Updated license

README.md

@@ -4,7 +4,7 @@ tags:
 - token-classification
 language:
 - da
-license: apache-2.0-license
+license: apache-2.0
 model-index:
 - name: da_dacy_medium_trf
   results:
@@ -65,6 +65,7 @@ model-index:
       value: 0.9885462555
 ---
 
+
 <a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
 
 # DaCy medium

meta.json

@@ -1,25 +1,23 @@
 {
-  "lang":"da",
-  "name":"dacy_medium_trf",
-  "version":"0.2.0",
-  "description":"\n<a href=\"https://github.com/centre-for-humanities-computing/Dacy\"><img src=\"https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png\" width=\"175\" height=\"175\" align=\"right\" /></a>\n\n# DaCy medium\n\nDaCy is a Danish language processing framework with state-of-the-art pipelines as well as functionality for analysing Danish pipelines.\nDaCy's largest pipeline has achieved State-of-the-Art performance on parts-of-speech tagging and dependency \nparsing for Danish on the DaNE dataset. To read more check out the [DaCy repository](https://github.com/centre-for-humanities-computing/DaCy) for material on how to use DaCy and reproduce the results. \nDaCy also contains guides on usage of the package as well as behavioural test for biases and robustness of Danish NLP pipelines.\n",
-  "author":"Kenneth Enevoldsen",
-  "email":"Kenneth.enevoldsen@cas.au.dk",
-  "url":"https://chcaa.io/#/",
-  "license":"Apache-2.0 License",
-  "spacy_version":">=3.5.2,<3.6.0",
-  "spacy_git_version":"Unknown",
-  "vectors":{
-    "width":0,
-    "vectors":0,
-    "keys":0,
-    "name":null
+  "lang": "da",
+  "name": "dacy_medium_trf",
+  "version": "0.2.0",
+  "description": "\n<a href=\"https://github.com/centre-for-humanities-computing/Dacy\"><img src=\"https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png\" width=\"175\" height=\"175\" align=\"right\" /></a>\n\n# DaCy medium\n\nDaCy is a Danish language processing framework with state-of-the-art pipelines as well as functionality for analysing Danish pipelines.\nDaCy's largest pipeline has achieved State-of-the-Art performance on parts-of-speech tagging and dependency \nparsing for Danish on the DaNE dataset. To read more check out the [DaCy repository](https://github.com/centre-for-humanities-computing/DaCy) for material on how to use DaCy and reproduce the results. \nDaCy also contains guides on usage of the package as well as behavioural test for biases and robustness of Danish NLP pipelines.\n",
+  "author": "Kenneth Enevoldsen",
+  "email": "Kenneth.enevoldsen@cas.au.dk",
+  "url": "https://chcaa.io/#/",
+  "license": "Apache-2.0",
+  "spacy_version": ">=3.5.2,<3.6.0",
+  "spacy_git_version": "Unknown",
+  "vectors": {
+    "width": 0,
+    "vectors": 0,
+    "keys": 0,
+    "name": null
   },
-  "labels":{
-    "transformer":[
-
-    ],
-    "tagger":[
+  "labels": {
+    "transformer": [],
+    "tagger": [
       "ADJ",
       "ADP",
       "ADV",
@@ -38,7 +36,7 @@
       "VERB",
       "X"
     ],
-    "morphologizer":[
+    "morphologizer": [
       "AdpType=Prep|POS=ADP",
       "Definite=Ind|Gender=Com|Number=Sing|POS=NOUN",
       "Mood=Ind|POS=AUX|Tense=Pres|VerbForm=Fin|Voice=Act",
@@ -198,7 +196,7 @@
       "Case=Gen|POS=NOUN",
       "POS=AUX|Tense=Pres|VerbForm=Part"
     ],
-    "parser":[
+    "parser": [
       "ROOT",
       "acl:relcl",
       "advcl",
@@ -232,23 +230,17 @@
       "punct",
       "xcomp"
     ],
-    "ner":[
+    "ner": [
       "LOC",
       "MISC",
       "ORG",
       "PER"
     ],
-    "coref":[
-
-    ],
-    "span_resolver":[
-
-    ],
-    "entity_linker":[
-
-    ]
+    "coref": [],
+    "span_resolver": [],
+    "entity_linker": []
   },
-  "pipeline":[
+  "pipeline": [
     "transformer",
     "tagger",
     "morphologizer",
@@ -260,7 +252,7 @@
     "span_cleaner",
     "entity_linker"
   ],
-  "components":[
+  "components": [
     "transformer",
     "tagger",
     "morphologizer",
@@ -272,413 +264,411 @@
     "span_cleaner",
     "entity_linker"
   ],
-  "disabled":[
-
-  ],
-  "requirements":[
+  "disabled": [],
+  "requirements": [
     "spacy-transformers>=1.2.3,<1.3.0",
     "spacy-experimental>=0.6.2,<0.7.0"
   ],
-  "performance":{
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-    "token_p":0.9970089731,
-    "token_r":0.9977052779,
-    "token_f":0.9973570039,
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-    "coref_lea_f1":0.4118366346,
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   },
-  "sources":[
+  "sources": [
     {
-      "name":"UD Danish DDT v2.11",
-      "url":"https://github.com/UniversalDependencies/UD_Danish-DDT",
-      "license":"CC BY-SA 4.0",
-      "author":"Johannsen, Anders; Mart\u00ednez Alonso, H\u00e9ctor; Plank, Barbara"
+      "name": "UD Danish DDT v2.11",
+      "url": "https://github.com/UniversalDependencies/UD_Danish-DDT",
+      "license": "CC BY-SA 4.0",
+      "author": "Johannsen, Anders; Mart\u00ednez Alonso, H\u00e9ctor; Plank, Barbara"
     },
     {
-      "name":"DaNE",
-      "url":"https://huggingface.co/datasets/dane",
-      "license":"CC BY-SA 4.0",
-      "author":"Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders S\u00f8gaard"
+      "name": "DaNE",
+      "url": "https://huggingface.co/datasets/dane",
+      "license": "CC BY-SA 4.0",
+      "author": "Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders S\u00f8gaard"
     },
     {
-      "name":"DaCoref",
-      "url":"https://huggingface.co/datasets/alexandrainst/dacoref",
-      "license":"CC BY-SA 4.0",
-      "author":"Buch-Kromann, Matthias"
+      "name": "DaCoref",
+      "url": "https://huggingface.co/datasets/alexandrainst/dacoref",
+      "license": "CC BY-SA 4.0",
+      "author": "Buch-Kromann, Matthias"
     },
     {
-      "name":"DaNED",
-      "url":"https://danlp-alexandra.readthedocs.io/en/stable/docs/datasets.html#daned",
-      "license":"CC BY-SA 4.0",
-      "author":"Barrett, M. J., Lam, H., Wu, M., Lacroix, O., Plank, B., & S\u00f8gaard, A."
+      "name": "DaNED",
+      "url": "https://danlp-alexandra.readthedocs.io/en/stable/docs/datasets.html#daned",
+      "license": "CC BY-SA 4.0",
+      "author": "Barrett, M. J., Lam, H., Wu, M., Lacroix, O., Plank, B., & S\u00f8gaard, A."
     },
     {
-      "name":"vesteinn/DanskBERT",
-      "author":"V\u00e9steinn Sn\u00e6bjarnarson",
-      "url":"https://huggingface.co/vesteinn/DanskBERT",
-      "license":"MIT"
+      "name": "vesteinn/DanskBERT",
+      "author": "V\u00e9steinn Sn\u00e6bjarnarson",
+      "url": "https://huggingface.co/vesteinn/DanskBERT",
+      "license": "MIT"
     }
   ],
-  "notes":"\n\n### Training\nThis model was trained using [spaCy](https://spacy.io) and logged to [Weights & Biases](https://wandb.ai/kenevoldsen/dacy-v0.2.0). You can find all the training logs [here](https://wandb.ai/kenevoldsen/dacy-v0.2.0)."
+  "notes": "\n\n### Training\nThis model was trained using [spaCy](https://spacy.io) and logged to [Weights & Biases](https://wandb.ai/kenevoldsen/dacy-v0.2.0). You can find all the training logs [here](https://wandb.ai/kenevoldsen/dacy-v0.2.0)."
 }