Fix running issues. #6
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| @@ -23,7 +23,8 @@ def get_collection(self, ): | |||
| temp_address = root+"/"+directory+"/" | |||
| if not os.path.isdir(temp_address): | |||
| continue | |||
| temp_address = temp_address +"/Articles" | |||
| if os.path.exists(temp_address + "/Articles"): | |||
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looks like this one / might be too much here (or at the end of the temp_address = root+"/"+directory+"/" line) since together they convert to temp_address//Articles and there is an error when running python3 tangent_cft_front_end.py -ds "/NTCIR12_MathIR_WikiCorpus_v2.1.0/MathTagArticles" ...
| ```sh | ||
| for x in *.tar.bz2; do echo $x; tar xjf $x; done | ||
| ``` | ||
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| Also one can easily use anydataset, such as [Math Stach Exchange] (https://math.stackexchange.com/), in form of csv file of latex formula and formula ids (separated by $$ sign) to train a new model. |
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It could be helpfull to provide either a more specific link to the mentioned dataset or any example of such .csv file.
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what I have mentioned is refering the link above: https://www.cs.rit.edu/~rlaz/NTCIR-12_MathIR_Wikipedia_Corpus.zip
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related to issue #5