README.md

---
dataset_info:
  features:
  - name: filename
    dtype: string
  - name: tfw
    dtype: binary
  - name: tif
    dtype: binary
  - name: label_tif
    dtype: binary
  - name: label_tfw
    dtype: binary
  splits:
  - name: train
    num_bytes: 2739248440
    num_examples: 180000
  - name: val
    num_bytes: 297399599
    num_examples: 19999
  download_size: 2804405571
  dataset_size: 3036648039
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: val
    path: data/val-*
---

# Dataset Card for Sidewalks

This dataset comprises a collection of sidewalk images stored in a streamable format. It includes separate sets of Parquet files designated for training and validation, each with its respective split of data. Within the Parquet files, the dataset features information such as filenames, where image data is encoded as bytes, along with corresponding tfw files also encoded as bytes.

## Code to stream train split
```
from datasets import load_dataset
dataset = load_dataset("back2classroom/sidewalks", split='test', streaming=True)
print(next(iter(dataset)))
```

## Code to stream val split
```
from datasets import load_dataset
dataset = load_dataset("back2classroom/sidewalks", split='val', streaming=True)
print(next(iter(dataset)))
```