참고자료:
xsum_사실
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:xsum_factuality/xsum_factuality')
- 설명 :
Neural abstractive summarization models are highly prone to hallucinate content that is unfaithful to the input
document. The popular metric such as ROUGE fails to show the severity of the problem. The dataset consists of
faithfulness and factuality annotations of abstractive summaries for the XSum dataset. We have crowdsourced 3 judgements
for each of 500 x 5 document-system pairs. This will be a valuable resource to the abstractive summarization community.
- 라이센스 : https://creativecommons.org/licenses/by/4.0/
- 버전 : 1.1.0
- 분할 :
나뉘다 | 예 |
---|---|
'train' | 5597 |
- 특징 :
{
"bbcid": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"system": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"summary": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"is_factual": {
"num_classes": 2,
"names": [
"no",
"yes"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"worker_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
xsum_faithfulness
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:xsum_factuality/xsum_faithfulness')
- 설명 :
Neural abstractive summarization models are highly prone to hallucinate content that is unfaithful to the input
document. The popular metric such as ROUGE fails to show the severity of the problem. The dataset consists of
faithfulness and factuality annotations of abstractive summaries for the XSum dataset. We have crowdsourced 3 judgements
for each of 500 x 5 document-system pairs. This will be a valuable resource to the abstractive summarization community.
- 라이센스 : https://creativecommons.org/licenses/by/4.0/
- 버전 : 1.1.0
- 분할 :
나뉘다 | 예 |
---|---|
'train' | 11185 |
- 특징 :
{
"bbcid": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"system": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"summary": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hallucination_type": {
"num_classes": 2,
"names": [
"intrinsic",
"extrinsic"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"hallucinated_span_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"hallucinated_span_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"worker_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}