README.md

---
dataset_info:
- config_name: '1640'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 254777
    num_examples: 3509
  download_size: 114173
  dataset_size: 254777
- config_name: '1650'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 31314
    num_examples: 412
  download_size: 15122
  dataset_size: 31314
- config_name: '1660'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 56559
    num_examples: 726
  download_size: 25941
  dataset_size: 56559
- config_name: '1670'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 15093
    num_examples: 188
  download_size: 8153
  dataset_size: 15093
- config_name: '1680'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 1290089
    num_examples: 17458
  download_size: 609438
  dataset_size: 1290089
- config_name: '1690'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 2977705
    num_examples: 42333
  download_size: 1355778
  dataset_size: 2977705
- config_name: '1700'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 3800917
    num_examples: 53331
  download_size: 1702603
  dataset_size: 3800917
- config_name: '1710'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 1601983
    num_examples: 22763
  download_size: 733219
  dataset_size: 1601983
- config_name: '1720'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 2268261
    num_examples: 32813
  download_size: 1012144
  dataset_size: 2268261
- config_name: '1730'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 5498116
    num_examples: 79079
  download_size: 2515986
  dataset_size: 5498116
- config_name: '1740'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 10147602
    num_examples: 149317
  download_size: 4572359
  dataset_size: 10147602
- config_name: '1750'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 14183279
    num_examples: 212000
  download_size: 6235076
  dataset_size: 14183279
- config_name: '1760'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 34039377
    num_examples: 545759
  download_size: 15159865
  dataset_size: 34039377
- config_name: '1770'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 89191958
    num_examples: 1333609
  download_size: 39582304
  dataset_size: 89191958
- config_name: '1780'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 136703541
    num_examples: 2015223
  download_size: 60960878
  dataset_size: 136703541
- config_name: '1790'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 163823087
    num_examples: 2435714
  download_size: 72860792
  dataset_size: 163823087
- config_name: '1800'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 220361417
    num_examples: 3368887
  download_size: 98935407
  dataset_size: 220361417
- config_name: '1810'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 263830012
    num_examples: 4205776
  download_size: 122219730
  dataset_size: 263830012
- config_name: '1820'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 395727486
    num_examples: 6265710
  download_size: 175240370
  dataset_size: 395727486
- config_name: '1830'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 580725783
    num_examples: 9355635
  download_size: 254403662
  dataset_size: 580725783
- config_name: '1840'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 898420001
    num_examples: 14051720
  download_size: 381018147
  dataset_size: 898420001
- config_name: '1850'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 1354049159
    num_examples: 21187511
  download_size: 570228565
  dataset_size: 1354049159
- config_name: '1860'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 2512543535
    num_examples: 39321823
  download_size: 1046916115
  dataset_size: 2512543535
- config_name: '1870'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 3383836222
    num_examples: 53045312
  download_size: 1399880807
  dataset_size: 3383836222
- config_name: '1880'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 4501878144
    num_examples: 72015436
  download_size: 1827179641
  dataset_size: 4501878144
- config_name: '1890'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 3219902112
    num_examples: 52337279
  download_size: 1315107645
  dataset_size: 3219902112
- config_name: '1900'
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 205822484
    num_examples: 3284826
  download_size: 84811326
  dataset_size: 205822484
- config_name: all
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 7999426267
    num_examples: 124880138
  download_size: 7483375536
  dataset_size: 7999426267
license: cc-by-sa-4.0
task_categories:
- text-generation
language:
- sv
tags:
- newspapers
- historical
size_categories:
- 1B<n<10B
---

# kubhist2

## Dataset Description

- **Homepage: https://changeiskey.org** 
- **Repository: https://github.com/ChangeIsKey/kubhist2** 
- **Point of Contact: Simon Hengchen / iguanodon.ai** 


### Dataset Summary

This is a version of the Kubhist 2 dataset originally created, curated and made available by Språkbanken Text (SBX) at the University of Gothenburg (Sweden) under the CC BY 4.0 license. 
This is a a corpus of OCRed newspapers from Sweden spanning the 1640s to the 1900s.
The original data is available with many types of annotation in XML at https://spraakbanken.gu.se/en/resources/kubhist2. 
A good description of the original data is available in this blog entry by Dana Dannélls: https://spraakbanken.gu.se/blogg/index.php/2019/09/15/the-kubhist-corpus-of-swedish-newspapers/.

If you use this dataset for academic research, cite it using the provided citation information at the bottom of this page.

In a nutshell, this hugginface dataset version offers:
- only the OCRed text
- available in decadal subsets
- one line per sentence, sentences shorter than 4 words were discarded

In total this dataset contains 2,819,065,590 tokens. A distribution of tokens per decade is available below.

License is CC BY 4.0 ShareAlike.

```bash
(env) simon@terminus:/mnt/user/cik/kubhist2 wc -w text/*/*.txt
      39348 text/1640/1640.txt
       4700 text/1650/1650.txt
       8524 text/1660/1660.txt
       2396 text/1670/1670.txt
     199670 text/1680/1680.txt
     487943 text/1690/1690.txt
     619884 text/1700/1700.txt
     265930 text/1710/1710.txt
     355759 text/1720/1720.txt
     856218 text/1730/1730.txt
    1589508 text/1740/1740.txt
    2211316 text/1750/1750.txt
    5496545 text/1760/1760.txt
   14434932 text/1770/1770.txt
   22366170 text/1780/1780.txt
   26768856 text/1790/1790.txt
   36225842 text/1800/1800.txt
   44510588 text/1810/1810.txt
   65571094 text/1820/1820.txt
   95359730 text/1830/1830.txt
  143992956 text/1840/1840.txt
  214538699 text/1850/1850.txt
  392672066 text/1860/1860.txt
  524802728 text/1870/1870.txt
  695859650 text/1880/1880.txt
  498244203 text/1890/1890.txt
   31580335 text/1900/1900.txt
 2819065590 total

```


### Languages

Swedish (nysvenska)

## Dataset Structure

One feature: `text`.


Load the whole corpus using 
```python
dataset = load_dataset("ChangeIsKey/kubhist2")
```
or a decadal subset using 
```python
dataset = load_dataset("ChangeIsKey/kubhist2", "decade")
```
The `decade` must be a string, valid values are within `range(1640, 1910, 10)`.

You can combine several decades using `concatenate_datasets` like this:

```python
from datasets import load_dataset, concatenate_datasets

ds_1800 = load_dataset("ChangeIsKey/kubhist2", "1800")
ds_1810 = load_dataset("ChangeIsKey/kubhist2", "1810")
ds_1820 = load_dataset("ChangeIsKey/kubhist2", "1820")

ds_1800_1820 = concatenate_datasets([
                        ds_1800["train"],
                        ds_1810["train"],
                        ds_1820["train"]
                        ])
```


### Data Splits

The dataset has only one split, `train`.

## Dataset Creation

### Curation Rationale

The original data is in a highly-annotated XML format not ideally suited for basic NLP tasks such as unsupervised language modeling: information such as page numbers, fonts, etc. is less relevant and has thus been discarded.
Keeping only the running text of the newspaper and removing sentences shorter than 4 words further allows a 150x data size reduction (2.4TB --> 16GB). 

### Source Data

The original data is available with many types of annotation in XML at https://spraakbanken.gu.se/en/resources/kubhist2. 

#### Initial Data Collection and Normalization

See on Språkbanken Text's website.

#### Who are the source language producers?

Språkbanken Text: https://spraakbanken.gu.se/en/

### Personal and Sensitive Information

This is historical newspaper data, with the latest data published in 1909. Everyone mentioned in this dataset was probably already a public figure, and has been dead for a while.

## Considerations for Using the Data

### Discussion of Biases

This is historical data. As such, outdated views might be present in the data.

### Other Known Limitations

The data comes from an OCR process. The text is thus not perfect, especially so in the earlier decades.

## Additional Information

### Dataset Curators

This huggingface version of the data has been created by Simon Hengchen.

### Licensing Information

Creative Commons Attribution Share Alike 4.0: https://creativecommons.org/licenses/by-sa/4.0/

### Citation Information

You should always cite the original kubhist2 release, provided below as bibtex. If you want to additionally refer to this specific version, please also add a link to the huggingface page: https://huggingface.co/datasets/ChangeIsKey/kubhist2. 

```bibtex
@misc{Kubhist2,
  title = {The Kubhist Corpus, v2},
  url = {https://spraakbanken.gu.se/korp/?mode=kubhist},
  author = {Spr{\aa}kbanken},
  year = {Downloaded in 2019}, 
  organization = {Department of Swedish, University of Gothenburg}
}

```

### Acknowledgments

This dataset has been created in the context of the [ChangeIsKey!](https://www.changeiskey.org/) project funded by Riksbankens Jubileumsfond under reference number M21-0021, Change is Key! program.
The compute dedicated to the creation of the dataset has been provided by [iguanodon.ai](https://iguanodon.ai).

Many thanks got to Språkbanken Text for creating and curating this resource.