{
    "info": {
        "author": "Maxwell Forbes",
        "author_email": "mbforbes@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.6"
        ],
        "description": "# textmetrics\n\nAutomatic text metrics---BLEU, ROUGE, and METEOR, plus extras like vocab and\nngrams.\n\n## Usage\n\n```bash\n# Compares each candidate (c) separately against all references (r).\npython -m textmetrics.main c1.txt c2.txt --references r1.txt r2.txt r3.txt\n```\n\n## Installation\n\nRequires:\n- Perl (for BLEU)\n- Java 1.8 (for METEOR)\n- Python 3.6+\n\n```bash\npip install textmetrics\n```\n\n## Features\n\n- [x] BLEU\n- [x] ROUGE\n- [x] METEOR\n\n\n## Notes\n\nBLEU and METEOR use the refernce implementations (in Perl and Java,\nrespectively). We originally used the reference Perl implementation for ROUGE\nas well, but it ran so slowly that we opted for a Python reimplementation\ninstead. (ROUGE's original Perl implementation is also more difficult to setup,\neven with wrapper libraries.)\n\n## Worklist\n\n- [ ] pypi\n\n- [ ] API support\n\n- [ ] ROUGE crashes things if it decides there aren't sentences (e.g., run with\n  README.md as input and reference)\n\n- [ ] Add back in orig ROUGE for completeness (place behind switch)\n\n- [ ] ngrams has divide by zero error. With two simple files (two lines each,\n  same first line, differing second line) running with `2.txt --references\n  1.txt 1.txt` triggered this divide by zero\n\n- [ ] Demo for better README\n\n- [ ] Tests\n\n- [ ] Early check in each module for whether program runnable + nice error\n  message (e.g., no java or bad version, no perl or bad version, etc.)\n\n\nNote to self: I followed this guide for [packaging to\npypi](https://packaging.python.org/tutorials/packaging-projects/), and future\nuploads will probably look like:\n\n```bash\n# (1) ensure tests pass\n\n# (2) bump version in setup.py\n\n# (3) commit + push to github\n\n# (4) generate distribution\npython setup.py sdist bdist_wheel\n\n# (5) Upload\ntwine upload dist/*\n```\n\n\n",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/mbforbes/textmetrics/",
        "keywords": "text-metrics text metrics nlp bleu rouge meteor ngrams vocabulary vocab",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "textmetrics",
        "package_url": "https://pypi.org/project/textmetrics/",
        "platform": "",
        "project_url": "https://pypi.org/project/textmetrics/",
        "project_urls": {
            "Homepage": "https://github.com/mbforbes/textmetrics/"
        },
        "release_url": "https://pypi.org/project/textmetrics/0.0.2/",
        "requires_dist": [
            "mypy-extensions (>=0.3.0)",
            "numpy (>=1.15.0)",
            "rouge (>=0.3.1)",
            "six (>=1.11.0)",
            "tabulate (>=0.8.2)"
        ],
        "requires_python": "",
        "summary": "Automatic text metrics---BLEU, ROUGE, and METEOR, pllus extras like vocab and ngrams.",
        "version": "0.0.2"
    },
    "last_serial": 4142428,
    "releases": {
        "0.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "1d3605f9410b5b2007fb952fd2dae5b4",
                    "sha256": "bc6e7388dc70250cf835d039726fc2ddbcb9485240115b21497d6d03b5cd8a1d"
                },
                "downloads": -1,
                "filename": "textmetrics-0.0.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "1d3605f9410b5b2007fb952fd2dae5b4",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 5973,
                "upload_time": "2018-08-07T01:10:10",
                "url": "https://files.pythonhosted.org/packages/1e/62/0f8a3e41ba7dee4f7f60010a2a7135c24823eb6b3311471f67d9a1ef31cc/textmetrics-0.0.1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "a9fbb47be8a5d0be3ac30f799fbafc94",
                    "sha256": "cfd9eef532f3a5757c14432c0c18cc2e3d55986a4f307c1037fda2e08ac775e6"
                },
                "downloads": -1,
                "filename": "textmetrics-0.0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "a9fbb47be8a5d0be3ac30f799fbafc94",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 5410,
                "upload_time": "2018-08-07T01:10:12",
                "url": "https://files.pythonhosted.org/packages/31/6f/9beef52de034943ed2b437fed6583283bcd0de5941e601c43e005e22e1d0/textmetrics-0.0.1.tar.gz"
            }
        ],
        "0.0.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "37059f43d95e10ce20500777646dc7b4",
                    "sha256": "168ba006c86e92e172672ed85fc08564a50f2f619fd01e47d2b0b720ba7a7bf6"
                },
                "downloads": -1,
                "filename": "textmetrics-0.0.2-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "37059f43d95e10ce20500777646dc7b4",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 12641,
                "upload_time": "2018-08-07T01:34:30",
                "url": "https://files.pythonhosted.org/packages/4c/64/759abdb8a35bd8fd1314cb234b29841c42077ac37d1048a7639745d69a15/textmetrics-0.0.2-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "94e3452ddb99c28ad5580281d8f899d1",
                    "sha256": "f54fcccf3eb569c199969af5e006aaa2f8207ef08182f62acd954e068af92420"
                },
                "downloads": -1,
                "filename": "textmetrics-0.0.2.tar.gz",
                "has_sig": false,
                "md5_digest": "94e3452ddb99c28ad5580281d8f899d1",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 9129,
                "upload_time": "2018-08-07T01:34:32",
                "url": "https://files.pythonhosted.org/packages/86/04/7e68be0a76283471cf71a7ebb76a34ecbbcb7a729aab3a773540732b4e4e/textmetrics-0.0.2.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "37059f43d95e10ce20500777646dc7b4",
                "sha256": "168ba006c86e92e172672ed85fc08564a50f2f619fd01e47d2b0b720ba7a7bf6"
            },
            "downloads": -1,
            "filename": "textmetrics-0.0.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "37059f43d95e10ce20500777646dc7b4",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 12641,
            "upload_time": "2018-08-07T01:34:30",
            "url": "https://files.pythonhosted.org/packages/4c/64/759abdb8a35bd8fd1314cb234b29841c42077ac37d1048a7639745d69a15/textmetrics-0.0.2-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "94e3452ddb99c28ad5580281d8f899d1",
                "sha256": "f54fcccf3eb569c199969af5e006aaa2f8207ef08182f62acd954e068af92420"
            },
            "downloads": -1,
            "filename": "textmetrics-0.0.2.tar.gz",
            "has_sig": false,
            "md5_digest": "94e3452ddb99c28ad5580281d8f899d1",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 9129,
            "upload_time": "2018-08-07T01:34:32",
            "url": "https://files.pythonhosted.org/packages/86/04/7e68be0a76283471cf71a7ebb76a34ecbbcb7a729aab3a773540732b4e4e/textmetrics-0.0.2.tar.gz"
        }
    ]
}