อยากรู้อยากเห็น_qg

อ้างอิง:

plain_text

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:inquisitive_qg/plain_text')
  • คำอธิบาย :
A dataset of about 20k questions that are elicited from readers as they naturally read through a document sentence by sentence. Compared to existing datasets, INQUISITIVE questions target more towards high-level (semantic and discourse) comprehension of text. Because these questions are generated while the readers are pro-cessing the information, the questions directly communicate gaps between the readers and writers knowledge about the events described in the text, and are not necessarily answered in the document itself. This type of question reflects a real-world scenario: if one has questions during reading, some of them are answered by the text later on, the rest are not, but any of them would help further the readers understanding at the particular point when they asked it. This resource could enable question generation models to simulate human-like curiosity and cognitive processing, which may open up a new realm of applications.
  • ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
  • เวอร์ชัน : 1.0.0
  • แยก :
แยก ตัวอย่าง
'test' พ.ศ. 2437
'train' 15931
'validation' 1991
  • คุณสมบัติ :
{
    "id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "article_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "article": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "span": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "span_start_position": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "span_end_position": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}