Update files from the datasets library (from 1.0.2)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.2

.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
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+*.pt filter=lfs diff=lfs merge=lfs -text
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+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
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+*tfevents* filter=lfs diff=lfs merge=lfs -text

conll2003.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
+"""Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition"""
+
+import logging
+
+import datasets
+
+
+_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",
+}
+"""
+
+_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
+"""
+
+_URL = "https://github.com/davidsbatista/NER-datasets/raw/master/CONLL2003/"
+_TRAINING_FILE = "train.txt"
+_DEV_FILE = "valid.txt"
+_TEST_FILE = "test.txt"
+
+
+class Conll2003Config(datasets.BuilderConfig):
+    """BuilderConfig for Conll2003"""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig forConll2003.
+
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(Conll2003Config, self).__init__(**kwargs)
+
+
+class Conll2003(datasets.GeneratorBasedBuilder):
+    """Conll2003 dataset."""
+
+    BUILDER_CONFIGS = [
+        Conll2003Config(name="conll2003", version=datasets.Version("1.0.0"), description="Conll2003 dataset"),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "words": datasets.Sequence(datasets.Value("string")),
+                    "pos": datasets.Sequence(datasets.Value("string")),
+                    "chunk": datasets.Sequence(datasets.Value("string")),
+                    "ner": datasets.Sequence(datasets.Value("string")),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://www.aclweb.org/anthology/W03-0419/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        urls_to_download = {
+            "train": f"{_URL}{_TRAINING_FILE}",
+            "dev": f"{_URL}{_DEV_FILE}",
+            "test": f"{_URL}{_TEST_FILE}",
+        }
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        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:
+            guid = 0
+            words = []
+            pos = []
+            chunk = []
+            ner = []
+            for line in f:
+                if line.startswith("-DOCSTART-") or line == "" or line == "\n":
+                    if words:
+                        yield guid, {"id": str(guid), "words": words, "pos": pos, "chunk": chunk, "ner": ner}
+                        guid += 1
+                        words = []
+                        pos = []
+                        chunk = []
+                        ner = []
+                else:
+                    # conll2003 tokens are space separated
+                    splits = line.split(" ")
+                    words.append(splits[0])
+                    pos.append(splits[1])
+                    chunk.append(splits[2])
+                    ner.append(splits[3].rstrip())
+            # last example
+            yield guid, {"id": str(guid), "words": words, "pos": pos, "chunk": chunk, "ner": ner}

dataset_infos.json

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+{"conll2003": {"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/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "chunk": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "conll2003", "config_name": "conll2003", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 6032006, "num_examples": 14041, "dataset_name": "conll2003"}, "validation": {"name": "validation", "num_bytes": 1512711, "num_examples": 3250, "dataset_name": "conll2003"}, "test": {"name": "test", "num_bytes": 1378578, "num_examples": 3453, "dataset_name": "conll2003"}}, "download_checksums": {"https://github.com/davidsbatista/NER-datasets/raw/master/CONLL2003/train.txt": {"num_bytes": 3283418, "checksum": "c99b26852dabf57ca9d30a0e892b84544cc8962003151e14a71077c55dc66db5"}, "https://github.com/davidsbatista/NER-datasets/raw/master/CONLL2003/valid.txt": {"num_bytes": 827441, "checksum": "f1f6469322876887de1d04acd43c59b02f59d5b02acf42c027132fa1bf349cb2"}, "https://github.com/davidsbatista/NER-datasets/raw/master/CONLL2003/test.txt": {"num_bytes": 748093, "checksum": "82e0c72d262f86ad3e78b15c5d980bbf87cb205aa4bf6d2d97643f463f8d7ff7"}}, "download_size": 4858952, "post_processing_size": null, "dataset_size": 8923295, "size_in_bytes": 13782247}}

dummy/conll2003/1.0.0/dummy_data.zip

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