README and new script

README.md

@@ -280,180 +280,4 @@ dataset_info:
     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.

kubhist2.py

@@ -54,7 +54,8 @@ _URLS = {'1640': './text/1640/1640.txt.gz',
         '1870': './text/1870/1870.txt.gz',
         '1880': './text/1880/1880.txt.gz',
         '1890': './text/1890/1890.txt.gz',
-        '1900': './text/1900/1900.txt.gz'
+        '1900': './text/1900/1900.txt.gz',
+        'all': './text/all/all.txt.gz',
         }
 
 
@@ -83,19 +84,12 @@ class kubhist2(datasets.GeneratorBasedBuilder):
         BUILDER_CONFIGS.append(
             kubhist2Config(
             name=key,
-            version=datasets.Version("1.0.1", ""),
+            version=datasets.Version("1.0.2", ""),
             description=f"Kubhist2: {key}",
             period=key,
             )
         )
-    BUILDER_CONFIGS.append(
-            kubhist2Config(
-            name="all",
-            version=datasets.Version("1.0.1", ""),
-            description=f"Kubhist2: all",
-            period="all",
-            )
-        )
+    
     DEFAULT_CONFIG_NAME = "all"
 
     def _info(self):
@@ -113,16 +107,10 @@ class kubhist2(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        if self.config.period != "all":
-            url = {"train" : _URLS[self.config.period]}
-            downloaded_files = dl_manager.download_and_extract(url)
-            return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]})]
+        url = {"train" : _URLS[self.config.period]}
+        downloaded_files = dl_manager.download_and_extract(url)
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]})]
         
-        elif self.config.period == "all":
-            url = {"train" : './text/all/all.txt.gz'}
-            #print(url)
-            downloaded_files = dl_manager.download_and_extract(url)
-            return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]})]
 
     def _generate_examples(self, filepath):
         """Yields examples."""