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	Update universe details spacy_conll (#5871)
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					@ -1795,26 +1795,33 @@
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        {
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					        {
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            "id": "spacy-conll",
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					            "id": "spacy-conll",
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            "title": "spacy_conll",
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					            "title": "spacy_conll",
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            "slogan": "Parse text with spaCy and gets its output in CoNLL-U format",
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					            "slogan": "Parsing to CoNLL with spaCy, spacy-stanza, and spacy-udpipe",
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            "description": "This module allows you to parse a text to CoNLL-U format. It contains a pipeline component for spaCy that adds CoNLL-U properties to a Doc and its sentences. It can also be used as a command-line tool.",
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					            "description": "This module allows you to parse text into CoNLL-U format. You can use it as a command line tool, or embed it in your own scripts by adding it as a custom pipeline component to a spaCy, spacy-stanfordnlp, spacy-stanza, or spacy-udpipe pipeline. It also provides an easy-to-use function to quickly initialize a parser. CoNLL-related properties are added to Doc elements, sentence Spans, and Tokens.",
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            "code_example": [
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					            "code_example": [
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                "import spacy",
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					                "from spacy_conll import init_parser",
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                "from spacy_conll import ConllFormatter",
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                "",
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					                "",
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                "nlp = spacy.load('en')",
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					                "",
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                "conllformatter = ConllFormatter(nlp)",
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					                "# Initialise English parser, already including the ConllFormatter as a pipeline component.",
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                "nlp.add_pipe(conllformatter, after='parser')",
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					                "# Indicate that we want to get the CoNLL headers in the string output.",
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                "doc = nlp('I like cookies. Do you?')",
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					                "# `use_gpu` and `verbose` are specific to stanza (and stanfordnlp). These keywords arguments",
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                "conll = doc._.conll",
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					                "# are passed onto their Pipeline() initialisation",
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                "print(doc._.conll_str_headers)",
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					                "nlp = init_parser(\"stanza\",",
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                "print(doc._.conll_str)"
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					                "                  \"en\",",
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					                "                  parser_opts={\"use_gpu\": True, \"verbose\": False},",
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					                "                  include_headers=True)",
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					                "# Parse a given string",
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					                "doc = nlp(\"A cookie is a baked or cooked food that is typically small, flat and sweet. It usually contains flour, sugar and some type of oil or fat.\")",
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					                "",
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					                "# Get the CoNLL representation of the whole document, including headers",
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					                "conll = doc._.conll_str",
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					                "print(conll)"
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            ],
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					            ],
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            "code_language": "python",
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					            "code_language": "python",
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            "author": "Bram Vanroy",
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					            "author": "Bram Vanroy",
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            "author_links": {
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					            "author_links": {
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                "github": "BramVanroy",
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					                "github": "BramVanroy",
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                "twitter": "BramVanroy",
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					                "twitter": "BramVanroy",
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                "website": "https://bramvanroy.be"
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					                "website": "http://bramvanroy.be"
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            },
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					            },
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            "github": "BramVanroy/spacy_conll",
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					            "github": "BramVanroy/spacy_conll",
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            "category": ["standalone", "pipeline"],
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					            "category": ["standalone", "pipeline"],
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