Attend the Women in ML Symposium on December 7 Register now

peoples_daily_ner

References:

peoples_daily_ner

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:peoples_daily_ner/peoples_daily_ner')
  • Description:
People's Daily NER Dataset is a commonly used dataset for Chinese NER, with
text from People's Daily (人民日报), the largest official newspaper.

The dataset is in BIO scheme. Entity types are: PER (person), ORG (organization)
and LOC (location).
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 4637
'train' 20865
'validation' 2319
  • Features:
{
    "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": 7,
            "names": [
                "O",
                "B-PER",
                "I-PER",
                "B-ORG",
                "I-ORG",
                "B-LOC",
                "I-LOC"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}