Referanslar:
daha iyi
Bu veri kümesini TFDS'ye yüklemek için aşağıdaki komutu kullanın:
ds = tfds.load('huggingface:thainer/thainer')
- Tanım :
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.
- Lisans : CC-BY 3.0
- Sürüm : 1.3.0
- Bölünmeler :
| Bölmek | Örnekler |
|---|---|
'train' | 6348 |
- Özellikler :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"tokens": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"pos_tags": {
"feature": {
"num_classes": 14,
"names": [
"ADJ",
"ADP",
"ADV",
"AUX",
"CCONJ",
"DET",
"NOUN",
"NUM",
"PART",
"PRON",
"PROPN",
"PUNCT",
"SCONJ",
"VERB"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"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",
"B-TIME",
"B-URL",
"B-ZIP",
"B-\u0e44\u0e21\u0e48\u0e22\u0e37\u0e19\u0e22\u0e31\u0e19",
"I-DATE",
"I-EMAIL",
"I-LAW",
"I-LEN",
"I-LOCATION",
"I-MONEY",
"I-ORGANIZATION",
"I-PERCENT",
"I-PERSON",
"I-PHONE",
"I-TIME",
"I-URL",
"I-\u0e44\u0e21\u0e48\u0e22\u0e37\u0e19\u0e22\u0e31\u0e19",
"O"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}