Download README.md from Leanmcp/cp2seq: direct link, hf CLI and curl.
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https://huggingface.co/datasets/Leanmcp/cp2seq/resolve/main/README.md
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pretty_name: CP2Seq
tags:
- origami
- geometry
- spatial-reasoning
- synthetic
CP2Seq
Synthetic origami crease patterns and reference folding sequences from Leanmcp.com.
Authors: Dheeraj Mohandas Pai and Lu Xian.
Paper: Origami as a Spatial and Geometric Reasoning Benchmark. Code, environment, and evaluation tools: Leanmcp-Community/CP2Seq.
Files
data/ preserves the contents and relative paths of
workspace/corpus/out/release/ in the source repository.
The release contains 600 samples across five batches:
| Batch | Samples |
|---|---|
| all-layers | 400 |
| some-generated-d5 | 50 |
| some-generated-d6 | 50 |
| some-verified-d3 | 50 |
| some-verified-d4 | 50 |
Each sample directory contains cp.fold, steps.fold, seq.json, and
meta.json. The root manifest.json and index.json describe the release;
the check JSON files contain previously saved verification results.
The verified batch names refer to bounded search checks, not separate
training or test partitions. Reference sequences are not necessarily shortest.
This is a file-based geometry dataset, not a single tabular JSON dataset. Download the original files with:
hf download Leanmcp/cp2seq --repo-type dataset --local-dir cp2seq
To use tools that expect the original repository layout, place the contents
of cp2seq/data/ under workspace/corpus/out/release/ in the code checkout.