newsph_nli

References:

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:newsph_nli')
  • Description:
First benchmark dataset for sentence entailment in the low-resource Filipino language. Constructed through exploting the structure of news articles. Contains 600,000 premise-hypothesis pairs, in 70-15-15 split for training, validation, and testing.
  • License: Filipino-Text-Benchmarks is licensed under the GNU General Public License v3.0
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 9000
'train' 420000
'validation' 90000
  • Features:
{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "0",
            "1"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}