lebih halus

Referensi:

• Kode
• wajah berpelukan

lebih baik

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:finer/finer')

• Keterangan :

The directory data contains a corpus of Finnish technology related news articles with a manually prepared
named entity annotation (digitoday.2014.csv). The text material was extracted from the archives of Digitoday,
a Finnish online technology news source (www.digitoday.fi). The corpus consists of 953 articles
(193,742 word tokens) with six named entity classes (organization, location, person, product, event, and date).
The corpus is available for research purposes and can be readily used for development of NER systems for Finnish.

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

• Fitur :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "tokens": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "ner_tags": {
        "feature": {
            "num_classes": 13,
            "names": [
                "O",
                "B-DATE",
                "B-EVENT",
                "B-LOC",
                "B-ORG",
                "B-PER",
                "B-PRO",
                "I-DATE",
                "I-EVENT",
                "I-LOC",
                "I-ORG",
                "I-PER",
                "I-PRO"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "nested_ner_tags": {
        "feature": {
            "num_classes": 13,
            "names": [
                "O",
                "B-DATE",
                "B-EVENT",
                "B-LOC",
                "B-ORG",
                "B-PER",
                "B-PRO",
                "I-DATE",
                "I-EVENT",
                "I-LOC",
                "I-ORG",
                "I-PER",
                "I-PRO"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}