Update

.gitattributes

@@ -25,3 +25,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.conllu filter=lfs diff=lfs merge=lfs -text
+fr_gsd-ud-plus-dev.conllu filter=lfs diff=lfs merge=lfs -text
+fr_gsd-ud-plus-test.conllu filter=lfs diff=lfs merge=lfs -text
+fr_gsd-ud-plus-train.conllu filter=lfs diff=lfs merge=lfs -text

ANTILLES.py

@@ -0,0 +1,188 @@
+# coding=utf-8
+# Source: https://github.com/huggingface/datasets/blob/master/templates/new_dataset_script.py
+
+"""ANTILLES Corpus"""
+
+import datasets
+from tqdm import tqdm
+
+logger = datasets.logging.get_logger(__name__)
+
+_CITATION = """
+@misc{
+    universaldependencies,
+    title={UniversalDependencies/UD_French-GSD},
+    url={https://github.com/UniversalDependencies/UD_French-GSD}, journal={GitHub},
+    author={UniversalDependencies}
+}
+
+@inproceedings{mcdonald-etal-2013-universal,
+    title = {{U}niversal {D}ependency Annotation for Multilingual Parsing},
+    author = {
+        McDonald, Ryan  and
+        Nivre, Joakim  and
+        Quirmbach-Brundage, Yvonne  and
+        Goldberg, Yoav  and
+        Das, Dipanjan  and
+        Ganchev, Kuzman  and
+        Hall, Keith  and
+        Petrov, Slav  and
+        Zhang, Hao  and
+        Tackstrom, Oscar  and
+        Bedini, Claudia  and
+        Bertomeu Castello, Nuria  and
+        Lee, Jungmee
+    },
+    booktitle = {Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
+    month = aug,
+    year = {2013},
+    address = {Sofia, Bulgaria},
+    publisher = {Association for Computational Linguistics},
+    url = {https://aclanthology.org/P13-2017},
+    pages = {92--97",
+}
+
+@techreport{
+    LIA_TAGG,
+    author = {Frédéric Béchet},
+    title = {LIA_TAGG: a statistical POS tagger + syntactic bracketer},
+    institution = {Aix-Marseille University & CNRS},
+    year = {2001}
+}
+"""
+
+_LICENSE = """
+For the following languages
+
+  German, Spanish, French, Indonesian, Italian, Japanese, Korean and Brazilian
+  Portuguese
+
+we will distinguish between two portions of the data.
+
+1. The underlying text for sentences that were annotated. This data Google
+   asserts no ownership over and no copyright over. Some or all of these
+   sentences may be copyrighted in some jurisdictions.  Where copyrighted,
+   Google collected these sentences under exceptions to copyright or implied
+   license rights.  GOOGLE MAKES THEM AVAILABLE TO YOU 'AS IS', WITHOUT ANY
+   WARRANTY OF ANY KIND, WHETHER EXPRESS OR IMPLIED.
+
+2. The annotations -- part-of-speech tags and dependency annotations. These are
+   made available under a CC BY-SA 4.0. GOOGLE MAKES
+   THEM AVAILABLE TO YOU 'AS IS', WITHOUT ANY WARRANTY OF ANY KIND, WHETHER
+   EXPRESS OR IMPLIED. See attached LICENSE file for the text of CC BY-NC-SA.
+
+Portions of the German data were sampled from the CoNLL 2006 Tiger Treebank
+data. Hans Uszkoreit graciously gave permission to use the underlying
+sentences in this data as part of this release.
+
+Any use of the data should reference the above plus:
+
+  Universal Dependency Annotation for Multilingual Parsing
+  Ryan McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, Yoav Goldberg,
+  Dipanjan Das, Kuzman Ganchev, Keith Hall, Slav Petrov, Hao Zhang,
+  Oscar Tackstrom, Claudia Bedini, Nuria Bertomeu Castello and Jungmee Lee
+  Proceedings of ACL 2013
+"""
+
+_DESCRIPTION = "No description"
+
+class ANTILLES(datasets.GeneratorBasedBuilder):
+    """ANTILLES dataset."""
+
+    VERSION = datasets.Version("1.1.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="ANTILLES", version=VERSION, description="The ANTILLES corpora"),
+    ]
+
+    DEFAULT_CONFIG_NAME = "ANTILLES"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "tokens": datasets.Sequence(datasets.Value("string")),
+                    "pos_tags": datasets.Sequence(
+                        datasets.features.ClassLabel(
+                            names = ['PART', 'PDEMMP', 'PREFS', 'PINDMP', 'DINTMS', 'NUM', 'PINTFS', 'NFP', 'PUNCT', 'PRELMS', 'NOUN', 'PPER3MS', 'AUX', 'COSUB', 'ADJ', 'VPPRE', 'COCO', 'ADJMP', 'X', 'NMS', 'PINDMS', 'DETFS', 'PPER2S', 'PREFP', 'PPER3MP', 'PRELMP', 'PINDFS', 'PRON', 'PREP', 'PPOBJMP', 'ADJFS', 'DET', 'ADJFP', 'PDEMFP', 'PREL', 'PPER3FS', 'VPPFS', 'PPER3FP', 'CHIF', 'NMP', 'SYM', 'NFS', 'VERB', 'PREF', 'VPPFP', 'PDEMMS', 'XFAMIL', 'PINDFP', 'VPPMP', 'YPFOR', 'ADV', 'PRELFS', 'DINTFS', 'DETMS', 'PPOBJFP', 'PPOBJMS', 'VPPMS', 'INTJ', 'PROPN', 'PDEMFS', 'PPER1S', 'PRELFP', 'MOTINC', 'ADJMS', 'PPOBJFS']
+                        )
+                    ),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/qanastek/ANTILLES",
+            citation=_CITATION,
+            license=_LICENSE,
+        )
+
+    def _split_generators(self, dl_manager):
+
+        TRAIN_PATH = 'data/train.conllu'
+        DEV_PATH   = 'data/dev.conllu'
+        TEST_PATH  = 'data/test.conllu'
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": TRAIN_PATH,
+                    "split": "train",
+                }
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": DEV_PATH,
+                    "split": "dev",
+                }
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": TEST_PATH,
+                    "split": "test",
+                }
+            ),
+        ]
+        
+
+    def _generate_examples(self, filepath, split):
+
+        logger.info("⏳ Generating examples from = %s", filepath)
+
+        with open(filepath, encoding="utf-8") as f:
+
+            guid = 0
+            tokens = []
+            pos_tags = []
+
+            for line in tqdm(f):
+
+                if "#" in line or line == "" or line == "\n":
+
+                    if tokens:
+
+                        yield guid, {
+                            "id": str(guid),
+                            "tokens": tokens,
+                            "pos_tags": pos_tags,
+                        }
+
+                        guid += 1
+                        tokens = []
+                        pos_tags = []
+
+                else:
+
+                    splits = line.split('\t')
+                    tokens.append(splits[1])
+
+                    pos_tags.append(splits[3].rstrip() if "_" not in splits[3] else "X")
+
+            yield guid, {
+                "id": str(guid),
+                "tokens": tokens,
+                "pos_tags": pos_tags,
+            }

CITATION.cff

@@ -0,0 +1,11 @@
+cff-version: 1.0.0
+message: "ANTILLES : An Open French Linguistically Enriched Part-of-Speech Corpus"
+authors:
+- family-names: "Labrak"
+  given-names: "Yanis"
+- family-names: "Dufour"
+  given-names: "Richard"
+title: "ANTILLES : An Open French Linguistically Enriched Part-of-Speech Corpus"
+version: 1.0.0
+date-released: 2021-11-25
+url: "https://github.com/qanastek/ANTILLES"

LICENSE

@@ -1,30 +1,427 @@
-For the following languages
-
-  German, Spanish, French, Indonesian, Italian, Japanese, Korean and Brazilian
-  Portuguese
-
-we will distinguish between two portions of the data.
-
-1. The underlying text for sentences that were annotated. This data Google
-   asserts no ownership over and no copyright over. Some or all of these
-   sentences may be copyrighted in some jurisdictions.  Where copyrighted,
-   Google collected these sentences under exceptions to copyright or implied
-   license rights.  GOOGLE MAKES THEM AVAILABLE TO YOU 'AS IS', WITHOUT ANY
-   WARRANTY OF ANY KIND, WHETHER EXPRESS OR IMPLIED.
-
-2. The annotations -- part-of-speech tags and dependency annotations. These are
-   made available under a CC BY-SA 4.0. GOOGLE MAKES
-   THEM AVAILABLE TO YOU 'AS IS', WITHOUT ANY WARRANTY OF ANY KIND, WHETHER
-   EXPRESS OR IMPLIED. See attached LICENSE file for the text of CC BY-NC-SA.
-
-Portions of the German data were sampled from the CoNLL 2006 Tiger Treebank
-data. Hans Uszkoreit graciously gave permission to use the underlying
-sentences in this data as part of this release.
-
-Any use of the data should reference the above plus:
-
-  Universal Dependency Annotation for Multilingual Parsing
-  Ryan McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, Yoav Goldberg,
-  Dipanjan Das, Kuzman Ganchev, Keith Hall, Slav Petrov, Hao Zhang,
-  Oscar Tackstrom, Claudia Bedini, Nuria Bertomeu Castello and Jungmee Lee
-  Proceedings of ACL 2013
+Attribution-ShareAlike 4.0 International
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README.md

@@ -47,6 +47,8 @@ Originally, the corpora consists of 400,399 words (16,341 sentences) and had 17
 
 We based our tags on the level of details given by the [LIA_TAGG](http://pageperso.lif.univ-mrs.fr/frederic.bechet/download.html) statistical POS tagger written by [Frédéric Béchet](http://pageperso.lif.univ-mrs.fr/frederic.bechet/index-english.html) in 2001.
 
+<a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International License</a>.
+
 ### Supported Tasks and Leaderboards
 
 `part-of-speech-tagging`: The dataset can be used to train a model for part-of-speech-tagging. The performance is measured by how high its F1 score is. A Flair Sequence-To-Sequence model trained to tag tokens from Wikipedia passages achieves a F1 score (micro) of 0.952.
@@ -209,6 +211,7 @@ __Universal Dependency__: Ryan McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage
 
 ### Licensing Information
 
+```plain
 For the following languages
 
   German, Spanish, French, Indonesian, Italian, Japanese, Korean and Brazilian
@@ -239,6 +242,7 @@ Any use of the data should reference the above plus:
   Dipanjan Das, Kuzman Ganchev, Keith Hall, Slav Petrov, Hao Zhang,
   Oscar Tackstrom, Claudia Bedini, Nuria Bertomeu Castello and Jungmee Lee
   Proceedings of ACL 2013
+```
 
 ### Citation Information