id_liputan6

Referensi:

• Kode
• wajah berpelukan

resmi

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:id_liputan6/canonical')

• Keterangan :

In this paper, we introduce a large-scale Indonesian summarization dataset. We harvest articles from this http URL,
an online news portal, and obtain 215,827 document-summary pairs. We leverage pre-trained language models to develop
benchmark extractive and abstractive summarization methods over the dataset with multilingual and monolingual
BERT-based models. We include a thorough error analysis by examining machine-generated summaries that have
low ROUGE scores, and expose both issues with ROUGE it-self, as well as with extractive and abstractive
summarization models.

• Lisensi : Tidak ada lisensi yang diketahui
• Versi : 1.0.0
• Perpecahan :

• Fitur :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "clean_article": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "clean_summary": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "extractive_summary": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

xtreme

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:id_liputan6/xtreme')

• Keterangan :

In this paper, we introduce a large-scale Indonesian summarization dataset. We harvest articles from this http URL,
an online news portal, and obtain 215,827 document-summary pairs. We leverage pre-trained language models to develop
benchmark extractive and abstractive summarization methods over the dataset with multilingual and monolingual
BERT-based models. We include a thorough error analysis by examining machine-generated summaries that have
low ROUGE scores, and expose both issues with ROUGE it-self, as well as with extractive and abstractive
summarization models.

• Lisensi : Tidak ada lisensi yang diketahui
• Versi : 1.0.0
• Perpecahan :

• Fitur :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "clean_article": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "clean_summary": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "extractive_summary": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}