twi_wordsim353

ds = tfds.load('huggingface:twi_wordsim353')

A translation of the word pair similarity dataset wordsim-353 to Twi.

The dataset was presented in the paper
Alabi et al.: Massive vs. Curated Embeddings for Low-Resourced
Languages: the Case of Yorùbá and Twi (LREC 2020).

{
    "twi1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "twi2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "similarity": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    }
}