Update files from the datasets library (from 1.0.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.0

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz 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

dataset_infos.json

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+{"germeval_14": {"description": "The GermEval 2014 NER Shared Task builds on a new dataset with German Named Entity annotation with the following properties:    - The data was sampled from German Wikipedia and News Corpora as a collection of citations.    - The dataset covers over 31,000 sentences corresponding to over 590,000 tokens.    - The NER annotation uses the NoSta-D guidelines, which extend the T\u00fcbingen Treebank guidelines,      using four main NER categories with sub-structure, and annotating embeddings among NEs      such as [ORG FC Kickers [LOC Darmstadt]].\n", "citation": "@inproceedings{benikova-etal-2014-nosta,\n    title = {NoSta-D Named Entity Annotation for German: Guidelines and Dataset},\n    author = {Benikova, Darina  and\n      Biemann, Chris  and\n      Reznicek, Marc},\n    booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)},\n    month = {may},\n    year = {2014},\n    address = {Reykjavik, Iceland},\n    publisher = {European Language Resources Association (ELRA)},\n    url = {http://www.lrec-conf.org/proceedings/lrec2014/pdf/276_Paper.pdf},\n    pages = {2524--2531},\n}\n", "homepage": "https://sites.google.com/site/germeval2014ner/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "labels": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "nested-labels": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "germ_eval14", "config_name": "germeval_14", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 11305075, "num_examples": 24000, "dataset_name": "germ_eval14"}, "validation": {"name": "validation", "num_bytes": 1036186, "num_examples": 2200, "dataset_name": "germ_eval14"}, "test": {"name": "test", "num_bytes": 2407839, "num_examples": 5100, "dataset_name": "germ_eval14"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1Jjhbal535VVz2ap4v4r_rN1UEHTdLK5P": {"num_bytes": 7882358, "checksum": "1e5a803d81f5fe6ade54700a7e8e9107a45edba80469d42e41a360550d1758e7"}, "https://drive.google.com/uc?export=download&id=1ZfRcQThdtAR5PPRjIDtrVP7BtXSCUBbm": {"num_bytes": 723876, "checksum": "d69d1347847e3ac0d1bfd14d7e5c0713dcb82899624301ced6df807dbb070056"}, "https://drive.google.com/uc?export=download&id=1u9mb7kNJHWQCWyweMDRMuTFoOHOfeBTH": {"num_bytes": 1682738, "checksum": "9405e49532379f3aee048851d116b35823d31c04e9521b87a9c4e6572c269097"}}, "download_size": 10288972, "post_processing_size": null, "dataset_size": 14749100, "size_in_bytes": 25038072}}

dummy/germeval_14/2.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:43927bbe42ad2e816c846698795af3706e9f650b28e2e692024d9a03616c85f6
+size 12583

germeval_14.py

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+# coding=utf-8
+# Copyright 2020 HuggingFace Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Lint as: python3
+"""The GermEval 2014 NER Shared Task dataset."""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+import logging
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{benikova-etal-2014-nosta,
+    title = {NoSta-D Named Entity Annotation for German: Guidelines and Dataset},
+    author = {Benikova, Darina  and
+      Biemann, Chris  and
+      Reznicek, Marc},
+    booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)},
+    month = {may},
+    year = {2014},
+    address = {Reykjavik, Iceland},
+    publisher = {European Language Resources Association (ELRA)},
+    url = {http://www.lrec-conf.org/proceedings/lrec2014/pdf/276_Paper.pdf},
+    pages = {2524--2531},
+}
+"""
+
+_DESCRIPTION = """\
+The GermEval 2014 NER Shared Task builds on a new dataset with German Named Entity annotation with the following properties:\
+    - The data was sampled from German Wikipedia and News Corpora as a collection of citations.\
+    - The dataset covers over 31,000 sentences corresponding to over 590,000 tokens.\
+    - The NER annotation uses the NoSta-D guidelines, which extend the Tübingen Treebank guidelines,\
+      using four main NER categories with sub-structure, and annotating embeddings among NEs\
+      such as [ORG FC Kickers [LOC Darmstadt]].
+"""
+
+_URLS = {
+    "train": "https://drive.google.com/uc?export=download&id=1Jjhbal535VVz2ap4v4r_rN1UEHTdLK5P",
+    "dev": "https://drive.google.com/uc?export=download&id=1ZfRcQThdtAR5PPRjIDtrVP7BtXSCUBbm",
+    "test": "https://drive.google.com/uc?export=download&id=1u9mb7kNJHWQCWyweMDRMuTFoOHOfeBTH",
+}
+
+
+class GermEval14Config(datasets.BuilderConfig):
+    """BuilderConfig for GermEval 2014."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for GermEval 2014.
+
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(GermEval14Config, self).__init__(**kwargs)
+
+
+class GermEval14(datasets.GeneratorBasedBuilder):
+    """GermEval 2014 NER Shared Task dataset."""
+
+    BUILDER_CONFIGS = [
+        GermEval14Config(
+            name="germeval_14", version=datasets.Version("2.0.0"), description="GermEval 2014 NER Shared Task dataset"
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "source": datasets.Value("string"),
+                    "tokens": datasets.Sequence(datasets.Value("string")),
+                    "labels": datasets.Sequence(datasets.Value("string")),
+                    "nested-labels": datasets.Sequence(datasets.Value("string")),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://sites.google.com/site/germeval2014ner/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        downloaded_files = dl_manager.download_and_extract(_URLS)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        logging.info("⏳ Generating examples from = %s", filepath)
+        with open(filepath, encoding="utf-8") as f:
+            data = csv.reader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
+            current_source = ""
+            current_tokens = []
+            current_labels = []
+            current_nested_labels = []
+            sentence_counter = 0
+            for row in data:
+                if row:
+                    if row[0] == "#":
+                        current_source = " ".join(row[1:])
+                        continue
+                    id_, token, label, nested_label = row[:4]
+                    current_tokens.append(token)
+                    current_labels.append(label)
+                    current_nested_labels.append(nested_label)
+                else:
+                    # New sentence
+                    if not current_tokens:
+                        # Consecutive empty lines will cause empty sentences
+                        continue
+                    assert len(current_tokens) == len(current_labels), "💔 between len of tokens & labels"
+                    assert len(current_labels) == len(current_nested_labels), "💔 between len of labels & nested labels"
+                    assert current_source, "💥 Source for new sentence was not set"
+                    sentence = (
+                        sentence_counter,
+                        {
+                            "id": str(sentence_counter),
+                            "tokens": current_tokens,
+                            "labels": current_labels,
+                            "nested-labels": current_nested_labels,
+                            "source": current_source,
+                        },
+                    )
+                    sentence_counter += 1
+                    current_tokens = []
+                    current_labels = []
+                    current_nested_labels = []
+                    current_source = ""
+                    yield sentence
+            # Don't forget last sentence in dataset 🧐
+            yield sentence_counter, {
+                "id": str(sentence_counter),
+                "tokens": current_tokens,
+                "labels": current_labels,
+                "nested-labels": current_nested_labels,
+                "source": current_source,
+            }