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 |
| Math | Zigeng/DMax-LLaDA-2.0-Mini-Math-Trajectories |
SDAR
| Split | Source | Notes |
|---|---|---|
| Math (20k) | When-Does-Reasoning-Matter/math-reasoning-ift-pairs | Randomly sampled |
| Code (10k) | Zigeng/DMax-LLaDA-2.0-Mini-Code-Trajectories | Sampled then regenerated with JetLM/SDAR-30B-A3B-Chat-b32 |