References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:yoruba_wordsim353')
- Description:
A translation of the word pair similarity dataset wordsim-353 to Yorùbá.
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).
- License: No known license
- Version: 0.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
353 |
- Features:
{
"english1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"english2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yoruba1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yoruba2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"similarity": {
"dtype": "float32",
"id": null,
"_type": "Value"
}
}