Datasets:

Languages:
Chinese
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
system HF staff commited on
Commit
ae36bb0
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Update files from the datasets library (from 1.2.0)

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

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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - found
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+ languages:
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+ - zh
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+ licenses:
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+ - unknown
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - structure-prediction
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+ task_ids:
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+ - named-entity-recognition
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+ ---
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+
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+ # Dataset Card for People's Daily NER
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-instances)
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+ - [Data Splits](#data-instances)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
39
+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [Github](https://github.com/OYE93/Chinese-NLP-Corpus/tree/master/NER/People's%20Daily)
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+ - **Repository:** [Github](https://github.com/OYE93/Chinese-NLP-Corpus/)
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+ - **Paper:**
52
+ - **Leaderboard:**
53
+ - **Point of Contact:**
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+
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+ ### Dataset Summary
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+
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+ [More Information Needed]
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [More Information Needed]
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+
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+ ### Languages
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+
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+ [More Information Needed]
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
71
+ [More Information Needed]
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+
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+ ### Data Fields
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+
75
+ [More Information Needed]
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+
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+ ### Data Splits
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+
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+ [More Information Needed]
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
109
+ [More Information Needed]
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+
111
+ ## Considerations for Using the Data
112
+
113
+ ### Social Impact of Dataset
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+
115
+ [More Information Needed]
116
+
117
+ ### Discussion of Biases
118
+
119
+ [More Information Needed]
120
+
121
+ ### Other Known Limitations
122
+
123
+ [More Information Needed]
124
+
125
+ ## Additional Information
126
+
127
+ ### Dataset Curators
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+
129
+ [More Information Needed]
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+
131
+ ### Licensing Information
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+
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+ [More Information Needed]
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+
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+ ### Citation Information
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+
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+ No citation available for this dataset.
dataset_infos.json ADDED
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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 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:4b73839a6419b9283401f0dd8d19a5ce420c4d21b68b70d6a06dc66b1f1ff26c
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+ size 1134
peoples_daily_ner.py ADDED
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+ # coding=utf-8
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+ # Copyright 2020 HuggingFace Datasets Authors.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+
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+ # Lint as: python3
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+ """Introduction to People's Daily Dataset"""
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+
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+ import logging
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+
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+ import datasets
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+
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+
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+ _DESCRIPTION = """\
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+ People's Daily NER Dataset is a commonly used dataset for Chinese NER, with
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+ text from People's Daily (人民日报), the largest official newspaper.
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+
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+ The dataset is in BIO scheme. Entity types are: PER (person), ORG (organization)
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+ and LOC (location).
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+ """
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+
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+ _URL = "https://raw.githubusercontent.com/OYE93/Chinese-NLP-Corpus/master/NER/People's%20Daily/"
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+ _TRAINING_FILE = "example.train"
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+ _DEV_FILE = "example.dev"
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+ _TEST_FILE = "example.test"
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+
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+
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+ class PeoplesDailyConfig(datasets.BuilderConfig):
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+ """BuilderConfig for People's Daily NER"""
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+
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+ def __init__(self, **kwargs):
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+ """BuilderConfig for People's Daily NER.
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+
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+ Args:
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+ **kwargs: keyword arguments forwarded to super.
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+ """
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+ super(PeoplesDailyConfig, self).__init__(**kwargs)
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+
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+
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+ class PeoplesDailyNer(datasets.GeneratorBasedBuilder):
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+ """People's Daily NER dataset."""
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+
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+ BUILDER_CONFIGS = [
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+ PeoplesDailyConfig(
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+ name="peoples_daily_ner", version=datasets.Version("1.0.0"), description="People's Daily NER dataset"
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+ ),
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+ ]
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+
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features(
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+ {
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+ "id": datasets.Value("string"),
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+ "tokens": datasets.Sequence(datasets.Value("string")),
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+ "ner_tags": datasets.Sequence(
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+ datasets.features.ClassLabel(
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+ names=[
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+ "O",
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+ "B-PER",
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+ "I-PER",
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+ "B-ORG",
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+ "I-ORG",
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+ "B-LOC",
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+ "I-LOC",
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+ ]
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+ )
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+ ),
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+ }
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+ ),
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+ supervised_keys=None,
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+ homepage="https://github.com/OYE93/Chinese-NLP-Corpus/tree/master/NER/People's%20Daily",
83
+ )
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+
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+ def _split_generators(self, dl_manager):
86
+ """Returns SplitGenerators."""
87
+ urls_to_download = {
88
+ "train": f"{_URL}{_TRAINING_FILE}",
89
+ "dev": f"{_URL}{_DEV_FILE}",
90
+ "test": f"{_URL}{_TEST_FILE}",
91
+ }
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+ downloaded_files = dl_manager.download_and_extract(urls_to_download)
93
+
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+ return [
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+ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
96
+ datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
97
+ datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
98
+ ]
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+
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+ def _generate_examples(self, filepath):
101
+ logging.info("⏳ Generating examples from = %s", filepath)
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+ with open(filepath, encoding="utf-8") as f:
103
+ guid = 0
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+ tokens = []
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+ ner_tags = []
106
+ for line in f:
107
+ line_stripped = line.strip()
108
+ if line_stripped == "":
109
+ if tokens:
110
+ yield guid, {
111
+ "id": str(guid),
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+ "tokens": tokens,
113
+ "ner_tags": ner_tags,
114
+ }
115
+ guid += 1
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+ tokens = []
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+ ner_tags = []
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+ else:
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+ splits = line_stripped.split(" ")
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+ if len(splits) == 1:
121
+ splits.append("O")
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+ tokens.append(splits[0])
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+ ner_tags.append(splits[1])
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+ # last example
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+ yield guid, {
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+ "id": str(guid),
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+ "tokens": tokens,
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+ "ner_tags": ner_tags,
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+ }