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README.md

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----
-language:
-- en
-license:
-- other
-multilinguality:
-- monolingual
-size_categories:
-- 1k<10K
-task_categories:
-- token-classification
-task_ids:
-- named-entity-recognition
-pretty_name: TweeBank NER
----
-
-# Dataset Card for "tner/tweebank_ner"
-
-## Dataset Description
-
-- **Repository:** [T-NER](https://github.com/asahi417/tner)
-- **Paper:** [https://arxiv.org/abs/2201.07281](https://arxiv.org/abs/2201.07281)
-- **Dataset:** TweeBank NER
-- **Domain:** Twitter
-- **Number of Entity:** 4
-
-
-### Dataset Summary
-TweeBank NER dataset formatted in a part of [TNER](https://github.com/asahi417/tner) project.
-- Entity Types: `LOC`, `MISC`, `PER`, `ORG`
-
-## Dataset Structure
-
-### Data Instances
-An example of `train` looks as follows.
-
-```
-{
-    'tokens': ['RT', '@USER2362', ':', 'Farmall', 'Heart', 'Of', 'The', 'Holidays', 'Tabletop', 'Christmas', 'Tree', 'With', 'Lights', 'And', 'Motion', 'URL1087', '#Holiday', '#Gifts'],
-    'tags': [8, 8, 8, 2, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8]
-}
-```
-
-### Label ID
-The label2id dictionary can be found at [here](https://huggingface.co/datasets/tner/tweebank_ner/raw/main/dataset/label.json).
-```python
-{
-    "B-LOC": 0,
-    "B-MISC": 1,
-    "B-ORG": 2,
-    "B-PER": 3,
-    "I-LOC": 4,
-    "I-MISC": 5,
-    "I-ORG": 6,
-    "I-PER": 7,
-    "O": 8
-}
-```
-
-### Data Splits
-
-|  name   |train|validation|test|
-|---------|----:|---------:|---:|
-|tweebank_ner | 1639|      710 |1201|
-
-### Citation Information
-
-```
-@article{DBLP:journals/corr/abs-2201-07281,
-  author    = {Hang Jiang and
-               Yining Hua and
-               Doug Beeferman and
-               Deb Roy},
-  title     = {Annotating the Tweebank Corpus on Named Entity Recognition and Building
-               {NLP} Models for Social Media Analysis},
-  journal   = {CoRR},
-  volume    = {abs/2201.07281},
-  year      = {2022},
-  url       = {https://arxiv.org/abs/2201.07281},
-  eprinttype = {arXiv},
-  eprint    = {2201.07281},
-  timestamp = {Fri, 21 Jan 2022 13:57:15 +0100},
-  biburl    = {https://dblp.org/rec/journals/corr/abs-2201-07281.bib},
-  bibsource = {dblp computer science bibliography, https://dblp.org}
-}
-```

dataset/label.json

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-{"B-LOC": 0, "B-MISC": 1, "B-ORG": 2, "B-PER": 3, "I-LOC": 4, "I-MISC": 5, "I-ORG": 6, "I-PER": 7, "O": 8}

tweebank_ner.py

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-""" NER dataset compiled by T-NER library https://github.com/asahi417/tner/tree/master/tner """
-import json
-from itertools import chain
-import datasets
-
-logger = datasets.logging.get_logger(__name__)
-_DESCRIPTION = """[Tweebank NER](https://arxiv.org/abs/2201.07281)"""
-_NAME = "tweebank_ner"
-_VERSION = "1.0.1"
-_CITATION = """
-@article{DBLP:journals/corr/abs-2201-07281,
-  author    = {Hang Jiang and
-               Yining Hua and
-               Doug Beeferman and
-               Deb Roy},
-  title     = {Annotating the Tweebank Corpus on Named Entity Recognition and Building
-               {NLP} Models for Social Media Analysis},
-  journal   = {CoRR},
-  volume    = {abs/2201.07281},
-  year      = {2022},
-  url       = {https://arxiv.org/abs/2201.07281},
-  eprinttype = {arXiv},
-  eprint    = {2201.07281},
-  timestamp = {Fri, 21 Jan 2022 13:57:15 +0100},
-  biburl    = {https://dblp.org/rec/journals/corr/abs-2201-07281.bib},
-  bibsource = {dblp computer science bibliography, https://dblp.org}
-}
-"""
-
-_HOME_PAGE = "https://github.com/asahi417/tner"
-_URL = f'https://huggingface.co/datasets/tner/{_NAME}/raw/main/dataset'
-_URLS = {
-    str(datasets.Split.TEST): [f'{_URL}/test.json'],
-    str(datasets.Split.TRAIN): [f'{_URL}/train.json'],
-    str(datasets.Split.VALIDATION): [f'{_URL}/valid.json'],
-}
-
-
-class TweebankNERConfig(datasets.BuilderConfig):
-    """BuilderConfig"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig.
-
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(TweebankNERConfig, self).__init__(**kwargs)
-
-
-class TweebankNER(datasets.GeneratorBasedBuilder):
-    """Dataset."""
-
-    BUILDER_CONFIGS = [
-        TweebankNERConfig(name=_NAME, version=datasets.Version(_VERSION), description=_DESCRIPTION),
-    ]
-
-    def _split_generators(self, dl_manager):
-        downloaded_file = dl_manager.download_and_extract(_URLS)
-        return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]})
-                for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]]
-
-    def _generate_examples(self, filepaths):
-        _key = 0
-        for filepath in filepaths:
-            logger.info(f"generating examples from = {filepath}")
-            with open(filepath, encoding="utf-8") as f:
-                _list = [i for i in f.read().split('\n') if len(i) > 0]
-                for i in _list:
-                    data = json.loads(i)
-                    yield _key, data
-                    _key += 1
-
-    def _info(self):
-        names = ["B-LOC", "B-MISC", "B-ORG", "B-PER", "I-LOC", "I-MISC", "I-ORG", "I-PER", "O"]
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "tokens": datasets.Sequence(datasets.Value("string")),
-                    "tags": datasets.Sequence(datasets.features.ClassLabel(names=names)),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOME_PAGE,
-            citation=_CITATION,
-        )

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