References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:medal')
- Description:
A large medical text dataset (14Go) curated to 4Go for abbreviation disambiguation, designed for natural language understanding pre-training in the medical domain. For example, DHF can be disambiguated to dihydrofolate, diastolic heart failure, dengue hemorragic fever or dihydroxyfumarate
- License: No known license
- Version: 4.0.0
- Splits:
| Split | Examples |
|---|---|
'full' |
14393619 |
'test' |
1000000 |
'train' |
3000000 |
'validation' |
1000000 |
- Features:
{
"abstract_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"location": {
"feature": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"label": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}