วิกิฮาว

อ้างอิง:

• รหัส
• กอดหน้า

ทั้งหมด

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:wikihow/all')

• คำอธิบาย :

WikiHow is a new large-scale dataset using the online WikiHow
(http://www.wikihow.com/) knowledge base.

There are two features:
  - text: wikihow answers texts.
  - headline: bold lines as summary.

There are two separate versions:
  - all: consisting of the concatenation of all paragraphs as the articles and
         the bold lines as the reference summaries.
  - sep: consisting of each paragraph and its summary.

Download "wikihowAll.csv" and "wikihowSep.csv" from
https://github.com/mahnazkoupaee/WikiHow-Dataset and place them in manual folder
https://www.tensorflow.org/datasets/api_docs/python/tfds/download/DownloadConfig.
Train/validation/test splits are provided by the authors.
Preprocessing is applied to remove short articles
(abstract length < 0.75 article length) and clean up extra commas.

• ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
• เวอร์ชั่น : 1.2.0
• แยก :

แยก	ตัวอย่าง
'test'	5577
'train'	157252
'validation'	5599

• คุณสมบัติ :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "headline": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ก.ย

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:wikihow/sep')

• คำอธิบาย :

WikiHow is a new large-scale dataset using the online WikiHow
(http://www.wikihow.com/) knowledge base.

There are two features:
  - text: wikihow answers texts.
  - headline: bold lines as summary.

There are two separate versions:
  - all: consisting of the concatenation of all paragraphs as the articles and
         the bold lines as the reference summaries.
  - sep: consisting of each paragraph and its summary.

Download "wikihowAll.csv" and "wikihowSep.csv" from
https://github.com/mahnazkoupaee/WikiHow-Dataset and place them in manual folder
https://www.tensorflow.org/datasets/api_docs/python/tfds/download/DownloadConfig.
Train/validation/test splits are provided by the authors.
Preprocessing is applied to remove short articles
(abstract length < 0.75 article length) and clean up extra commas.

• ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
• เวอร์ชั่น : 1.2.0
• แยก :

แยก	ตัวอย่าง
'test'	37800
'train'	1060732
'validation'	37932

• คุณสมบัติ :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "headline": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "overview": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sectionLabel": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}