Datasets:
Tasks:
Text Generation
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
10M - 100M
ArXiv:
DOI:
License:
Adding explanation for the use of `wtf_wikipedia` as parser.
Browse files
data/wikibooks/wikibooks.md
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@@ -85,6 +85,7 @@ To run the `create.py` file you first need to do:
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$ cd parser/ && npm install && cd ..
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```
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## Additional Information
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$ cd parser/ && npm install && cd ..
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```
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+
We chose to use `wtf_wikipedia` because out of the other parsers we tested this was the imperically best one. We tested `mwparserfromhell`, `mediawiki_dump`, `wikiextractor`, and `wtf_wikipedia`. It seemed that the others still produced some sort of artifacts from the parsing of wikicode.
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## Additional Information
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data/wikipedia/wikipedia.md
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@@ -88,6 +88,7 @@ To run the `create.py` file you first need to do:
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$ cd parser/ && npm install && cd ..
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```
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## Additional Information
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$ cd parser/ && npm install && cd ..
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```
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+
We chose to use `wtf_wikipedia` because out of the other parsers we tested this was the imperically best one. We tested `mwparserfromhell`, `mediawiki_dump`, `wikiextractor`, and `wtf_wikipedia`. It seemed that the others still produced some sort of artifacts from the parsing of wikicode.
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## Additional Information
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data/wikisource/wikisource.md
CHANGED
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@@ -84,6 +84,8 @@ To run the `create.py` file you first need to do:
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$ cd parser/ && npm install && cd ..
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```
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## Additional Information
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$ cd parser/ && npm install && cd ..
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```
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+
We chose to use `wtf_wikipedia` because out of the other parsers we tested this was the imperically best one. We tested `mwparserfromhell`, `mediawiki_dump`, `wikiextractor`, and `wtf_wikipedia`. It seemed that the others still produced some sort of artifacts from the parsing of wikicode.
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+
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## Additional Information
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