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
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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:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- structure-prediction
+task_ids:
+- named-entity-recognition
+---
+
+# Dataset Card for People's Daily NER
+
+## 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:** [Github](https://github.com/OYE93/Chinese-NLP-Corpus/tree/master/NER/People's%20Daily)
+- **Repository:** [Github](https://github.com/OYE93/Chinese-NLP-Corpus/)
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact:**
+
+### 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
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### 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
+
+No citation available for this dataset.

dataset_infos.json

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+{"peoples_daily_ner": {"description": "People's Daily NER Dataset is a commonly used dataset for Chinese NER, with\ntext from People's Daily (\u4eba\u6c11\u65e5\u62a5), the largest official newspaper.\n\nThe dataset is in BIO scheme. Entity types are: PER (person), ORG (organization)\nand LOC (location).\n", "citation": "", "homepage": "https://github.com/OYE93/Chinese-NLP-Corpus/tree/master/NER/People's%20Daily", "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": 7, "names": ["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "peoples_daily_ner", "config_name": "peoples_daily_ner", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 14972456, "num_examples": 20865, "dataset_name": "peoples_daily_ner"}, "validation": {"name": "validation", "num_bytes": 1676741, "num_examples": 2319, "dataset_name": "peoples_daily_ner"}, "test": {"name": "test", "num_bytes": 3346975, "num_examples": 4637, "dataset_name": "peoples_daily_ner"}}, "download_checksums": {"https://raw.githubusercontent.com/OYE93/Chinese-NLP-Corpus/master/NER/People's%20Daily/example.train": {"num_bytes": 6277429, "checksum": "fbacf4110b131354270b7ff470c88eb84645f0ed8df30c3e409dde437cb45e70"}, "https://raw.githubusercontent.com/OYE93/Chinese-NLP-Corpus/master/NER/People's%20Daily/example.dev": {"num_bytes": 702455, "checksum": "7d8e6fcd1745e6adcb99d90307d84c3a0f9f8ff5ee6fe62ca27646cb765fc38a"}, "https://raw.githubusercontent.com/OYE93/Chinese-NLP-Corpus/master/NER/People's%20Daily/example.test": {"num_bytes": 1405788, "checksum": "233299005f941a4b055e38aadcf3ee853e44bc1f88166078d3b52b26b77ea362"}}, "download_size": 8385672, "post_processing_size": null, "dataset_size": 19996172, "size_in_bytes": 28381844}}

dummy/peoples_daily_ner/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4b73839a6419b9283401f0dd8d19a5ce420c4d21b68b70d6a06dc66b1f1ff26c
+size 1134

peoples_daily_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
+"""Introduction to People's Daily Dataset"""
+
+import logging
+
+import datasets
+
+
+_DESCRIPTION = """\
+People's Daily NER Dataset is a commonly used dataset for Chinese NER, with
+text from People's Daily (人民日报), the largest official newspaper.
+
+The dataset is in BIO scheme. Entity types are: PER (person), ORG (organization)
+and LOC (location).
+"""
+
+_URL = "https://raw.githubusercontent.com/OYE93/Chinese-NLP-Corpus/master/NER/People's%20Daily/"
+_TRAINING_FILE = "example.train"
+_DEV_FILE = "example.dev"
+_TEST_FILE = "example.test"
+
+
+class PeoplesDailyConfig(datasets.BuilderConfig):
+    """BuilderConfig for People's Daily NER"""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for People's Daily NER.
+
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(PeoplesDailyConfig, self).__init__(**kwargs)
+
+
+class PeoplesDailyNer(datasets.GeneratorBasedBuilder):
+    """People's Daily NER dataset."""
+
+    BUILDER_CONFIGS = [
+        PeoplesDailyConfig(
+            name="peoples_daily_ner", version=datasets.Version("1.0.0"), description="People's Daily NER dataset"
+        ),
+    ]
+
+    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=[
+                                "O",
+                                "B-PER",
+                                "I-PER",
+                                "B-ORG",
+                                "I-ORG",
+                                "B-LOC",
+                                "I-LOC",
+                            ]
+                        )
+                    ),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/OYE93/Chinese-NLP-Corpus/tree/master/NER/People's%20Daily",
+        )
+
+    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
+            tokens = []
+            ner_tags = []
+            for line in f:
+                line_stripped = line.strip()
+                if line_stripped == "":
+                    if tokens:
+                        yield guid, {
+                            "id": str(guid),
+                            "tokens": tokens,
+                            "ner_tags": ner_tags,
+                        }
+                        guid += 1
+                        tokens = []
+                        ner_tags = []
+                else:
+                    splits = line_stripped.split(" ")
+                    if len(splits) == 1:
+                        splits.append("O")
+                    tokens.append(splits[0])
+                    ner_tags.append(splits[1])
+            # last example
+            yield guid, {
+                "id": str(guid),
+                "tokens": tokens,
+                "ner_tags": ner_tags,
+            }