davanstrien/autogenerated-dataset-card

---
dataset_info:
features:
- name: file
dtype: string
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': text-only
'1': illustrations
- name: pub_date
dtype: timestamp[ns]
- name: page_seq_num
dtype: int64
- name: edition_seq_num
dtype: int64
- name: batch
dtype: string
- name: lccn
dtype: string
- name: box
sequence: float32
- name: score
dtype: float64
- name: ocr
dtype: string
- name: place_of_publication
dtype: string
- name: geographic_coverage
dtype: string
- name: name
dtype: string
- name: publisher
dtype: string
- name: url
dtype: string
- name: page_url
dtype: string
splits:
- name: train
num_bytes: 48233952
num_examples: 549
download_size: 48027719
dataset_size: 48233952
size_categories:
- n<1K
---
# Dataset Card for "test_dataset_cogapp"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

The first row of the dataset looks like

<!-- [[[cog
from datasets import load_dataset
import json
ds = load_dataset("davanstrien/test_dataset_cogapp")
data = ds['train'][0]
example = json.dumps({k: str(v) for k,v in data.items()}, indent=2)
cog.out(
"```\n{}\n```".format(example))
)]]] -->
```
{
"file": "pst_fenske_ver02_data_sn84026497_00280776129_1880042101_0834_002_6_96.jpg",
"image": "<PIL.JpegImagePlugin.JpegImageFile image mode=L size=388x395 at 0x11AF00990>",
"label": "0",
"pub_date": "1880-04-21 00:00:00",
"page_seq_num": "834",
"edition_seq_num": "1",
"batch": "pst_fenske_ver02",
"lccn": "sn84026497",
"box": "[0.649412214756012, 0.6045778393745422, 0.8002520799636841, 0.7152365446090698]",
"score": "0.9609346985816956",
"ocr": "H. II. IIASLKT & SOXN, Dealers in General Merchandise In New Store Room nt HASLET'S COS ITERS, 'JTionoMtii, ln. .Tau'y 1st, 1?0.",
"place_of_publication": "Tionesta, Pa.",
"geographic_coverage": "['Pennsylvania--Forest--Tionesta']",
"name": "The Forest Republican. [volume]",
"publisher": "Ed. W. Smiley",
"url": "https://news-navigator.labs.loc.gov/data/pst_fenske_ver02/data/sn84026497/00280776129/1880042101/0834/002_6_96.jpg",
"page_url": "https://chroniclingamerica.loc.gov/data/batches/pst_fenske_ver02/data/sn84026497/00280776129/1880042101/0834.jp2"
}
```
<!-- [[[end]]] -->

<!-- [[[cog
from auto_dataset_card.core import generate_label_breakdown_tables, get_label_counts
ds = load_dataset("davanstrien/test_dataset_cogapp")
data = get_label_counts(ds)
cog.out(
f"""
# Label breakdowns \n
```
{data}
```
""")
]]] -->

# Label breakdowns

```
{'train': {'text-only': 376, 'illustrations': 173}}
```
<!-- [[[end]]] -->

<!-- [[[cog
from auto_dataset_card.core import generate_label_breakdown_tables, get_label_counts
ds = load_dataset("davanstrien/test_dataset_cogapp")
data = get_label_counts(ds)
tables = generate_label_breakdown_tables(data)
split = tables[0][0]
table = tables[0][1]
cog.out(
f"""
# Label breakdown table for split: {split} \n
{table}
""")
]]] -->

# Label breakdown table for split: train

| Label | Count | Percentage |
|---------------|---------|--------------|
| text-only | 376 | 68.49% |
| illustrations | 173 | 31.51% |
<!-- [[[end]]] -->

原始信息汇总

数据集概述

数据集特征

• file: 字符串类型
• image: 图像类型
• label: 分类标签，包含两个类别：
  • 0: text-only
  • 1: illustrations
• pub_date: 时间戳类型，单位为纳秒
• page_seq_num: 整数类型
• edition_seq_num: 整数类型
• batch: 字符串类型
• lccn: 字符串类型
• box: 序列类型，浮点数
• score: 浮点数类型
• ocr: 字符串类型
• place_of_publication: 字符串类型
• geographic_coverage: 字符串类型
• name: 字符串类型
• publisher: 字符串类型
• url: 字符串类型
• page_url: 字符串类型

数据集划分

• train:
  • 数据量: 48233952 字节
  • 样本数: 549

标签分布

• train 数据集的标签分布如下：
  • text-only: 376 (68.49%)
  • illustrations: 173 (31.51%)