xsum_factuality

อ้างอิง:

xsum_factuality

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xsum_factuality/xsum_factuality')
  • คำอธิบาย :
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.
แยก ตัวอย่าง
'train' 5597
  • คุณสมบัติ :
{
    "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

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xsum_factuality/xsum_faithfulness')
  • คำอธิบาย :
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.
แยก ตัวอย่าง
'train' 11185
  • คุณสมบัติ :
{
    "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"
    }
}