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spaCy
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Fix universe.json and auto-format [ci skip]

This commit is contained in:
Ines Montani 2021-06-14 10:18:06 +10:00
parent f4008bdb13
commit 7f0f674a1b
1 changed files with 18 additions and 18 deletions
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36
website/meta/universe.json
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@ -14,14 +14,14 @@
"client.entities('John Doe is a Go Developer at Google')", "client.entities('John Doe is a Go Developer at Google')",
"# [{'end': 8, 'start': 0, 'text': 'John Doe', 'type': 'PERSON'}, {'end': 25, 'start': 13, 'text': 'Go Developer', 'type': 'POSITION'}, {'end': 35,'start': 30, 'text': 'Google', 'type': 'ORG'}]" "# [{'end': 8, 'start': 0, 'text': 'John Doe', 'type': 'PERSON'}, {'end': 25, 'start': 13, 'text': 'Go Developer', 'type': 'POSITION'}, {'end': 35,'start': 30, 'text': 'Google', 'type': 'ORG'}]"
], ],
"thumb":"https://avatars.githubusercontent.com/u/77671902", "thumb": "https://avatars.githubusercontent.com/u/77671902",
"image":"https://nlpcloud.io/assets/images/logo.svg", "image": "https://nlpcloud.io/assets/images/logo.svg",
"code_language": "python", "code_language": "python",
"author": "NLPCloud.io", "author": "NLPCloud.io",
"author_links": { "author_links": {
"github": "nlpcloud", "github": "nlpcloud",
"twitter": "cloud_nlp", "twitter": "cloud_nlp",
"website": "https://nlpcloud.io" "website": "https://nlpcloud.io"
}, },
"category": ["apis", "nonpython", "standalone"], "category": ["apis", "nonpython", "standalone"],
"tags": ["api", "deploy", "production"] "tags": ["api", "deploy", "production"]
@ -42,17 +42,17 @@
"print(doc._.person_name)", "print(doc._.person_name)",
"# ['Meghana S.R Bhange', 'Asha']" "# ['Meghana S.R Bhange', 'Asha']"
], ],
"thumb":"https://i.ibb.co/jwGVWPZ/rainbow-bohemian-logo-removebg-preview.png", "thumb": "https://i.ibb.co/jwGVWPZ/rainbow-bohemian-logo-removebg-preview.png",
"code_language": "python", "code_language": "python",
"author": "Meghana Bhange", "author": "Meghana Bhange",
"author_links": { "author_links": {
"github": "meghanabhange", "github": "meghanabhange",
"twitter": "_aspiringcat" "twitter": "_aspiringcat"
}, },
"category": ["standalone"], "category": ["standalone"],
"tags": ["person-name-detection"] "tags": ["person-name-detection"]
}, },
{ {
"id": "eMFDscore", "id": "eMFDscore",
"title": "eMFDscore : Extended Moral Foundation Dictionary Scoring for Python", "title": "eMFDscore : Extended Moral Foundation Dictionary Scoring for Python",
"slogan": "Extended Moral Foundation Dictionary Scoring for Python", "slogan": "Extended Moral Foundation Dictionary Scoring for Python",
@ -65,20 +65,20 @@
"DICT_TYPE = 'emfd'", "DICT_TYPE = 'emfd'",
"PROB_MAP = 'single'", "PROB_MAP = 'single'",
"SCORE_METHOD = 'bow'", "SCORE_METHOD = 'bow'",
"OUT_METRICS = 'vice-virtue'", "OUT_METRICS = 'vice-virtue'",
"OUT_CSV_PATH = 'single-vv.csv'", "OUT_CSV_PATH = 'single-vv.csv'",
"df = score_docs(template_input,DICT_TYPE,PROB_MAP,SCORE_METHOD,OUT_METRICS,num_docs)", "df = score_docs(template_input,DICT_TYPE,PROB_MAP,SCORE_METHOD,OUT_METRICS,num_docs)"
], ],
"code_language": "python", "code_language": "python",
"author": "Media Neuroscience Lab", "author": "Media Neuroscience Lab",
"author_links": { "author_links": {
"github": "medianeuroscience", "github": "medianeuroscience",
"twitter": "medianeuro" "twitter": "medianeuro"
}, },
"category": ["research", "teaching"], "category": ["research", "teaching"],
"tags": ["morality", "dictionary", "sentiment"] "tags": ["morality", "dictionary", "sentiment"]
}, },
{ {
"id": "skweak", "id": "skweak",
"title": "skweak", "title": "skweak",
"slogan": "Weak supervision for NLP", "slogan": "Weak supervision for NLP",
@ -2087,9 +2087,9 @@
"", "",
"# Load an spacy model (supported models are \"es\" and \"en\") ", "# Load an spacy model (supported models are \"es\" and \"en\") ",
"nlp = spacy.load('en')", "nlp = spacy.load('en')",
"# Spacy 3.x", "# Spacy 3.x",
"nlp.add_pipe(\"spacy_wordnet\", after='tagger', config={'lang': nlp.lang})", "nlp.add_pipe(\"spacy_wordnet\", after='tagger', config={'lang': nlp.lang})",
"# Spacy 2.x", "# Spacy 2.x",
"# nlp.add_pipe(WordnetAnnotator(nlp.lang), after='tagger')", "# nlp.add_pipe(WordnetAnnotator(nlp.lang), after='tagger')",
"token = nlp('prices')[0]", "token = nlp('prices')[0]",
"", "",