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--- |
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task_categories: |
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- token-classification |
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language: |
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- ar |
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size_categories: |
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- 10K<n<100K |
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--- |
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## Arabic NER |
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Sample of the Arabic NER data |
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## Usage |
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```bash |
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pip install datasets |
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``` |
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Login: |
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``` |
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huggingface-cli login |
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``` |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("iahlt/arabic_ner_mafat") |
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``` |
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## Sample |
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```json |
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{'id': '42', |
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'ner_tags': [32, |
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32, |
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32, |
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32, |
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32, |
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32, |
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32, |
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32, |
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32, |
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32, |
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32, |
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32, |
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32, |
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32, |
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32, |
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32, |
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32, |
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30, |
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28, |
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28, |
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31], |
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'raw_tags': ['O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'O', |
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'B-MISC', |
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'I-MISC', |
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'I-MISC', |
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'L-MISC'], |
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'record': '{"metadata": {"doc_id": ' |
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'"0142895c6cdb030b10c8cc2e5c9639f9422bf22ef45a1b314d7a366fc6489938", ' |
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'"url": "https://www.alarab.com//Article/1004953", "source": ' |
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'"AlArab", "title": "فوائد غير متوقعة للعلكة الخالية من السكر.. ' |
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'اكتشفوها معنا!", "authors": "كل العرب (تصوير: iStockphoto)", ' |
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'"date": "2021-08-30 13:25:01", "domains": "التغذية الصحيحة:فوائد ' |
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'العلكة الخالية من السكر", "parnumber": "36", "sentnumber": "1", ' |
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'"manually_qa-ed": "Yes"}, "text": "يجب عليك الامتناع عن مضغ العلكة ' |
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'إذا كنت تعاني من أي نوع من الام الفك أو اضطراب الصدغي الفكي.", ' |
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'"label": [[75, 94, "MISC"]], "user": "nlhowell", "timestamp": ' |
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'1685356359.342268, "flatten": {"tokens": ["يجب", "علي", "ك", ' |
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'"الامتناع", "عن", "مضغ", "العلكة", "إذا", "كنت", "تعاني", "من", ' |
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'"أي", "نوع", "من", "الام", "الفك", "أو", "اضطراب", "الصدغي", ' |
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'"الفكي", "."], "ner_tags": ["O", "O", "O", "O", "O", "O", "O", ' |
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'"O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-MISC", ' |
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'"I-MISC", "I-MISC", "L-MISC"]}}', |
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'tokens': ['يجب', |
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'علي', |
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'ك', |
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'الامتناع', |
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'عن', |
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'مضغ', |
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'العلكة', |
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'إذا', |
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'كنت', |
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'تعاني', |
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'من', |
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'أي', |
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'نوع', |
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'من', |
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'الام', |
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'الفك', |
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'أو', |
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'اضطراب', |
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'الصدغي', |
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'الفكي', |
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'.']} |
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``` |
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## Visualization |
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```bash |
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pip install spacy ipython -q |
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``` |
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```python |
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import json |
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from spacy.training import offsets_to_biluo_tags, biluo_tags_to_spans |
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record = ds[676] |
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record["record"] = json.loads(record["record"]) |
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ner_tags = record["raw_tags"] |
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tokens = record["tokens"] |
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doc = spacy.tokens.Doc(spacy.blank("ar").vocab, words=tokens) |
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doc.ents = biluo_tags_to_spans(doc, ner_tags) |
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print(record["record"]["text"]) |
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spacy.displacy.render(doc, style="ent", jupyter=True) |
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``` |
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