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@@ -280,4 +280,180 @@ dataset_info:
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  num_examples: 285384149
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  download_size: 7483375536
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  dataset_size: 7999426267
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  num_examples: 285384149
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  download_size: 7483375536
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  dataset_size: 7999426267
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+ license: cc-by-sa-4.0
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+ task_categories:
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+ - text-generation
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+ language:
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+ - sv
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+ tags:
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+ - newspapers
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+ - historical
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+ size_categories:
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+ - 1B<n<10B
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  ---
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+
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+ # kubhist2
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+
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+ ## Dataset Description
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+
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+ - **Homepage: https://changeiskey.org**
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+ - **Repository: https://github.com/ChangeIsKey/kubhist2**
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+ - **Point of Contact: Simon Hengchen / iguanodon.ai**
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+
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+
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+ ### Dataset Summary
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+
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+ 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.
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+ This is a a corpus of OCRed newspapers from Sweden spanning the 1640s to the 1900s.
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+ The original data is available with many types of annotation in XML at https://spraakbanken.gu.se/en/resources/kubhist2.
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+ 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/.
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+
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+ If you use this dataset for academic research, cite it using the provided citation information at the bottom of this page.
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+
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+ In a nutshell, this hugginface dataset version offers:
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+ - only the OCRed text
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+ - available in decadal subsets
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+ - one line per sentence, sentences shorter than 4 words were discarded
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+
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+ In total this dataset contains 2,819,065,590 tokens. A distribution of tokens per decade is available below.
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+
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+ License is CC BY 4.0 ShareAlike.
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+
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+ ```bash
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+ (env) simon@terminus:/mnt/user/cik/kubhist2 wc -w text/*/*.txt
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+ 39348 text/1640/1640.txt
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+ 4700 text/1650/1650.txt
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+ 8524 text/1660/1660.txt
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+ 2396 text/1670/1670.txt
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+ 199670 text/1680/1680.txt
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+ 487943 text/1690/1690.txt
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+ 619884 text/1700/1700.txt
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+ 265930 text/1710/1710.txt
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+ 355759 text/1720/1720.txt
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+ 856218 text/1730/1730.txt
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+ 1589508 text/1740/1740.txt
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+ 2211316 text/1750/1750.txt
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+ 5496545 text/1760/1760.txt
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+ 14434932 text/1770/1770.txt
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+ 22366170 text/1780/1780.txt
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+ 26768856 text/1790/1790.txt
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+ 36225842 text/1800/1800.txt
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+ 44510588 text/1810/1810.txt
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+ 65571094 text/1820/1820.txt
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+ 95359730 text/1830/1830.txt
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+ 143992956 text/1840/1840.txt
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+ 214538699 text/1850/1850.txt
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+ 392672066 text/1860/1860.txt
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+ 524802728 text/1870/1870.txt
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+ 695859650 text/1880/1880.txt
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+ 498244203 text/1890/1890.txt
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+ 31580335 text/1900/1900.txt
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+ 2819065590 total
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+
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+ ```
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+
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+
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+ ### Languages
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+
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+ Swedish (nysvenska)
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+
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+ ## Dataset Structure
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+
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+ One feature: `text`.
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+
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+
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+ Load the whole corpus using
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+ ```python
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+ dataset = load_dataset("ChangeIsKey/kubhist2")
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+ ```
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+ or a decadal subset using
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+ ```python
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+ dataset = load_dataset("ChangeIsKey/kubhist2", "decade")
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+ ```
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+ The `decade` must be a string, valid values are within `range(1640, 1910, 10)`.
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+
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+ You can combine several decades using `concatenate_datasets` like this:
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+
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+ ```python
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+ from datasets import load_dataset, concatenate_datasets
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+
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+ ds_1800 = load_dataset("ChangeIsKey/kubhist2", "1800")
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+ ds_1810 = load_dataset("ChangeIsKey/kubhist2", "1810")
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+ ds_1820 = load_dataset("ChangeIsKey/kubhist2", "1820")
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+
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+ ds_1800_1820 = concatenate_datasets([
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+ ds_1800["train"],
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+ ds_1810["train"],
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+ ds_1820["train"]
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+ ])
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+ ```
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+
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+
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+ ### Data Splits
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+
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+ The dataset has only one split, `train`.
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ 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.
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+ 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).
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+
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+ ### Source Data
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+
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+ The original data is available with many types of annotation in XML at https://spraakbanken.gu.se/en/resources/kubhist2.
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+
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+ #### Initial Data Collection and Normalization
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+
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+ See on Språkbanken Text's website.
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+
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+ #### Who are the source language producers?
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+
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+ Språkbanken Text: https://spraakbanken.gu.se/en/
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+
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+ ### Personal and Sensitive Information
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+
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+ 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.
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+
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+ ## Considerations for Using the Data
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+
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+ ### Discussion of Biases
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+
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+ This is historical data. As such, outdated views might be present in the data.
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+
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+ ### Other Known Limitations
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+
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+ The data comes from an OCR process. The text is thus not perfect, especially so in the earlier decades.
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ This huggingface version of the data has been created by Simon Hengchen.
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+
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+ ### Licensing Information
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+
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+ Creative Commons Attribution Share Alike 4.0: https://creativecommons.org/licenses/by-sa/4.0/
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+
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+ ### Citation Information
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+
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+ 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.
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+
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+ ```bibtex
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+ @misc{Kubhist2,
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+ title = {The Kubhist Corpus, v2},
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+ url = {https://spraakbanken.gu.se/korp/?mode=kubhist},
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+ author = {Spr{\aa}kbanken},
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+ year = {Downloaded in 2019},
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+ organization = {Department of Swedish, University of Gothenburg}
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+ }
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+
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+ ```
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+
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+ ### Acknowledgments
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+
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+ 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.
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+ The compute dedicated to the creation of the dataset has been provided by [iguanodon.ai](https://iguanodon.ai).
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+
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+ Many thanks got to Språkbanken Text for creating and curating this resource.