task_categories:summarization license:apache-2.0 size_categories:n<1K format:parquet modality:text library:datasets library:dask library:mlcroissant library:polars region:us
---
license: apache-2.0
dataset_info:
  features:
  - name: id
    dtype: string
  - name: image
    sequence: binary
  - name: page_number
    sequence: int64
  - name: summaries
    sequence: string
  splits:
  - name: train
    num_bytes: 7825711599
    num_examples: 673
  download_size: 7733366126
  dataset_size: 7825711599
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
size_categories:
- n<1K
task_categories:
- summarization
---



We collect the dataset from openreview.

```
Dataset({
features: ['id', 'image', 'page_number', 'summaries'],
num_rows: 673
})
```

To view the image
```
from PIL import Image
import io

Image.open(io.BytesIO(img))
```