| --- |
| license: other |
| task_categories: |
| - text-generation |
| dataset_info: |
| - config_name: gemma-2-9b-it |
| features: |
| - name: _index |
| dtype: int64 |
| - name: _lad_clean_ids |
| list: int64 |
| - name: _lad_answer_mask |
| list: bool |
| - name: _lad_padding_mask |
| list: bool |
| - name: _lad_usable |
| dtype: bool |
| - name: _lad_empty_answer |
| dtype: bool |
| - name: _lad_truncated |
| dtype: bool |
| - name: source |
| dtype: string |
| - name: category |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 435304373 |
| num_examples: 400000 |
| - name: validation |
| num_bytes: 10859001 |
| num_examples: 10000 |
| - name: test |
| num_bytes: 10876719 |
| num_examples: 10000 |
| download_size: 445389269 |
| dataset_size: 457040093 |
| - config_name: gemma-3-1b-it |
| features: |
| - name: _index |
| dtype: int64 |
| - name: _lad_clean_ids |
| list: int64 |
| - name: _lad_answer_mask |
| list: bool |
| - name: _lad_padding_mask |
| list: bool |
| - name: _lad_usable |
| dtype: bool |
| - name: _lad_empty_answer |
| dtype: bool |
| - name: _lad_truncated |
| dtype: bool |
| - name: source |
| dtype: string |
| - name: category |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 435159943 |
| num_examples: 400000 |
| - name: validation |
| num_bytes: 10855995 |
| num_examples: 10000 |
| - name: test |
| num_bytes: 10872911 |
| num_examples: 10000 |
| download_size: 445229863 |
| dataset_size: 456888849 |
| - config_name: llama-3.1-8b-instruct |
| features: |
| - name: _index |
| dtype: int64 |
| - name: _lad_clean_ids |
| list: int64 |
| - name: _lad_answer_mask |
| list: bool |
| - name: _lad_padding_mask |
| list: bool |
| - name: _lad_usable |
| dtype: bool |
| - name: _lad_empty_answer |
| dtype: bool |
| - name: _lad_truncated |
| dtype: bool |
| - name: source |
| dtype: string |
| - name: category |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 433544887 |
| num_examples: 400000 |
| - name: validation |
| num_bytes: 10805855 |
| num_examples: 10000 |
| - name: test |
| num_bytes: 10831419 |
| num_examples: 10000 |
| download_size: 443542903 |
| dataset_size: 455182161 |
| - config_name: llama-3.2-1b-instruct |
| features: |
| - name: _index |
| dtype: int64 |
| - name: _lad_clean_ids |
| list: int64 |
| - name: _lad_answer_mask |
| list: bool |
| - name: _lad_padding_mask |
| list: bool |
| - name: _lad_usable |
| dtype: bool |
| - name: _lad_empty_answer |
| dtype: bool |
| - name: _lad_truncated |
| dtype: bool |
| - name: source |
| dtype: string |
| - name: category |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 433544887 |
| num_examples: 400000 |
| - name: validation |
| num_bytes: 10805855 |
| num_examples: 10000 |
| - name: test |
| num_bytes: 10831419 |
| num_examples: 10000 |
| download_size: 443542903 |
| dataset_size: 455182161 |
| - config_name: ministral-8b-instruct-2410 |
| features: |
| - name: _index |
| dtype: int64 |
| - name: _lad_clean_ids |
| list: int64 |
| - name: _lad_answer_mask |
| list: bool |
| - name: _lad_padding_mask |
| list: bool |
| - name: _lad_usable |
| dtype: bool |
| - name: _lad_empty_answer |
| dtype: bool |
| - name: _lad_truncated |
| dtype: bool |
| - name: source |
| dtype: string |
| - name: category |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 407454567 |
| num_examples: 400000 |
| - name: validation |
| num_bytes: 10166635 |
| num_examples: 10000 |
| - name: test |
| num_bytes: 10173935 |
| num_examples: 10000 |
| download_size: 416074031 |
| dataset_size: 427795137 |
| - config_name: qwen2.5-1.5b-instruct |
| features: |
| - name: _index |
| dtype: int64 |
| - name: _lad_clean_ids |
| list: int64 |
| - name: _lad_answer_mask |
| list: bool |
| - name: _lad_padding_mask |
| list: bool |
| - name: _lad_usable |
| dtype: bool |
| - name: _lad_empty_answer |
| dtype: bool |
| - name: _lad_truncated |
| dtype: bool |
| - name: source |
| dtype: string |
| - name: category |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 435953169 |
| num_examples: 400000 |
| - name: validation |
| num_bytes: 10863717 |
| num_examples: 10000 |
| - name: test |
| num_bytes: 10888885 |
| num_examples: 10000 |
| download_size: 446082255 |
| dataset_size: 457705771 |
| - config_name: qwen2.5-7b-instruct |
| features: |
| - name: _index |
| dtype: int64 |
| - name: _lad_clean_ids |
| list: int64 |
| - name: _lad_answer_mask |
| list: bool |
| - name: _lad_padding_mask |
| list: bool |
| - name: _lad_usable |
| dtype: bool |
| - name: _lad_empty_answer |
| dtype: bool |
| - name: _lad_truncated |
| dtype: bool |
| - name: source |
| dtype: string |
| - name: category |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 435953169 |
| num_examples: 400000 |
| - name: validation |
| num_bytes: 10863717 |
| num_examples: 10000 |
| - name: test |
| num_bytes: 10888885 |
| num_examples: 10000 |
| download_size: 446082255 |
| dataset_size: 457705771 |
| configs: |
| - config_name: gemma-2-9b-it |
| data_files: |
| - split: train |
| path: gemma-2-9b-it/train-* |
| - split: validation |
| path: gemma-2-9b-it/validation-* |
| - split: test |
| path: gemma-2-9b-it/test-* |
| - config_name: gemma-3-1b-it |
| data_files: |
| - split: train |
| path: gemma-3-1b-it/train-* |
| - split: validation |
| path: gemma-3-1b-it/validation-* |
| - split: test |
| path: gemma-3-1b-it/test-* |
| - config_name: llama-3.1-8b-instruct |
| data_files: |
| - split: train |
| path: llama-3.1-8b-instruct/train-* |
| - split: validation |
| path: llama-3.1-8b-instruct/validation-* |
| - split: test |
| path: llama-3.1-8b-instruct/test-* |
| - config_name: llama-3.2-1b-instruct |
| data_files: |
| - split: train |
| path: llama-3.2-1b-instruct/train-* |
| - split: validation |
| path: llama-3.2-1b-instruct/validation-* |
| - split: test |
| path: llama-3.2-1b-instruct/test-* |
| - config_name: ministral-8b-instruct-2410 |
| data_files: |
| - split: train |
| path: ministral-8b-instruct-2410/train-* |
| - split: validation |
| path: ministral-8b-instruct-2410/validation-* |
| - split: test |
| path: ministral-8b-instruct-2410/test-* |
| - config_name: qwen2.5-1.5b-instruct |
| data_files: |
| - split: train |
| path: qwen2.5-1.5b-instruct/train-* |
| - split: validation |
| path: qwen2.5-1.5b-instruct/validation-* |
| - split: test |
| path: qwen2.5-1.5b-instruct/test-* |
| - config_name: qwen2.5-7b-instruct |
| data_files: |
| - split: train |
| path: qwen2.5-7b-instruct/train-* |
| - split: validation |
| path: qwen2.5-7b-instruct/validation-* |
| - split: test |
| path: qwen2.5-7b-instruct/test-* |
| --- |
| |
| # BYOD: pretokenized 256-token training profiles |
|
|
| Paper: [BYOD: Build Your Own DLM — Efficient Autoregressive-to-Diffusion Language Model Conversion](https://arxiv.org/abs/2610.41574) |
|
|
| Clean token IDs and deterministic answer/padding masks for the standalone |
| [BYOD implementation](https://github.com/RuurdKuiper/BYOD). Random masking is |
| resampled online during training; these are not fixed noisy training inputs. |
|
|
| Each configuration uses its own pinned tokenizer and native chat template. |
| `prepared/CONFIG.json` records exact tokenizer/source revisions, recipe, row |
| counts, source indices, seed, and training prefix. Use the matching configuration; |
| token IDs are not interchangeable across models. The default publication uses |
| the seed-42 prefix of up to 400,000 nonempty training examples and the nonempty |
| validation/test splits for the standard 25,000-update recipe. Larger/custom |
| training budgets require a compatible full-data publication or local preparation. |
|
|
| The source is [Ruurd/LAD-training-1m-256](https://huggingface.co/datasets/Ruurd/LAD-training-1m-256) |
| at revision `6041513b684d6ca627879ffdb547b8629bb8b8de`. |
| `_index` identifies the original row in each source split; `source` and `category` |
| retain row-level attribution. `_lad_clean_ids` and the two boolean masks are |
| truncated exactly as in the training implementation. No model weights or |
| tokenizer files are redistributed here. |
|
|
| ## Terms and provenance |
|
|
| This derivative retains the upstream mixture's restrictions and is **not** |
| covered by the software repository's MIT license. In particular, Alpaca-derived |
| rows carry non-commercial restrictions. See the [upstream provenance and terms](https://huggingface.co/datasets/Dovelove/BYOD-training-1m-256#upstream-repositories-and-terms). |
| Comply with each source's terms and the applicable parent-model/tokenizer terms. |
|
|
| Sources include Clean-Instruct-3M (no license declared on its source card), Tulu 3 |
| (ODC-By), Alpaca-GPT4/Alpaca (CC BY-NC 4.0), MMLU/Orca-Math/GSM8K/OpenCoder |
| (MIT), HellaSwag (MIT in its project), ARC (CC BY-SA 4.0), and MBPP (CC BY 4.0). |
