---
dataset_info:
  features:
  - name: image_file_name
    dtype: string
  - name: image_path
    dtype: string
  - name: object_id
    sequence: int64
  - name: headline
    dtype: string
  - name: article
    dtype: string
  - name: byline
    dtype: string
  - name: bbox_list
    sequence:
      sequence: float64
  - name: bbox
    sequence: float64
  - name: full_article_id
    dtype: int64
  - name: id
    dtype: string
  - name: imageid
    dtype: int64
  - name: query
    dtype: string
  - name: idx
    dtype: int64
  - name: cluster
    dtype: int64
  - name: duplicates
    sequence: int64
  splits:
  - name: test
    num_bytes: 23946859
    num_examples: 14211
  - name: val
    num_bytes: 8647243
    num_examples: 4988
  download_size: 19407100
  dataset_size: 32594102
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
  - split: val
    path: data/val-*
license: unknown
---

# NEWS COPY

This dataset contains the evaluation and test sets for the NEWS COPY dataset. Original source can be found at [Github](https://github.com/dell-research-harvard/NEWS-COPY). The license is unclear.

It contains the following data:

- Historical Newspapers

Training datasets can be found at [chenghao/NEWS-COPY-train](https://huggingface.co/datasets/chenghao/NEWS-COPY-train/).


## Citation

```
@inproceedings{silcock-etal-2020-noise,
  title = "Noise-Robust De-Duplication at Scale",
  author = "Silcock, Emily and D'Amico-Wong, Luca and Yang, Jinglin and Dell, Melissa",
  booktitle = "International Conference on Learning Representations (ICLR)",
  year = "2023",
}
```