TFDS รองรับ รูปแบบ Croissant 🥐 แล้ว! อ่าน เอกสาร เพื่อทราบข้อมูลเพิ่มเติม

หน้านี้ได้รับการแปลโดย Cloud Translation API

xglue

อ้างอิง:

เนอร์

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xglue/ner')

คำอธิบาย :

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)

For more information, please take a look at https://microsoft.github.io/XGLUE/.

ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test.de'`	3007
`'test.en'`	3454
`'test.es'`	1523
`'test.nl'`	5202
`'train'`	14042
`'validation.de'`	2874
`'validation.en'`	3252
`'validation.es'`	2466
`'validation.nl'`	2895

คุณสมบัติ :

{
    "words": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "ner": {
        "feature": {
            "num_classes": 9,
            "names": [
                "O",
                "B-PER",
                "I-PER",
                "B-ORG",
                "I-ORG",
                "B-LOC",
                "I-LOC",
                "B-MISC",
                "I-MISC"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ตำแหน่ง

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xglue/pos')

คำอธิบาย :

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)

For more information, please take a look at https://microsoft.github.io/XGLUE/.

ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test.ar'`	679
`'test.bg'`	1115
`'test.de'`	976
`'test.el'`	455
`'test.en'`	2076
`'test.es'`	425
`'test.fr'`	415
`'test.hi'`	1683
`'test.it'`	481
`'test.nl'`	595
`'test.pl'`	2214
`'test.ru'`	600
`'test.th'`	497
`'test.tr'`	982
`'test.ur'`	534
`'test.vi'`	799
`'test.zh'`	499
`'train'`	25376
`'validation.ar'`	908
`'validation.bg'`	1114
`'validation.de'`	798
`'validation.el'`	402
`'validation.en'`	2544
`'validation.es'`	1399
`'validation.fr'`	1475
`'validation.hi'`	1658
`'validation.it'`	563
`'validation.nl'`	717
`'validation.pl'`	2214
`'validation.ru'`	578
`'validation.th'`	497
`'validation.tr'`	987
`'validation.ur'`	551
`'validation.vi'`	799
`'validation.zh'`	499

คุณสมบัติ :

{
    "words": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "pos": {
        "feature": {
            "num_classes": 17,
            "names": [
                "ADJ",
                "ADP",
                "ADV",
                "AUX",
                "CCONJ",
                "DET",
                "INTJ",
                "NOUN",
                "NUM",
                "PART",
                "PRON",
                "PROPN",
                "PUNCT",
                "SCONJ",
                "SYM",
                "VERB",
                "X"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

มลกา

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xglue/mlqa')

คำอธิบาย :

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)

For more information, please take a look at https://microsoft.github.io/XGLUE/.

ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test.ar'`	5335
`'test.de'`	4517
`'test.en'`	11590
`'test.es'`	5253
`'test.hi'`	4918
`'test.vi'`	5495
`'test.zh'`	5137
`'train'`	87599
`'validation.ar'`	517
`'validation.de'`	512
`'validation.en'`	1148
`'validation.es'`	500
`'validation.hi'`	507
`'validation.vi'`	511
`'validation.zh'`	504

คุณสมบัติ :

{
    "context": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "answer_start": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

nc

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xglue/nc')

คำอธิบาย :

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)

For more information, please take a look at https://microsoft.github.io/XGLUE/.

ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test.de'`	10,000
`'test.en'`	10,000
`'test.es'`	10,000
`'test.fr'`	10,000
`'test.ru'`	10,000
`'train'`	100000
`'validation.de'`	10,000
`'validation.en'`	10,000
`'validation.es'`	10,000
`'validation.fr'`	10,000
`'validation.ru'`	10,000

คุณสมบัติ :

{
    "news_title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "news_body": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "news_category": {
        "num_classes": 10,
        "names": [
            "foodanddrink",
            "sports",
            "travel",
            "finance",
            "lifestyle",
            "news",
            "entertainment",
            "health",
            "video",
            "autos"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

xnli

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xglue/xnli')

คำอธิบาย :

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)

For more information, please take a look at https://microsoft.github.io/XGLUE/.

ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test.ar'`	5010
`'test.bg'`	5010
`'test.de'`	5010
`'test.el'`	5010
`'test.en'`	5010
`'test.es'`	5010
`'test.fr'`	5010
`'test.hi'`	5010
`'test.ru'`	5010
`'test.sw'`	5010
`'test.th'`	5010
`'test.tr'`	5010
`'test.ur'`	5010
`'test.vi'`	5010
`'test.zh'`	5010
`'train'`	392702
`'validation.ar'`	2490
`'validation.bg'`	2490
`'validation.de'`	2490
`'validation.el'`	2490
`'validation.en'`	2490
`'validation.es'`	2490
`'validation.fr'`	2490
`'validation.hi'`	2490
`'validation.ru'`	2490
`'validation.sw'`	2490
`'validation.th'`	2490
`'validation.tr'`	2490
`'validation.ur'`	2490
`'validation.vi'`	2490
`'validation.zh'`	2490

คุณสมบัติ :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

อุ้งเท้า-x

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xglue/paws-x')

คำอธิบาย :

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)

For more information, please take a look at https://microsoft.github.io/XGLUE/.

ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test.de'`	2000
`'test.en'`	2000
`'test.es'`	2000
`'test.fr'`	2000
`'train'`	49401
`'validation.de'`	2000
`'validation.en'`	2000
`'validation.es'`	2000
`'validation.fr'`	2000

คุณสมบัติ :

{
    "sentence1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "different",
            "same"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

กัดเอสเอ็ม

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xglue/qadsm')

คำอธิบาย :

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)

For more information, please take a look at https://microsoft.github.io/XGLUE/.

ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test.de'`	10,000
`'test.en'`	10,000
`'test.fr'`	10,000
`'train'`	100000
`'validation.de'`	10,000
`'validation.en'`	10,000
`'validation.fr'`	10,000

คุณสมบัติ :

{
    "query": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "ad_title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "ad_description": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "relevance_label": {
        "num_classes": 2,
        "names": [
            "Bad",
            "Good"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

หน้า

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xglue/wpr')

คำอธิบาย :

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)

For more information, please take a look at https://microsoft.github.io/XGLUE/.

ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test.de'`	9997
`'test.en'`	10004
`'test.es'`	10006
`'test.fr'`	10020
`'test.it'`	10001
`'test.pt'`	10015
`'test.zh'`	9999
`'train'`	99997
`'validation.de'`	10004
`'validation.en'`	10008
`'validation.es'`	10004
`'validation.fr'`	10005
`'validation.it'`	10003
`'validation.pt'`	10001
`'validation.zh'`	10002

คุณสมบัติ :

{
    "query": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "web_page_title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "web_page_snippet": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "relavance_label": {
        "num_classes": 5,
        "names": [
            "Bad",
            "Fair",
            "Good",
            "Excellent",
            "Perfect"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

คัม

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xglue/qam')

คำอธิบาย :

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)

For more information, please take a look at https://microsoft.github.io/XGLUE/.

ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test.de'`	10,000
`'test.en'`	10,000
`'test.fr'`	10,000
`'train'`	100000
`'validation.de'`	10,000
`'validation.en'`	10,000
`'validation.fr'`	10,000

คุณสมบัติ :

{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "False",
            "True"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

สอบ

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xglue/qg')

คำอธิบาย :

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)

For more information, please take a look at https://microsoft.github.io/XGLUE/.

ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test.de'`	10,000
`'test.en'`	10,000
`'test.es'`	10,000
`'test.fr'`	10,000
`'test.it'`	10,000
`'test.pt'`	10,000
`'train'`	100000
`'validation.de'`	10,000
`'validation.en'`	10,000
`'validation.es'`	10,000
`'validation.fr'`	10,000
`'validation.it'`	10,000
`'validation.pt'`	10,000

คุณสมบัติ :

{
    "answer_passage": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ntg

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:xglue/ntg')

คำอธิบาย :

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)

For more information, please take a look at https://microsoft.github.io/XGLUE/.

ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test.de'`	10,000
`'test.en'`	10,000
`'test.es'`	10,000
`'test.fr'`	10,000
`'test.ru'`	10,000
`'train'`	300000
`'validation.de'`	10,000
`'validation.en'`	10,000
`'validation.es'`	10,000
`'validation.fr'`	10,000
`'validation.ru'`	10,000

คุณสมบัติ :

{
    "news_body": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "news_title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}