Hi, thanks for the great dataset. If I understand correctly, the plots are generated using some python code (e.g., matplotlib). Could you please also provide the code that renders the plots? Thanks!

Hi,

I do not see the license for the repository and the data. Let me know what the license is. If you don't have a specific one in mind, I suggest using the MIT license (https://github.com/git/git-scm.com/blob/main/MIT-LICENSE.txt).

Thanks,

Exception in thread "main" java.lang.NumberFormatException: For input string: "tables.lambdadcs.LambdaDCSExecutor"
at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
at java.lang.Integer.parseInt(Integer.java:580)
at java.lang.Integer.parseInt(Integer.java:615)
at fig.basic.OptInfo.interpretValue(OptionsParser.java:155)
at fig.basic.OptInfo.set(OptionsParser.java:344)
at fig.basic.OptionsParser.parse(OptionsParser.java:771)
at fig.exec.Execution.init(Execution.java:212)
at fig.exec.Execution.runWithObjArray(Execution.java:330)
at fig.exec.Execution.run(Execution.java:325)
at edu.stanford.nlp.sempre.Main.main(Main.java:50)

How can I solve the problem ？I look forward to hearing from you

I am trying to run inference in the PlotQA pipeline, and in the OCR stage, I am trying to transform the detection files (in the format of CLASS_LABEL CLASS_CONFIDENCE XMIN YMIN XMAX YMAX) into .csv files, using the scripts given in the pipeline. The main script is the ocr_and_sie.py. The problem is that this script returns wrong texts.

After trying to underestand the problem, I found out that the doOCR function (in ocr_and_sie.py file) is responsible for returning wrong strings to put in the CSV, although i don't know why.

Here are some examples of wrong text it returns: )ear, RVHE’IJT‘ 1‘1 and DPUIIIi'pt‘fiwtfl, and so on...

If anyone could help me with this issue I would be very thankful.

I need the fixed vocabulary to do classification, but I didn't find it.
Where is the fixed vocabulary or how to construct one?