/meta_039600.json +158 -0
- checkpoints/clean-ar/d18/seed42/model_039600.pt +3 -0
- checkpoints/clean-ar/d18/seed43/meta_039600.json +158 -0
- checkpoints/clean-ar/d18/seed43/model_039600.pt +3 -0
- checkpoints/clean-ar/d18/seed44/meta_039600.json +158 -0
- checkpoints/clean-ar/d18/seed44/model_039600.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/adapted-ces/d12/coedit-finetuned/meta_000150.json +198 -0
- checkpoints/methods-sweep/seed-m42-d1234/adapted-ces/d12/coedit-finetuned/model_000150.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/adapted-ces/d12/pretrained/meta_001000.json +372 -0
- checkpoints/methods-sweep/seed-m42-d1234/adapted-ces/d12/pretrained/model_001000.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/adapted-ces/d18/coedit-finetuned/meta_000150.json +198 -0
- checkpoints/methods-sweep/seed-m42-d1234/adapted-ces/d18/coedit-finetuned/model_000150.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/adapted-ces/d18/pretrained/meta_001000.json +432 -0
- checkpoints/methods-sweep/seed-m42-d1234/adapted-ces/d18/pretrained/model_001000.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/adapted-ces/d24/coedit-finetuned/meta_000150.json +198 -0
- checkpoints/methods-sweep/seed-m42-d1234/adapted-ces/d24/coedit-finetuned/model_000150.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/adapted-ces/d24/pretrained/meta_001000.json +492 -0
- checkpoints/methods-sweep/seed-m42-d1234/adapted-ces/d24/pretrained/model_001000.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d12/coedit-finetuned/meta_000150.json +193 -0
- checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d12/coedit-finetuned/model_000150.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d12/pretrained/meta_026880.json +185 -0
- checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d12/pretrained/model_026880.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d18/coedit-finetuned/meta_000150.json +193 -0
- checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d18/coedit-finetuned/model_000150.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d18/pretrained/meta_039600.json +185 -0
- checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d18/pretrained/model_039600.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d24/coedit-finetuned/meta_000150.json +193 -0
- checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d24/coedit-finetuned/model_000150.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d24/pretrained/meta_074800.json +185 -0
- checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d24/pretrained/model_074800.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/ces/d12/coedit-finetuned/meta_000150.json +193 -0
- checkpoints/methods-sweep/seed-m42-d1234/ces/d12/coedit-finetuned/model_000150.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/ces/d12/pretrained/meta_026880.json +185 -0
- checkpoints/methods-sweep/seed-m42-d1234/ces/d12/pretrained/model_026880.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/ces/d18/coedit-finetuned/meta_000150.json +193 -0
- checkpoints/methods-sweep/seed-m42-d1234/ces/d18/coedit-finetuned/model_000150.pt +3 -0
- checkpoints/methods-sweep/seed-m42-d1234/ces/d18/pretrained/meta_039600.json +185 -0
- checkpoints/methods-sweep/seed-m42-d1234/ces/d18/pretrained/model_039600.pt +3 -0
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.gitignore
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.cache/
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__pycache__/
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*.pyc
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LICENSES.md
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# Component licences
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Copyright © 2026 Louis Robinson for original CES contributions.
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- **Reconstruction code:** [MIT](licenses/MIT.txt).
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- **Original CES annotations, generated edit recipes, reference manifests and
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documentation:** [CC BY 4.0](licenses/CC-BY-4.0.txt), to the extent the author
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holds rights. Attribute Louis Robinson, *Causal Edit Serialization*, link to
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https://github.com/Louiii/CES and the licence, and identify modifications.
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- **ClimbMix source material:** [CC BY-NC 4.0](licenses/CC-BY-NC-4.0.txt), as
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specified by NVIDIA's original distribution. This covers source passages in
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pretraining candidates, copy-scan records and controlled-repair data; CES adds
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corruptions, annotations and serialization. Karpathy's shuffled card states
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MIT, but CES does not interpret shuffling as removing the original restrictions.
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- **CoEdIT:** complete source/target sentences, serialized copies and complete
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corrupted sentences are excluded. Reference IDs/hashes and generated edit
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recipes require a separately obtained upstream copy. The official distribution
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states Apache 2.0; underlying NUCLE/Lang-8 terms raise unresolved redistribution
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questions described in the README. Reconstruction does not relicense that text.
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Source passages, including reversible token representations, are not licensed
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as original CES contributions. Original CES model weights under `checkpoints/` are CC BY 4.0 to the extent
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of rights held by Louis Robinson. Training-data terms are not automatically
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assigned to weights; this grant does not relicense source text or warrant the
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absence of third-party rights in every downstream use. No benchmark result
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records are included in this release. No permissions are asserted for
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third-party rights the author does not hold.
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Source terms checked on 3 October 2026. [NOTICE.md](NOTICE.md) records attribution
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and modifications. These notices do not imply endorsement by upstream authors.
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NOTICE.md
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# Attribution and changes
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Louis Robinson, *Causal Edit Serialization* (CES), 2026:
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https://github.com/Louiii/CES.
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NVIDIA, Nemotron-ClimbMix: https://huggingface.co/datasets/nvidia/Nemotron-ClimbMix;
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associated paper https://arxiv.org/abs/2504.13161. Source text was obtained through
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Andrej Karpathy's shuffled distribution:
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https://huggingface.co/datasets/karpathy/climbmix-400b-shuffle. CES applies filtering,
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synthetic corruption, edit annotation, fixed partitioning and serialization.
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The original distribution's CC BY-NC 4.0 statement is preserved.
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Vipul Raheja, Dhruv Kumar, Ryan Koo and Dongyeop Kang. *CoEdIT: Text Editing by
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Task-Specific Instruction Tuning*, Findings of EMNLP 2023:
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https://aclanthology.org/2023.findings-emnlp.350/. Official distribution:
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https://huggingface.co/datasets/grammarly/coedit. CES's reconstruction removes
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instruction prefixes, uses fixed deduplicated partitions, and applies recorded
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synthetic edits locally. This repository contains references and edit recipes,
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not the original CoEdIT sentence pairs.
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CoEdIT credits NUCLE (Daniel Dahlmeier, Hwee Tou Ng and Siew Mei Wu), NAIST Lang-8
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(Toshikazu Tajiri, Mamoru Komachi and Yuji Matsumoto), and W&I–LOCNESS/BEA-2019
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(Christopher Bryant and collaborators) as GEC sources. Corpus terms remain
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applicable to separately obtained data; the CoEdIT card's Apache 2.0 statement
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is not presented here as overriding those terms.
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GPT-5 Mini generated synthetic corruptions. They are research annotations, not
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human-verified ground truth. API transport records are excluded. Five pretraining
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candidate rows with credential-shaped strings were omitted whole, preserving
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text/offset alignment in retained examples. Arithmetic experiments are excluded.
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The CES corpus-building code extends Andrej Karpathy's NanoChat; the code
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repository preserves its MIT copyright notice.
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The CES checkpoints were trained using ClimbMix-based data, with CoEdIT-derived
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fine-tuning/post-training where specified by their adjacent metadata. The
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weights and architecture changes are original CES contributions; source-data
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credits and restrictions remain as described above.
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README.md
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|
|
| 1 |
+
---
|
| 2 |
+
pretty_name: Causal Edit Serialization (CES) — Data and checkpoints
|
| 3 |
+
license: other
|
| 4 |
+
license_name: ces-component-licenses
|
| 5 |
+
license_link: https://huggingface.co/datasets/lorob/CES/blob/main/LICENSES.md
|
| 6 |
+
language:
|
| 7 |
+
- en
|
| 8 |
+
tags:
|
| 9 |
+
- causal-edit-serialization
|
| 10 |
+
- text-editing
|
| 11 |
+
- grammatical-error-correction
|
| 12 |
+
configs:
|
| 13 |
+
- config_name: generated-edit-candidates
|
| 14 |
+
data_files:
|
| 15 |
+
- split: train
|
| 16 |
+
path: data/pretraining/gpt5mini-edit-candidates/*.parquet
|
| 17 |
+
- config_name: controlled-repair
|
| 18 |
+
data_files:
|
| 19 |
+
- split: validation
|
| 20 |
+
path: data/evaluations/controlled-edit-val-v1/manifest.jsonl
|
| 21 |
+
- config_name: balanced-controlled-training
|
| 22 |
+
data_files:
|
| 23 |
+
- split: train
|
| 24 |
+
path: data/posttraining/ces/v1/balanced-sft/controlled-edit-train-balanced-v1.jsonl
|
| 25 |
+
---
|
| 26 |
+
|
| 27 |
+
# Causal Edit Serialization: data and checkpoints
|
| 28 |
+
|
| 29 |
+
Louis Robinson · [CES code and paper project](https://github.com/Louiii/CES)
|
| 30 |
+
|
| 31 |
+
This repository contains CES training candidates, controlled-repair evaluation
|
| 32 |
+
data, and recipes for reconstructing the CoEdIT-based inputs locally. It also includes 66 model checkpoints with their configuration metadata.
|
| 33 |
+
Experiment logs are excluded.
|
| 34 |
+
|
| 35 |
+
| Directory | Contents |
|
| 36 |
+
|---|---|
|
| 37 |
+
| `data/pretraining/` | 361,768 synthetic-edit candidate rows in 109 Parquet files, plus copy-scan records |
|
| 38 |
+
| `data/evaluations/controlled-edit-val-v1/` | 1,000 fixed controlled-repair examples |
|
| 39 |
+
| `data/posttraining/ces/v1/balanced-sft/` | 1,500 controlled recovery training examples |
|
| 40 |
+
| `reconstruction/` | CoEdIT example references, hashes, generated edit recipes and a local reconstruction script |
|
| 41 |
+
|
| 42 |
+
The full raw ClimbMix corpus is not included. Its source passages occur in the
|
| 43 |
+
prepared ClimbMix-based examples and retain the original CC BY-NC 4.0 terms.
|
| 44 |
+
Five candidate rows containing credential-shaped strings were omitted whole;
|
| 45 |
+
retained text and edit offsets are unchanged. The released candidate subset is
|
| 46 |
+
therefore not byte-identical to the historical training input. Arithmetic
|
| 47 |
+
experiments are excluded.
|
| 48 |
+
|
| 49 |
+
## Why the CoEdIT sentences are not included
|
| 50 |
+
|
| 51 |
+
We would prefer to distribute all prepared inputs directly, so reproducing CES
|
| 52 |
+
would require fewer setup steps. However, the [CoEdIT dataset card](https://huggingface.co/datasets/grammarly/coedit)
|
| 53 |
+
advertises Apache 2.0 while [its paper](https://aclanthology.org/2023.findings-emnlp.350/)
|
| 54 |
+
identifies underlying GEC corpora with additional restrictions. In particular,
|
| 55 |
+
[NUCLE's source agreement](https://www.comp.nus.edu.sg/~nlp/conll14st/nucle_license.pdf)
|
| 56 |
+
restricts redistribution, and [NAIST Lang-8](https://sites.google.com/site/naistlang8corpora)
|
| 57 |
+
limits availability to research and educational purposes. We have not established
|
| 58 |
+
how the distribution's Apache statement resolves those underlying permissions.
|
| 59 |
+
|
| 60 |
+
To avoid asserting rights we cannot establish, this release provides references
|
| 61 |
+
and preparation code instead of republishing the CoEdIT source/target sentences,
|
| 62 |
+
their serialized copies, or complete generated corruptions. This adds a download
|
| 63 |
+
and reconstruction step. It is a limitation of the release, not a claim that the
|
| 64 |
+
CoEdIT authors refused us permission or acted improperly.
|
| 65 |
+
|
| 66 |
+
Users obtain the source files from the official CoEdIT distribution and remain
|
| 67 |
+
responsible for complying with the terms applicable to their use. Reconstruction
|
| 68 |
+
does not remove the original restrictions or create new permissions.
|
| 69 |
+
|
| 70 |
+
## Reconstruct the CoEdIT inputs
|
| 71 |
+
|
| 72 |
+
Install `huggingface_hub` and `pyarrow` in a Python environment. From this
|
| 73 |
+
repository's downloaded directory, run:
|
| 74 |
+
|
| 75 |
+
```bash
|
| 76 |
+
python reconstruction/reconstruct_coedit.py \
|
| 77 |
+
--download \
|
| 78 |
+
--upstream-dir ../ces-upstream/coedit \
|
| 79 |
+
--output ../ces-local
|
| 80 |
+
```
|
| 81 |
+
|
| 82 |
+
The download uses the official `grammarly/coedit` repository at commit
|
| 83 |
+
`e9a255c33ef910bc33a9d2b522653fa87521583e`. This revision has been verified against
|
| 84 |
+
the retained CES examples; it is not claimed to be the unrecorded historical
|
| 85 |
+
download revision. File and text hashes are checked before reconstruction.
|
| 86 |
+
To use source files you already obtained, omit `--download` and place the pinned
|
| 87 |
+
`train.jsonl` and `validation.jsonl` files in `--upstream-dir`.
|
| 88 |
+
|
| 89 |
+
The script reconstructs, in historical order:
|
| 90 |
+
|
| 91 |
+
- 12,756 training, 485 development, 2,000 selection and 5,000 confirmation pairs;
|
| 92 |
+
- the 5,000 clean confirmation inputs and 12,000 clean corruption-generation targets;
|
| 93 |
+
- the 6,813 approved generated corruptions, including the historical character
|
| 94 |
+
edit programs used by the training loader.
|
| 95 |
+
|
| 96 |
+
Generated corruption recipes contain offsets into source text and added payloads,
|
| 97 |
+
not complete source sentences. No model/API calls are needed to reconstruct them.
|
| 98 |
+
The training fields match the historical records; API response traces and raw
|
| 99 |
+
model-operation prose are omitted. Parquet binary files need not be byte-identical.
|
| 100 |
+
|
| 101 |
+
Keep upstream downloads and reconstructed outputs outside this public repository.
|
| 102 |
+
The script enforces separate directories to reduce accidental re-upload.
|
| 103 |
+
See [reconstruction/README.md](reconstruction/README.md) for rebuilding the
|
| 104 |
+
optional tokenizer-dependent fine-tuning shards using CES code.
|
| 105 |
+
|
| 106 |
+
## Download only what you need
|
| 107 |
+
|
| 108 |
+
```python
|
| 109 |
+
from huggingface_hub import HfApi, snapshot_download
|
| 110 |
+
|
| 111 |
+
revision = HfApi().repo_info("lorob/CES", repo_type="dataset").sha
|
| 112 |
+
print("Save this artifact revision:", revision)
|
| 113 |
+
snapshot_download(
|
| 114 |
+
"lorob/CES", repo_type="dataset", revision=revision,
|
| 115 |
+
local_dir="ces-data",
|
| 116 |
+
allow_patterns=["reconstruction/*", "LICENSES.md", "NOTICE.md", "licenses/*"],
|
| 117 |
+
)
|
| 118 |
+
```
|
| 119 |
+
|
| 120 |
+
Use `data/pretraining/*`, `data/evaluations/*` or `data/posttraining/*` in
|
| 121 |
+
`allow_patterns` for those components. `SHA256SUMS` covers every released file
|
| 122 |
+
except itself and `manifest.jsonl`; verify a complete download with
|
| 123 |
+
`sha256sum -c SHA256SUMS` from its directory.
|
| 124 |
+
|
| 125 |
+
## Licences and attribution
|
| 126 |
+
|
| 127 |
+
CES reconstruction code is MIT; original annotations, edit recipes and
|
| 128 |
+
documentation are CC BY 4.0, limited to rights held by the author. ClimbMix source
|
| 129 |
+
text retains CC BY-NC 4.0. These are component-specific permissions, not a blanket
|
| 130 |
+
unrestricted licence. See [LICENSES.md](LICENSES.md) and [NOTICE.md](NOTICE.md).
|
| 131 |
+
|
| 132 |
+
## Checkpoints
|
| 133 |
+
|
| 134 |
+
`checkpoints/` contains 48 pretrained/CoEdIT-finetuned method-grid weights,
|
| 135 |
+
9 final CES RL weights, 6 matched clean-AR references, and 2 pointer-ablation
|
| 136 |
+
weights. Each `model_*.pt` has its adjacent `meta_*.json`. Total size is approximately
|
| 137 |
+
132.9 GiB; use selective downloads for the model you need. No optimizer states or
|
| 138 |
+
training logs are included.
|
| 139 |
+
|
| 140 |
+
These custom checkpoints require CES code and the canonical `ces32k_v1` tokenizer;
|
| 141 |
+
they are not Transformers `AutoModel` repositories. The tokenizer is a separate
|
| 142 |
+
prerequisite and is not included in this checkpoint upload. For example, select
|
| 143 |
+
`checkpoints/rl-posttraining/ces/d12/posttrain-seed-42/*` in the download example
|
| 144 |
+
above for the smallest final CES RL model.
|
| 145 |
+
|
| 146 |
+
Original CES weights are CC BY 4.0 to the extent of the author's rights; this does
|
| 147 |
+
not relicense training text or establish permissions for all downstream uses.
|
| 148 |
+
|
| 149 |
+
### Checkpoint identities
|
| 150 |
+
|
| 151 |
+
`checkpoints/models.json` lists model IDs, download paths and complete training lineages. The d12 RL family uses a separate pretrained base at `checkpoints/rl-posttraining/ces/d12/pretrained/model_074800.pt`; the d12 methods-grid pretrained checkpoint is a different run. Adapted-CES includes clean pretraining and CES adaptation within one experiment; its internal clean-stage weights are not distributed.
|
SHA256SUMS
ADDED
|
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| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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{
|
| 191 |
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|
| 192 |
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|
| 193 |
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| 194 |
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|
| 198 |
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size 2254385172
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|
| 1 |
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@@ -0,0 +1,492 @@
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| 1 |
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{
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| 2 |
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| 3 |
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| 7 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 24 |
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| 25 |
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|
| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 32 |
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| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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| 42 |
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|
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|
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checkpoints/methods-sweep/seed-m42-d1234/ar-dsl/d24/pretrained/model_074800.pt
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checkpoints/methods-sweep/seed-m42-d1234/ces/d12/coedit-finetuned/meta_000150.json
ADDED
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@@ -0,0 +1,193 @@
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|
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|
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|
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|
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|
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|
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|
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checkpoints/methods-sweep/seed-m42-d1234/ces/d18/pretrained/model_039600.pt
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