The code makes edit to the `measure_text_extraction_accuracy` function
to allows dir of txt as well as json. The function also takes input
`output_type` to be either "json" or "txt" only, and checks if the files
under given directory/list contains only specified file type or not.
To test this feature, run the following code:
```PYTHONPATH=. python unstructured/ingest/evaluate.py measure-text-extraction-accuracy-command --output_dir <clean-text-path> --source_dir <cct-label-path> --output_type txt```
The sample docs directory contains the following files:
example-10k.html - A 10-K SEC filing in HTML format
layout-parser-paper.pdf - A PDF copy of the layout parser paper
factbook.xml/factbook.xsl - Example XML/XLS files that you can use to test stylesheets
These documents can be used to test out the parsers in the library. In addition, here are
instructions for pulling in some sample docs that are too big to store in the repo.
XBRL 10-K
You can get an example 10-K in inline XBRL format using the following curl. Note, you need
to have the user agent set in the header or the SEC site will reject your request.
curl -O \
-A '${organization} ${email}'
https://www.sec.gov/Archives/edgar/data/311094/000117184321001344/0001171843-21-001344.txt
You can parse this document using the HTML parser.
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