{
    "info": {
        "author": "Vit Novotny",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.4",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Text Processing :: Markup :: XML"
        ],
        "description": "NTCIR-10 Math Converter \u2013 Converts NTCIR-10 Math datasets, and judgements into NTCIR-11 and NTCIR-12 format\n===========================================================================================================\n[![CircleCI](https://circleci.com/gh/MIR-MU/ntcir10-math-converter/tree/master.svg?style=shield)][ci]\n\n [ci]: https://circleci.com/gh/MIR-MU/ntcir10-math-converter/tree/master (CircleCI)\n\nThe retrieval unit in the [NTCIR-10 Math][aizawaetal13-ntcir10] task\n[dataset][ntcir-10-math-data] is an arXiv document and the judgement unit in\nthe [relevance judgements][ntcir-task-data] is an XML element.  On the other\nhand, the retrieval and judgement units in the [NTCIR-11\nMath-2][aizawaetal14-ntcir11], and [NTCIR-12 MathIR][zanibbi16-ntcir12] task\n[dataset][ntcir-12-mathir-data], and [relevance judgements][ntcir-task-data] is\nan arXiv document paragraph.  This makes it difficult to use both datasets\ntogether in a single evaluation.\n\nNTCIR Math converter is a Python 3 command-line utility that converts the\nNTCIR-10 Math XHTML5 dataset and relevance judgements to the NTCIR-11 Math-2,\nand NTCIR-12 MathIR XHTML5 format by splitting the dataset into paragraphs and\nredirecting the relevance judgements from elements to their ancestral\nparagraphs. As a result, the NTCIR-10 Math dataset, and relevance judgements\ncan be easily used together with the NTCIR-11 Math-2, and NTCIR-12 MathIR\ndataset, and relevance judgements in a single workflow.\n\n[aizawaetal13-ntcir10]: https://ntcir-math.nii.ac.jp/wp-content/blogs.dir/23/files/2013/10/01-NTCIR10-OV-MATH-AizawaA.pdf (NTCIR-10 Math Pilot Task Overview)\n[aizawaetal14-ntcir11]: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.686.444&rep=rep1&type=pdf (NTCIR-11 Math-2 Task Overview)\n[ntcir-task-data]: https://www.nii.ac.jp/dsc/idr/en/ntcir/ntcir-taskdata.html (Downloading NTCIR Test Collections Task Data)\n[ntcir-10-math-data]: https://ntcir-math.nii.ac.jp/data/ (NTCIR-12 MathIR \u00bb Data \u00bb NTCIR-10 Math Pilot Task)\n[ntcir-12-mathir-data]: https://ntcir-math.nii.ac.jp/data/ (NTCIR-12 MathIR \u00bb Data \u00bb NTCIR-12 MathIR Task)\n[zanibbi16-ntcir12]: https://research.nii.ac.jp/ntcir/workshop/OnlineProceedings12/pdf/ntcir/OVERVIEW/01-NTCIR12-OV-MathIR-ZanibbiR.pdf (NTCIR-12 MathIR Task Overview)\n\nUsage\n=====\nInstalling\n----------\nThe package can be installed by executing the following command:\nInstalling:\n\n    $ pip install ntcir10-math-converter\n\nDisplaying the usage\n--------------------\nUsage information for the package can be displayed by executing the following\ncommand:\n\n    $ ntcir10-math-converter --help\n    usage: ntcir10-math-converter [-h] --dataset DATASET [DATASET ...]\n                                  [--judgements JUDGEMENTS [JUDGEMENTS ...]]\n                                  [--num-workers NUM_WORKERS]\n\n    Convert NTCIR-10 Math XHTML5 dataset and relevance judgements to the NTCIR-11\n    Math-2, and NTCIR-12 MathIR XHTML5 format.\n\n    optional arguments:\n      -h, --help            show this help message and exit\n      --dataset DATASET [DATASET ...]\n                            A path to a directory containing the NTCIR-10 Math\n                            XHTML5 dataset, and a path to a non-existent directory\n                            that will contain resulting dataset in the NTCIR-11\n                            Math-2, and NTCIR-12 MathIR XHTML5 format. If only the\n                            path to the NTCIR-10 Math dataset is specified, the\n                            dataset will be read to find out the mapping between\n                            element identifiers, and paragraph identifiers. This\n                            is required for converting the relevance judgements.\n      --judgements JUDGEMENTS [JUDGEMENTS ...]\n                            Paths to the files containing NTCIR-10 Math relevance\n                            judgements (odd arguments), followed by paths to the\n                            files that will contain resulting relevance judgements\n                            in the NTCIR-11 Math-2, and NTCIR-12 MathIR format\n                            (even arguments).\n      --num-workers NUM_WORKERS\n                            The number of processes that will be used for\n                            processing the NTCIR-10 Math dataset. Defaults to 1.\n\nConverting a dataset, and relevance judgements\n----------------------------------------------\nThe following command converts both a dataset, and relevance judgements using\n64 worker processes:\n\n    $ ntcir10-math-converter --num-workers 64 \\\n    >     --dataset ntcir-10 ntcir-10-converted \\\n    >     --judgements \\\n    >         NTCIR_10_Math-qrels_ft.dat NTCIR_10_Math-qrels_ft-converted.dat \\\n    >         NTCIR_10_Math-qrels_fs.dat NTCIR_10_Math-qrels_fs-converted.dat\n    Retrieving judged document names, and element identifiers from NTCIR_10_Math-qrels_ft.dat\n    100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1425/1425 [00:00<00:00, 9634.03it/s]\n    Retrieving judged document names, and element identifiers from NTCIR_10_Math-qrels_fs.dat\n    100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2129/2129 [00:00<00:00, 9671.33it/s]\n    Processing dataset ntcir-10\n    Converting dataset ntcir-10 -> ntcir-10-converted/xhtml5\n    Building a mapping between element identifiers, and paragraph identifiers\n    100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 100000/100000 [06:45<00:00, 246.50it/s]\n    Converting relevance judgements NTCIR_10_Math-qrels_ft.dat -> NTCIR_10_Math-qrels_ft-converted.dat\n    Skipping identifier f080935#idp57072, as it appears outside a paragraph\n    Skipping identifier f039264#id60072, as it appears outside a paragraph\n    Skipping identifier f059698#id58538, as it appears outside a paragraph\n    ...\n    Skipping identifier f023353#idp65840, as it appears outside a paragraph\n    Skipping identifier f048268#id53551, as it appears outside a paragraph\n    100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1425/1425 [00:00<00:00, 252199.81it/s]\n    1425 / 1394 input / output relevance judgements\n    Converting relevance judgements NTCIR_10_Math-qrels_fs.dat -> NTCIR_10_Math-qrels_fs-converted.dat\n    Skipping identifier f095981#id72919, as it appears outside a paragraph\n    Skipping identifier f061190#id56357, as it appears outside a paragraph\n    Skipping identifier f033738#id116089, as it appears outside a paragraph\n    ...\n    Skipping identifier f019052#id54515, as it appears outside a paragraph\n    Skipping identifier f021845#id53581, as it appears outside a paragraph\n    100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2129/2129 [00:00<00:00, 291048.96it/s]\n    2129 / 2076 input / output relevance judgements\n\nConverting only a dataset using 64 worker processes:\n\n    $ ntcir10-math-converter --num-workers 64 \\\n    >     --dataset ntcir-10 ntcir-10-converted\n    Processing dataset ntcir-10\n    Converting dataset ntcir-10 -> ntcir-10-converted/xhtml5\n    100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 100000/100000 [07:34<00:00, 220.10it/s]\n\nThe following command converts only relevance judgements using 64 worker\nprocesses:\n\n    $ ntcir10-math-converter --num-workers 64 \\\n    >     --dataset ntcir-10 \\\n    >     --judgements \\\n    >         NTCIR_10_Math-qrels_ft.dat NTCIR_10_Math-qrels_ft-converted.dat \\\n    >         NTCIR_10_Math-qrels_fs.dat NTCIR_10_Math-qrels_fs-converted.dat\n    Retrieving judged document names, and element identifiers from NTCIR_10_Math-qrels_ft.dat\n    100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1425/1425 [00:00<00:00, 9539.55it/s]\n    Retrieving judged document names, and element identifiers from NTCIR_10_Math-qrels_fs.dat\n    100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2129/2129 [00:00<00:00, 9332.81it/s]\n    Processing dataset ntcir-10\n    Building a mapping between element identifiers, and paragraph identifiers\n    100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2405/2405 [00:16<00:00, 144.41it/s]\n    Converting relevance judgements NTCIR_10_Math-qrels_ft.dat -> NTCIR_10_Math-qrels_ft-converted.dat\n    Skipping identifier f080935#idp57072, as it appears outside a paragraph\n    Skipping identifier f039264#id60072, as it appears outside a paragraph\n    Skipping identifier f059698#id58538, as it appears outside a paragraph\n    ...\n    Skipping identifier f023353#idp65840, as it appears outside a paragraph\n    Skipping identifier f048268#id53551, as it appears outside a paragraph\n    100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1425/1425 [00:00<00:00, 252199.81it/s]\n    1425 / 1394 input / output relevance judgements\n    Converting relevance judgements NTCIR_10_Math-qrels_fs.dat -> NTCIR_10_Math-qrels_fs-converted.dat\n    Skipping identifier f095981#id72919, as it appears outside a paragraph\n    Skipping identifier f061190#id56357, as it appears outside a paragraph\n    Skipping identifier f033738#id116089, as it appears outside a paragraph\n    ...\n    Skipping identifier f019052#id54515, as it appears outside a paragraph\n    Skipping identifier f021845#id53581, as it appears outside a paragraph\n    100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2129/2129 [00:00<00:00, 291048.96it/s]\n    2129 / 2076 input / output relevance judgements\n\n\n",
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