---
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