Updated meta

dataset_infos.json

@@ -1,8 +1,8 @@
 {
     "mim-gold-ner": {
-        "description": "The shared task of CoNLL-2003 concerns language-independent named entity recognition. We will concentrate on\nfour types of named entities: persons, locations, organizations and names of miscellaneous entities that do\nnot belong to the previous three groups.\n\nThe CoNLL-2003 shared task data files contain four columns separated by a single space. Each word has been put on\na separate line and there is an empty line after each sentence. The first item on each line is a word, the second\na part-of-speech (POS) tag, the third a syntactic chunk tag and the fourth the named entity tag. The chunk tags\nand the named entity tags have the format I-TYPE which means that the word is inside a phrase of type TYPE. Only\nif two phrases of the same type immediately follow each other, the first word of the second phrase will have tag\nB-TYPE to show that it starts a new phrase. A word with tag O is not part of a phrase. Note the dataset uses IOB2\ntagging scheme, whereas the original dataset uses IOB1.\n\nFor more details see https://www.clips.uantwerpen.be/conll2003/ner/ and https://www.aclweb.org/anthology/W03-0419\n",
-        "citation": "@inproceedings{tjong-kim-sang-de-meulder-2003-introduction,\n    title = \"Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition\",\n    author = \"Tjong Kim Sang, Erik F.  and\n      De Meulder, Fien\",\n    booktitle = \"Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003\",\n    year = \"2003\",\n    url = \"https://www.aclweb.org/anthology/W03-0419\",\n    pages = \"142--147\",\n}\n",
-        "homepage": "https://www.aclweb.org/anthology/W03-0419/",
+        "description": "This Icelandic named entity (NE) corpus, MIM-GOLD-NER, is a version of the MIM-GOLD corpus tagged for NEs. Over 48 thousand NEs are tagged in this corpus of one million tokens, which can be used for training named entity recognizers for Icelandic.\nThe MIM-GOLD-NER corpus was developed at Reykjavik University in 2018–2020, funded by the Strategic Research and Development Programme for Language Technology (LT). Two LT students were in charge of the corpus annotation and of training named entity recognizers using machine learning methods.\nA semi-automatic approach was used for annotating the corpus. Lists of Icelandic person names, location names, and company names were compiled and used for extracting and classifying as many named entities as possible. Regular expressions were then used to find certain numerical entities in the corpus. After this automatic pre-processing step, the whole corpus was reviewed manually to correct any errors. \nThe Named Entity Corpus corpus is distributed with the same special user license as MIM-GOLD, which is based on the MIM license, since the texts in MIM-GOLD were sampled from the MIM corpus.",
+        "citation": "@misc{20.500.12537/42,\n title = {{MIM}-{GOLD}-{NER} – named entity recognition corpus},\n author = {Ing{\\'o}lfsd{\\'o}ttir, Svanhv{\\'{\\i}}t and Gu{\\dh}j{\\'o}nsson, {\\'A}smundur Alma and Loftsson, Hrafn},\nurl = {http://hdl.handle.net/20.500.12537/42},\nnote = {{CLARIN}-{IS}},\ncopyright = {Icelandic Gigaword Corpus Part1},\nyear = {2020} }\n",
+        "homepage": "http://hdl.handle.net/20.500.12537/42",
         "license": "",
         "features": {
             "id": {

icelandic-ner-MIM-GOLD-NER.py

@@ -25,30 +25,34 @@ logger = datasets.logging.get_logger(__name__)
 
 
 _CITATION = """\
-@inproceedings{tjong-kim-sang-de-meulder-2003-introduction,
-    title = "Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition",
-    author = "Tjong Kim Sang, Erik F.  and
-      De Meulder, Fien",
-    booktitle = "Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003",
-    year = "2003",
-    url = "https://www.aclweb.org/anthology/W03-0419",
-    pages = "142--147",
-}
+@misc{20.500.12537/42,
+ title = {{MIM}-{GOLD}-{NER} – named entity recognition corpus},
+ author = {Ing{\'o}lfsd{\'o}ttir, Svanhv{\'{\i}}t and Gu{\dh}j{\'o}nsson, {\'A}smundur Alma and Loftsson, Hrafn},
+ url = {http://hdl.handle.net/20.500.12537/42},
+ note = {{CLARIN}-{IS}},
+ copyright = {Icelandic Gigaword Corpus Part1},
+ year = {2020} }
 """
 
 _DESCRIPTION = """\
-The shared task of CoNLL-2003 concerns language-independent named entity recognition. We will concentrate on
-four types of named entities: persons, locations, organizations and names of miscellaneous entities that do
-not belong to the previous three groups.
-The CoNLL-2003 shared task data files contain four columns separated by a single space. Each word has been put on
-a separate line and there is an empty line after each sentence. The first item on each line is a word, the second
-a part-of-speech (POS) tag, the third a syntactic chunk tag and the fourth the named entity tag. The chunk tags
-and the named entity tags have the format I-TYPE which means that the word is inside a phrase of type TYPE. Only
-if two phrases of the same type immediately follow each other, the first word of the second phrase will have tag
-B-TYPE to show that it starts a new phrase. A word with tag O is not part of a phrase. Note the dataset uses IOB2
-tagging scheme, whereas the original dataset uses IOB1.
-For more details see https://www.clips.uantwerpen.be/conll2003/ner/ and https://www.aclweb.org/anthology/W03-0419
-"""
+This Icelandic named entity (NE) corpus, MIM-GOLD-NER, is a version of the MIM-GOLD corpus tagged for NEs. Over 48 thousand NEs are tagged in this corpus of one million tokens, which can be used for training named entity recognizers for Icelandic.
+
+The MIM-GOLD-NER corpus was developed at Reykjavik University in 2018–2020, funded by the Strategic Research and Development Programme for Language Technology (LT). Two LT students were in charge of the corpus annotation and of training named entity recognizers using machine learning methods.
+
+A semi-automatic approach was used for annotating the corpus. Lists of Icelandic person names, location names, and company names were compiled and used for extracting and classifying as many named entities as possible. Regular expressions were then used to find certain numerical entities in the corpus. After this automatic pre-processing step, the whole corpus was reviewed manually to correct any errors. The corpus is tagged for eight named entity types:
+
+PERSON – names of humans, animals and other beings, real or fictional.
+LOCATION – names of locations, real or fictional, i.e. buildings, street and place names, both real and fictional. All geographical and geopolitical entities such as cities, countries, counties and regions, as well as planet names and other outer space entities.
+ORGANIZATION – companies and other organizations, public or private, real or fictional. Schools, churches, swimming pools, community centers, musical groups, other affiliations.
+MISCELLANEOUS – proper nouns that don’t belong to the previous three categories, such as products, books and movie titles, events, such as wars, sports tournaments, festivals, concerts, etc.
+DATE – absolute temporal units of a full day or longer, such as days, months, years, centuries, both written numerically and alphabetically.
+TIME – absolute temporal units shorter than a full day, such as seconds, minutes, or hours, both written numerically and alphabetically.
+MONEY – exact monetary amounts in any currency, both written numerically and alphabetically.
+PERCENT – percentages, both written numerically and alphabetically
+
+MIM-GOLD-NER is intended for training of named entity recognizers for Icelandic. It is in the CoNLL format, and the position of each token within the NE is marked using the BIO tagging format. The corpus can be used in its entirety or by training on subsets of the text types that best fit the intended domain.
+
+The Named Entity Corpus corpus is distributed with the same special user license as MIM-GOLD, which is based on the MIM license, since the texts in MIM-GOLD were sampled from the MIM corpus."""
 
 _URL = "https://vesteinn.is/"
 _TRAINING_FILE = "train.txt"
@@ -107,7 +111,7 @@ class MIMGoldNER(datasets.GeneratorBasedBuilder):
                 }
             ),
             supervised_keys=None,
-            homepage="https://www.aclweb.org/anthology/W03-0419/",
+            homepage="http://hdl.handle.net/20.500.12537/42",
             citation=_CITATION,
         )