File size: 1,617 Bytes
594d356 d29b90a 594d356 d29b90a 8886f0e d29b90a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 |
---
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",
}
``` |