german_legal_entity_recognition

References:

bag

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:german_legal_entity_recognition/bag')
  • Description:

  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'train' 0
  • 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": 39,
            "names": [
                "B-AN",
                "B-EUN",
                "B-GRT",
                "B-GS",
                "B-INN",
                "B-LD",
                "B-LDS",
                "B-LIT",
                "B-MRK",
                "B-ORG",
                "B-PER",
                "B-RR",
                "B-RS",
                "B-ST",
                "B-STR",
                "B-UN",
                "B-VO",
                "B-VS",
                "B-VT",
                "I-AN",
                "I-EUN",
                "I-GRT",
                "I-GS",
                "I-INN",
                "I-LD",
                "I-LDS",
                "I-LIT",
                "I-MRK",
                "I-ORG",
                "I-PER",
                "I-RR",
                "I-RS",
                "I-ST",
                "I-STR",
                "I-UN",
                "I-VO",
                "I-VS",
                "I-VT",
                "O"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

bfh

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:german_legal_entity_recognition/bfh')
  • Description:

  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'train' 0
  • 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": 39,
            "names": [
                "B-AN",
                "B-EUN",
                "B-GRT",
                "B-GS",
                "B-INN",
                "B-LD",
                "B-LDS",
                "B-LIT",
                "B-MRK",
                "B-ORG",
                "B-PER",
                "B-RR",
                "B-RS",
                "B-ST",
                "B-STR",
                "B-UN",
                "B-VO",
                "B-VS",
                "B-VT",
                "I-AN",
                "I-EUN",
                "I-GRT",
                "I-GS",
                "I-INN",
                "I-LD",
                "I-LDS",
                "I-LIT",
                "I-MRK",
                "I-ORG",
                "I-PER",
                "I-RR",
                "I-RS",
                "I-ST",
                "I-STR",
                "I-UN",
                "I-VO",
                "I-VS",
                "I-VT",
                "O"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

bgh

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:german_legal_entity_recognition/bgh')
  • Description:

  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'train' 0
  • 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": 39,
            "names": [
                "B-AN",
                "B-EUN",
                "B-GRT",
                "B-GS",
                "B-INN",
                "B-LD",
                "B-LDS",
                "B-LIT",
                "B-MRK",
                "B-ORG",
                "B-PER",
                "B-RR",
                "B-RS",
                "B-ST",
                "B-STR",
                "B-UN",
                "B-VO",
                "B-VS",
                "B-VT",
                "I-AN",
                "I-EUN",
                "I-GRT",
                "I-GS",
                "I-INN",
                "I-LD",
                "I-LDS",
                "I-LIT",
                "I-MRK",
                "I-ORG",
                "I-PER",
                "I-RR",
                "I-RS",
                "I-ST",
                "I-STR",
                "I-UN",
                "I-VO",
                "I-VS",
                "I-VT",
                "O"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

bpatg

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:german_legal_entity_recognition/bpatg')
  • Description:

  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'train' 0
  • 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": 39,
            "names": [
                "B-AN",
                "B-EUN",
                "B-GRT",
                "B-GS",
                "B-INN",
                "B-LD",
                "B-LDS",
                "B-LIT",
                "B-MRK",
                "B-ORG",
                "B-PER",
                "B-RR",
                "B-RS",
                "B-ST",
                "B-STR",
                "B-UN",
                "B-VO",
                "B-VS",
                "B-VT",
                "I-AN",
                "I-EUN",
                "I-GRT",
                "I-GS",
                "I-INN",
                "I-LD",
                "I-LDS",
                "I-LIT",
                "I-MRK",
                "I-ORG",
                "I-PER",
                "I-RR",
                "I-RS",
                "I-ST",
                "I-STR",
                "I-UN",
                "I-VO",
                "I-VS",
                "I-VT",
                "O"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

bsg

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:german_legal_entity_recognition/bsg')
  • Description:

  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'train' 0
  • 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": 39,
            "names": [
                "B-AN",
                "B-EUN",
                "B-GRT",
                "B-GS",
                "B-INN",
                "B-LD",
                "B-LDS",
                "B-LIT",
                "B-MRK",
                "B-ORG",
                "B-PER",
                "B-RR",
                "B-RS",
                "B-ST",
                "B-STR",
                "B-UN",
                "B-VO",
                "B-VS",
                "B-VT",
                "I-AN",
                "I-EUN",
                "I-GRT",
                "I-GS",
                "I-INN",
                "I-LD",
                "I-LDS",
                "I-LIT",
                "I-MRK",
                "I-ORG",
                "I-PER",
                "I-RR",
                "I-RS",
                "I-ST",
                "I-STR",
                "I-UN",
                "I-VO",
                "I-VS",
                "I-VT",
                "O"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

bverfg

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:german_legal_entity_recognition/bverfg')
  • Description:

  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'train' 0
  • 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": 39,
            "names": [
                "B-AN",
                "B-EUN",
                "B-GRT",
                "B-GS",
                "B-INN",
                "B-LD",
                "B-LDS",
                "B-LIT",
                "B-MRK",
                "B-ORG",
                "B-PER",
                "B-RR",
                "B-RS",
                "B-ST",
                "B-STR",
                "B-UN",
                "B-VO",
                "B-VS",
                "B-VT",
                "I-AN",
                "I-EUN",
                "I-GRT",
                "I-GS",
                "I-INN",
                "I-LD",
                "I-LDS",
                "I-LIT",
                "I-MRK",
                "I-ORG",
                "I-PER",
                "I-RR",
                "I-RS",
                "I-ST",
                "I-STR",
                "I-UN",
                "I-VO",
                "I-VS",
                "I-VT",
                "O"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

bverwg

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:german_legal_entity_recognition/bverwg')
  • Description:

  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'train' 0
  • 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": 39,
            "names": [
                "B-AN",
                "B-EUN",
                "B-GRT",
                "B-GS",
                "B-INN",
                "B-LD",
                "B-LDS",
                "B-LIT",
                "B-MRK",
                "B-ORG",
                "B-PER",
                "B-RR",
                "B-RS",
                "B-ST",
                "B-STR",
                "B-UN",
                "B-VO",
                "B-VS",
                "B-VT",
                "I-AN",
                "I-EUN",
                "I-GRT",
                "I-GS",
                "I-INN",
                "I-LD",
                "I-LDS",
                "I-LIT",
                "I-MRK",
                "I-ORG",
                "I-PER",
                "I-RR",
                "I-RS",
                "I-ST",
                "I-STR",
                "I-UN",
                "I-VO",
                "I-VS",
                "I-VT",
                "O"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

all

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:german_legal_entity_recognition/all')
  • Description:

  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'train' 0
  • 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": 39,
            "names": [
                "B-AN",
                "B-EUN",
                "B-GRT",
                "B-GS",
                "B-INN",
                "B-LD",
                "B-LDS",
                "B-LIT",
                "B-MRK",
                "B-ORG",
                "B-PER",
                "B-RR",
                "B-RS",
                "B-ST",
                "B-STR",
                "B-UN",
                "B-VO",
                "B-VS",
                "B-VT",
                "I-AN",
                "I-EUN",
                "I-GRT",
                "I-GS",
                "I-INN",
                "I-LD",
                "I-LDS",
                "I-LIT",
                "I-MRK",
                "I-ORG",
                "I-PER",
                "I-RR",
                "I-RS",
                "I-ST",
                "I-STR",
                "I-UN",
                "I-VO",
                "I-VS",
                "I-VT",
                "O"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}