مراجع:
xsum_factuality
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:xsum_factuality/xsum_factuality')
- توضیحات :
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.
- مجوز : https://creativecommons.org/licenses/by/4.0/
- نسخه : 1.1.0
- تقسیم ها :
تقسیم کنید | نمونه ها |
---|---|
'train' | 5597 |
- ویژگی ها :
{
"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
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:xsum_factuality/xsum_faithfulness')
- توضیحات :
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.
- مجوز : https://creativecommons.org/licenses/by/4.0/
- نسخه : 1.1.0
- تقسیم ها :
تقسیم کنید | نمونه ها |
---|---|
'train' | 11185 |
- ویژگی ها :
{
"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"
}
}