넬

참고자료:

• 암호
• 포옹하는 얼굴

넬_믿음

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:nell/nell_belief')

• 설명 :

This dataset provides version 1115 of the belief
extracted by CMU's Never Ending Language Learner (NELL) and version
1110 of the candidate belief extracted by NELL. See
http://rtw.ml.cmu.edu/rtw/overview.  NELL is an open information
extraction system that attempts to read the Clueweb09 of 500 million
web pages (http://boston.lti.cs.cmu.edu/Data/clueweb09/) and general
web searches.

The dataset has 4 configurations: nell_belief, nell_candidate,
nell_belief_sentences, and nell_candidate_sentences. nell_belief is
certainties of belief are lower. The two sentences config extracts the
CPL sentence patterns filled with the applicable 'best' literal string
for the entities filled into the sentence patterns. And also provides
sentences found using web searches containing the entities and
relationships.

There are roughly 21M entries for nell_belief_sentences, and 100M
sentences for nell_candidate_sentences.

• 라이센스 :

• 버전 : 1115.0.0

• 분할 :

• 특징 :

{
    "entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "relation": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "value": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "iteration_of_promotion": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "score": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "source": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "entity_literal_strings": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "value_literal_strings": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "best_entity_literal_string": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "best_value_literal_string": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "categories_for_entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "categories_for_value": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "candidate_source": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

넬_후보

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:nell/nell_candidate')

• 설명 :

This dataset provides version 1115 of the belief
extracted by CMU's Never Ending Language Learner (NELL) and version
1110 of the candidate belief extracted by NELL. See
http://rtw.ml.cmu.edu/rtw/overview.  NELL is an open information
extraction system that attempts to read the Clueweb09 of 500 million
web pages (http://boston.lti.cs.cmu.edu/Data/clueweb09/) and general
web searches.

The dataset has 4 configurations: nell_belief, nell_candidate,
nell_belief_sentences, and nell_candidate_sentences. nell_belief is
certainties of belief are lower. The two sentences config extracts the
CPL sentence patterns filled with the applicable 'best' literal string
for the entities filled into the sentence patterns. And also provides
sentences found using web searches containing the entities and
relationships.

There are roughly 21M entries for nell_belief_sentences, and 100M
sentences for nell_candidate_sentences.

• 라이센스 :

• 버전 : 1110.0.0

• 분할 :

• 특징 :

{
    "entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "relation": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "value": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "iteration_of_promotion": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "score": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "source": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "entity_literal_strings": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "value_literal_strings": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "best_entity_literal_string": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "best_value_literal_string": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "categories_for_entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "categories_for_value": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "candidate_source": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

nell_belief_sentences

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:nell/nell_belief_sentences')

• 설명 :

This dataset provides version 1115 of the belief
extracted by CMU's Never Ending Language Learner (NELL) and version
1110 of the candidate belief extracted by NELL. See
http://rtw.ml.cmu.edu/rtw/overview.  NELL is an open information
extraction system that attempts to read the Clueweb09 of 500 million
web pages (http://boston.lti.cs.cmu.edu/Data/clueweb09/) and general
web searches.

The dataset has 4 configurations: nell_belief, nell_candidate,
nell_belief_sentences, and nell_candidate_sentences. nell_belief is
certainties of belief are lower. The two sentences config extracts the
CPL sentence patterns filled with the applicable 'best' literal string
for the entities filled into the sentence patterns. And also provides
sentences found using web searches containing the entities and
relationships.

There are roughly 21M entries for nell_belief_sentences, and 100M
sentences for nell_candidate_sentences.

• 라이센스 :

• 버전 : 1115.0.0

• 분할 :

• 특징 :

{
    "entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "relation": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "value": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "score": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "count": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence_type": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

nell_candidate_sentences

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:nell/nell_candidate_sentences')

• 설명 :

This dataset provides version 1115 of the belief
extracted by CMU's Never Ending Language Learner (NELL) and version
1110 of the candidate belief extracted by NELL. See
http://rtw.ml.cmu.edu/rtw/overview.  NELL is an open information
extraction system that attempts to read the Clueweb09 of 500 million
web pages (http://boston.lti.cs.cmu.edu/Data/clueweb09/) and general
web searches.

The dataset has 4 configurations: nell_belief, nell_candidate,
nell_belief_sentences, and nell_candidate_sentences. nell_belief is
certainties of belief are lower. The two sentences config extracts the
CPL sentence patterns filled with the applicable 'best' literal string
for the entities filled into the sentence patterns. And also provides
sentences found using web searches containing the entities and
relationships.

There are roughly 21M entries for nell_belief_sentences, and 100M
sentences for nell_candidate_sentences.

• 라이센스 :

• 버전 : 1110.0.0

• 분할 :

• 특징 :

{
    "entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "relation": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "value": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "score": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "count": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence_type": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}