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license: mit
task_categories:
- text-generation
- question-answering
tags:
- planning
- reasoning
- diffusion-lm
- sudoku
- 3-sat
- cipher
- path-finding
---
# DLLM-Planning-Task
Benchmark datasets for evaluating planning capabilities of Diffusion Language Models (DLLMs).
## Dataset Description
This dataset contains multiple planning and combinatorial reasoning tasks designed to evaluate discrete diffusion language models. Each task has train/test splits in either CSV or JSONL format.
## Tasks
| Task | Format | Description |
|------|--------|-------------|
| **Sudoku** | CSV | 9x9 Sudoku puzzles. Columns: `quizzes`, `solutions`. || **3-SAT (5/7/9 vars)** | JSONL | Boolean satisfiability problems with 5, 7, or 9 variables. Fields: `input`, `output`. |
| **Path Finding (path-2-6)** | JSONL | Graph path-finding problems on small graphs. Fields: `input`, `output`, `reversed`. |
| **Cipher** | JSONL | Substitution cipher decoding. Fields: `input`, `output`. |
| **Chain Dependency (cd3/4/5)** | JSONL | Arithmetic chain-of-dependency problems of length 3, 4, 5. Fields: `input`, `output`. |
## Data Splits
Each task provides:
- `*_train.*` — Training set
- `*_test.*` — Held-out test set
## Usage
## License
MIT
|