Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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+*.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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+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+languages:
+- zh
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- structure-prediction
+task_ids:
+- named-entity-recognition
+---
+
+# Dataset Card Creation Guide
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** None
+- **Repository:** https://github.com/OYE93/Chinese-NLP-Corpus/tree/master/NER/Weibo
+- **Paper:** [More Information Needed]
+- **Leaderboard:** [If the dataset supports an active leaderboard, add link here]()
+- **Point of Contact:** [More Information Needed]
+
+### Dataset Summary
+
+[More Information Needed]
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+[More Information Needed]
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+[More Information Needed]
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]

dataset_infos.json

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+{"default": {"description": "Tags: PER(\u4eba\u540d), LOC(\u5730\u70b9\u540d), GPE(\u884c\u653f\u533a\u540d), ORG(\u673a\u6784\u540d)\nLabel\tTag\tMeaning\nPER\tPER.NAM\t\u540d\u5b57\uff08\u5f20\u4e09\uff09\nPER.NOM\t\u4ee3\u79f0\u3001\u7c7b\u522b\u540d\uff08\u7a77\u4eba\uff09\nLOC\tLOC.NAM\t\u7279\u6307\u540d\u79f0\uff08\u7d2b\u7389\u5c71\u5e84\uff09\nLOC.NOM\t\u6cdb\u79f0\uff08\u5927\u5ce1\u8c37\u3001\u5bbe\u9986\uff09\nGPE\tGPE.NAM\t\u884c\u653f\u533a\u7684\u540d\u79f0\uff08\u5317\u4eac\uff09\nORG\tORG.NAM\t\u7279\u5b9a\u673a\u6784\u540d\u79f0\uff08\u901a\u60e0\u533b\u9662\uff09\nORG.NOM\t\u6cdb\u6307\u540d\u79f0\u3001\u7edf\u79f0\uff08\u6587\u827a\u516c\u53f8\uff09\n", "citation": "", "homepage": "https://github.com/OYE93/Chinese-NLP-Corpus/tree/master/NER/Weibo", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner_tags": {"feature": {"num_classes": 17, "names": ["B-GPE.NAM", "B-GPE.NOM", "B-LOC.NAM", "B-LOC.NOM", "B-ORG.NAM", "B-ORG.NOM", "B-PER.NAM", "B-PER.NOM", "I-GPE.NAM", "I-GPE.NOM", "I-LOC.NAM", "I-LOC.NOM", "I-ORG.NAM", "I-ORG.NOM", "I-PER.NAM", "I-PER.NOM", "O"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "weibo_ner_corpus", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1179589, "num_examples": 1350, "dataset_name": "weibo_ner_corpus"}, "validation": {"name": "validation", "num_bytes": 232380, "num_examples": 270, "dataset_name": "weibo_ner_corpus"}, "test": {"name": "test", "num_bytes": 237407, "num_examples": 270, "dataset_name": "weibo_ner_corpus"}}, "download_checksums": {"https://raw.githubusercontent.com/OYE93/Chinese-NLP-Corpus/master/NER/Weibo/weiboNER_2nd_conll.train": {"num_bytes": 536039, "checksum": "4e8954c54ab33b0afc9a8abb85715c47422645cc6d1b49fdb24540f4a427e997"}, "https://raw.githubusercontent.com/OYE93/Chinese-NLP-Corpus/master/NER/Weibo/weiboNER_2nd_conll.dev": {"num_bytes": 105881, "checksum": "e72730d83aac680505280b6301c879b3ba470d29ac308979d48cdc58ee4907cc"}, "https://raw.githubusercontent.com/OYE93/Chinese-NLP-Corpus/master/NER/Weibo/weiboNER_2nd_conll.test": {"num_bytes": 108767, "checksum": "faaf6c0ebde5348b935cfd5c89f0f22c9e0779d60667d8b5efbc647b6707d50e"}}, "download_size": 750687, "post_processing_size": null, "dataset_size": 1649376, "size_in_bytes": 2400063}}

dummy/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2757f75e09ee7da04552eb35c2d79c5e08d5b24002a9804c8df08600487c538e
+size 644

weibo_ner.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
+import datasets
+
+
+_DESCRIPTION = """\
+Tags: PER(人名), LOC(地点名), GPE(行政区名), ORG(机构名)
+Label	Tag	Meaning
+PER	PER.NAM	名字（张三）
+PER.NOM	代称、类别名（穷人）
+LOC	LOC.NAM	特指名称（紫玉山庄）
+LOC.NOM	泛称（大峡谷、宾馆）
+GPE	GPE.NAM	行政区的名称（北京）
+ORG	ORG.NAM	特定机构名称（通惠医院）
+ORG.NOM	泛指名称、统称（文艺公司）
+"""
+_HOMEPAGE_URL = "https://github.com/OYE93/Chinese-NLP-Corpus/tree/master/NER/Weibo"
+_CITATION = None
+_TRAIN_URL = "https://raw.githubusercontent.com/OYE93/Chinese-NLP-Corpus/master/NER/Weibo/weiboNER_2nd_conll.train"
+_TEST_URL = "https://raw.githubusercontent.com/OYE93/Chinese-NLP-Corpus/master/NER/Weibo/weiboNER_2nd_conll.test"
+_VALID_URL = "https://raw.githubusercontent.com/OYE93/Chinese-NLP-Corpus/master/NER/Weibo/weiboNER_2nd_conll.dev"
+
+
+class WeiboNERCorpus(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "tokens": datasets.Sequence(datasets.Value("string")),
+                    "ner_tags": datasets.Sequence(
+                        datasets.features.ClassLabel(
+                            names=[
+                                "B-GPE.NAM",
+                                "B-GPE.NOM",
+                                "B-LOC.NAM",
+                                "B-LOC.NOM",
+                                "B-ORG.NAM",
+                                "B-ORG.NOM",
+                                "B-PER.NAM",
+                                "B-PER.NOM",
+                                "I-GPE.NAM",
+                                "I-GPE.NOM",
+                                "I-LOC.NAM",
+                                "I-LOC.NOM",
+                                "I-ORG.NAM",
+                                "I-ORG.NOM",
+                                "I-PER.NAM",
+                                "I-PER.NOM",
+                                "O",
+                            ]
+                        )
+                    ),
+                },
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE_URL,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        train_path = dl_manager.download_and_extract(_TRAIN_URL)
+        valid_path = dl_manager.download_and_extract(_VALID_URL)
+        test_path = dl_manager.download_and_extract(_TEST_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"data_path": train_path},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"data_path": valid_path},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"data_path": test_path},
+            ),
+        ]
+
+    def _generate_examples(self, data_path):
+        sentence_counter = 0
+        with open(data_path, encoding="utf-8") as f:
+            current_words = []
+            current_labels = []
+            for row in f:
+                row = row.rstrip()
+                row_split = row.split("\t")
+                if len(row_split) == 2:
+                    token, label = row_split
+                    current_words.append(token)
+                    current_labels.append(label)
+                else:
+                    if not current_words:
+                        continue
+                    assert len(current_words) == len(current_labels), "word len doesnt match label length"
+                    sentence = (
+                        sentence_counter,
+                        {
+                            "id": str(sentence_counter),
+                            "tokens": current_words,
+                            "ner_tags": current_labels,
+                        },
+                    )
+                    sentence_counter += 1
+                    current_words = []
+                    current_labels = []
+                    yield sentence
+
+            # if something remains:
+            if current_words:
+                sentence = (
+                    sentence_counter,
+                    {
+                        "id": str(sentence_counter),
+                        "tokens": current_words,
+                        "ner_tags": current_labels,
+                    },
+                )
+                yield sentence