Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Update README.md
Browse files
README.md
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@@ -118,7 +118,7 @@ Guidelines also contains a range of technical and conversational vocabulary with
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PDF documents were converted to text using [GROBID](https://github.com/kermitt2/grobid).
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After extracting the raw text from each source, we cleaned data with an ad-hoc process to exclude irrelevant or repetitive content that did not contribute to the textual content, such as URLs, references, figures, table delimiters, and ill-formatted characters.
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This filtering procedure was performed differently for each source using a sample of 50 articles. Please note that this procedure is not perfect, as it may have removed useful information or kept superfluous content. We provide the `raw_text` for each article if you would like to perform your own cleaning step.
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Additionally, the text was standardized to a unified format with hierarchical section headers indicated by
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Finally, all samples were deduplicated using title matching, and articles that were too short or not English were filtered out.
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#### Who are the source data producers?
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PDF documents were converted to text using [GROBID](https://github.com/kermitt2/grobid).
|
119 |
After extracting the raw text from each source, we cleaned data with an ad-hoc process to exclude irrelevant or repetitive content that did not contribute to the textual content, such as URLs, references, figures, table delimiters, and ill-formatted characters.
|
120 |
This filtering procedure was performed differently for each source using a sample of 50 articles. Please note that this procedure is not perfect, as it may have removed useful information or kept superfluous content. We provide the `raw_text` for each article if you would like to perform your own cleaning step.
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Additionally, the text was standardized to a unified format with hierarchical section headers indicated by `'#'`, homogenous spacing `'\n\n'` separating paragraphs, and normalized lists formatted with `'- '` bullet points.
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Finally, all samples were deduplicated using title matching, and articles that were too short or not English were filtered out.
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#### Who are the source data producers?
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