참조:
Ade_corpus_v2_classification
다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.
ds = tfds.load('huggingface:ade_corpus_v2/Ade_corpus_v2_classification')
- 설명 :
ADE-Corpus-V2 Dataset: Adverse Drug Reaction Data.
This is a dataset for Classification if a sentence is ADE-related (True) or not (False) and Relation Extraction between Adverse Drug Event and Drug.
DRUG-AE.rel provides relations between drugs and adverse effects.
DRUG-DOSE.rel provides relations between drugs and dosages.
ADE-NEG.txt provides all sentences in the ADE corpus that DO NOT contain any drug-related adverse effects.
- 라이선스 : 알려진 라이선스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 23516 |
- 특징 :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"Not-Related",
"Related"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Ade_corpus_v2_drug_ade_relation
다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.
ds = tfds.load('huggingface:ade_corpus_v2/Ade_corpus_v2_drug_ade_relation')
- 설명 :
ADE-Corpus-V2 Dataset: Adverse Drug Reaction Data.
This is a dataset for Classification if a sentence is ADE-related (True) or not (False) and Relation Extraction between Adverse Drug Event and Drug.
DRUG-AE.rel provides relations between drugs and adverse effects.
DRUG-DOSE.rel provides relations between drugs and dosages.
ADE-NEG.txt provides all sentences in the ADE corpus that DO NOT contain any drug-related adverse effects.
- 라이선스 : 알려진 라이선스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 6821 |
- 특징 :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"drug": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"effect": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"indexes": {
"drug": {
"feature": {
"start_char": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_char": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"effect": {
"feature": {
"start_char": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_char": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
}
Ade_corpus_v2_drug_dosage_relation
다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.
ds = tfds.load('huggingface:ade_corpus_v2/Ade_corpus_v2_drug_dosage_relation')
- 설명 :
ADE-Corpus-V2 Dataset: Adverse Drug Reaction Data.
This is a dataset for Classification if a sentence is ADE-related (True) or not (False) and Relation Extraction between Adverse Drug Event and Drug.
DRUG-AE.rel provides relations between drugs and adverse effects.
DRUG-DOSE.rel provides relations between drugs and dosages.
ADE-NEG.txt provides all sentences in the ADE corpus that DO NOT contain any drug-related adverse effects.
- 라이선스 : 알려진 라이선스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 279 |
- 특징 :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"drug": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"dosage": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"indexes": {
"drug": {
"feature": {
"start_char": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_char": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"dosage": {
"feature": {
"start_char": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_char": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
}