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• صورت در آغوش گرفته

تاینر

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:thainer/thainer')

• توضیحات :

ThaiNER (v1.3) is a 6,456-sentence named entity recognition dataset created from expanding the 2,258-sentence
[unnamed dataset](http://pioneer.chula.ac.th/~awirote/Data-Nutcha.zip) by
[Tirasaroj and Aroonmanakun (2012)](http://pioneer.chula.ac.th/~awirote/publications/).
It is used to train NER taggers in [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp).
The NER tags are annotated by [Tirasaroj and Aroonmanakun (2012)]((http://pioneer.chula.ac.th/~awirote/publications/))
for 2,258 sentences and the rest by [@wannaphong](https://github.com/wannaphong/).
The POS tags are done by [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp)'s `perceptron` engine trained on `orchid_ud`.
[@wannaphong](https://github.com/wannaphong/) is now the only maintainer of this dataset.

• مجوز : CC-BY 3.0
• نسخه : 1.3.0
• تقسیمات :

• ویژگی ها :

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    "pos_tags": {
        "feature": {
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            "names": [
                "ADJ",
                "ADP",
                "ADV",
                "AUX",
                "CCONJ",
                "DET",
                "NOUN",
                "NUM",
                "PART",
                "PRON",
                "PROPN",
                "PUNCT",
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    "ner_tags": {
        "feature": {
            "num_classes": 28,
            "names": [
                "B-DATE",
                "B-EMAIL",
                "B-LAW",
                "B-LEN",
                "B-LOCATION",
                "B-MONEY",
                "B-ORGANIZATION",
                "B-PERCENT",
                "B-PERSON",
                "B-PHONE",
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                "I-LAW",
                "I-LEN",
                "I-LOCATION",
                "I-MONEY",
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                "I-PHONE",
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