---
title: Segway
canonical_url: "https://www.modelscope.cn/datasets/User040218/Segway"
md_url: "https://www.modelscope.cn/datasets/User040218/Segway.md"
repository: User040218/Segway
last_updated: 2026-11-01
license: other
storage_size: "5.1 GB"
downloads: 1276
stars: 0
---

# Segway

> Segway - User040218 在 ModelScope 开源的数据集。Segway K562 segments with 25 chromatin-state classes and hg18 sequences (multiclass classification).

User040218/Segway 是 ModelScope 魔搭社区上的数据集，存储大小 5.1 GB，采用 other 许可。

- **Repository**: User040218/Segway
- **License**: other
- **Storage size**: 5.1 GB
- **Downloads**: 1276
- **Stars**: 0
- **Last updated**: 2026-11-01

Source: https://www.modelscope.cn/datasets/User040218/Segway

---

# Segway

**K562 Segway segments with 25 chromatin-state classes and hg18 sequences** — multiclass classification.

Segway performs semi-automated genomic annotation by unsupervised segmentation of multiple chromatin signal tracks. The authors' project page provides the K562 signal tracks (hg18 bedGraph) and the segmentation results used in the paper.

Each row is one segment: `sequence` is its hg18 sequence (variable length; median 122 bp, maximum 5,556 bp) and `labels` one of the authors' 25 mnemonic classes (mapping in `dnallm/label_map.json`); 28,112 rows in a single train split.

Official dataset description: [Segway project page](https://noble.gs.washington.edu/proj/segway/).

## Splits

Subset: `default`

| Split | Rows |
|---|---:|
| train | 28,112 |

## Format

Parquet. Main columns:

| Column | Type | Description |
|---|---|---|
| `sequence` | string | Segment DNA sequence (hg18) |
| `labels` | int64 | State index (25 classes) |
| `mnemonic` / `description` | string | Author mnemonic and description |
| `chrom` / `start` / `end` | string / int64 | Segment coordinates |
| `region` | string | Training region |

## Usage

Example with [DNALLM](https://github.com/zhangtaolab/DNALLM): subset `default`, multiclass classification, `num_labels=25`.

```python
from modelscope.msdatasets import MsDataset
from dnallm import DNADataset

ds = MsDataset.load("User040218/Segway", subset_name="default")
# tokenizer: the tokenizer of your DNALLM model; set max_length to match its tokenization
data = DNADataset(ds, tokenizer=tokenizer, max_length=5558)
```

## Notes

- Segment lengths vary widely; truncate or chunk to the maximum length of your model.
- Only a train split is provided.

## Source

If you use this dataset, please cite:

- Hoffman MM, Buske OJ, Wang J, Weng Z, Bilmes JA, Noble WS. Unsupervised pattern discovery in human chromatin structure through genomic segmentation. Nature Methods 2012;9(5):473-476. doi:10.1038/nmeth.1937

## License

Declared as `other`: use of the data follows the terms of the original data providers listed in Source.