Rasa 트레이닝 데이터 형식 nlu.json과 nlu.md 호환

문서 목록

JSON-Markdown

명령 실행

실행 코드

Markdown-JSON

명령 실행

실행 코드

-중국어

참고문헌

실행 명령과 실행 코드 두 가지 방법이 있어요.
JSON - Markdown

{
  "rasa_nlu_data": {
    "common_examples": [
      {
        "text": "hey",
        "intent": "greet",
        "entities": []
      },
      {
        "text": "hello",
        "intent": "greet",
        "entities": []
      },
      {
        "text": "i'm looking for a place in the north of town",
        "intent": "restaurant_search",
        "entities": [
          {
            "start": 31,
            "end": 36,
            "value": "north",
            "entity": "location"
          }
        ]
      },
      {
        "text": "yes",
        "intent": "affirm",
        "entities": []
      },
      {
        "text": "show me a mexican place in the centre",
        "intent": "restaurant_search",
        "entities": [
          {
            "start": 31,
            "end": 37,
            "value": "centre",
            "entity": "location"
          },
          {
            "start": 10,
            "end": 17,
            "value": "mexican",
            "entity": "cuisine"
          }
        ]
      },
      {
        "text": "bye",
        "intent": "goodbye",
        "entities": []
      },
      {
        "text": "goodbye",
        "intent": "goodbye",
        "entities": []
      },
      {
        "text": "i am looking for an indian spot",
        "intent": "restaurant_search",
        "entities": [
          {
            "start": 20,
            "end": 26,
            "value": "indian",
            "entity": "cuisine"
          }
        ]
      },
      {
        "text": "central indian restaurant",
        "intent": "restaurant_search",
        "entities": [
          {
            "start": 0,
            "end": 7,
            "value": "central",
            "entity": "location"
          },
          {
            "start": 8,
            "end": 14,
            "value": "indian",
            "entity": "cuisine"
          }
        ]
      }
    ]
  }
}

명령을 집행하다rasa data convert nlu --data data/nlu.md --out data/nlu.json -f json
실행 코드

from rasa.nlu.training_data import load_data

input_file = 'nlu.json'
output_file = 'nlu.md'

with open(output_file, 'w') as f:
    f.write(load_data(input_file).as_markdown())

Markdown - JSON

## intent:affirm
- yes

## intent:goodbye
- bye
- goodbye

## intent:greet
- hey
- hello

## intent:restaurant_search
- i'm looking for a place in the [north](location) of town
- show me a [mexican](cuisine) place in the [centre](location)
- i am looking for an [indian](cuisine) spot
- [central](location) [indian](cuisine) restaurant

명령을 집행하다rasa data convert nlu --data data/nlu.json --out data/nlu.md -f md
실행 코드

from rasa.nlu.training_data import load_data

input_file = 'nlu.md'
output_file = 'nlu.json'

with open(output_file, 'w') as f:
    f.write(load_data(input_file).as_json())

중국어로 바꾸다encoding='utf-8' language='zh'

from rasa.nlu.training_data import load_data

input_file = 'nlu.json'
output_file = 'nlu.md'

with open(output_file, 'w', encoding='utf-8') as f:
    f.write(load_data(input_file, language='zh').as_markdown())

참고 문헌

Training Data Format

Convert a Rasa NLU training file from JSON to Markdown format

mmand Line Interface