| # MBD-LMs MultiTF Datasets | |
| ## Contents | |
| | Dataset | Task | Samples | | |
| |---------|------|---------| | |
| | `llada2_math_multi_tf_60k_oput.jsonl` | Math reasoning | 60k | | |
| | `llada2_code_multi_tf_60k_oput.jsonl` | Code generation | 60k | | |
| | `sdar_code_multi_tf_10k.jsonl` | Code generation | 10k | | |
| | `sdar_math_multi_tf_20k.jsonl` | Math reasoning | 20k | | |
| ## Data Sources | |
| ### LLaDA2 | |
| Both LLaDA2 datasets are randomly sampled (60k each) from the DMax training trajectories: | |
| | Split | Source | | |
| |-------|--------| | |
| | Code | [Zigeng/DMax-LLaDA-2.0-Mini-Code-Trajectories](https://huggingface.co/datasets/Zigeng/DMax-LLaDA-2.0-Mini-Code-Trajectories) | | |
| | Math | [Zigeng/DMax-LLaDA-2.0-Mini-Math-Trajectories](https://huggingface.co/datasets/Zigeng/DMax-LLaDA-2.0-Mini-Math-Trajectories) | | |
| ### SDAR | |
| | Split | Source | Notes | | |
| |-------|--------|-------| | |
| | Math (20k) | [When-Does-Reasoning-Matter/math-reasoning-ift-pairs](https://huggingface.co/datasets/When-Does-Reasoning-Matter/math-reasoning-ift-pairs) | Randomly sampled | | |
| | Code (10k) | [Zigeng/DMax-LLaDA-2.0-Mini-Code-Trajectories](https://huggingface.co/datasets/Zigeng/DMax-LLaDA-2.0-Mini-Code-Trajectories) | Sampled then regenerated with [JetLM/SDAR-30B-A3B-Chat-b32](https://huggingface.co/JetLM/SDAR-30B-A3B-Chat-b32) | | |