References:
original
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:med_hop/original')
- Description:
MedHop is based on research paper abstracts from PubMed, and the queries are about interactions between pairs of drugs. The correct answer has to be inferred by combining information from a chain of reactions of drugs and proteins.
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
1620 |
'validation' |
342 |
- Features:
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"candidates": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"supports": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
masked
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:med_hop/masked')
- Description:
MedHop iss based on research paper abstracts from PubMed, and the queries are about interactions between pairs of drugs. The correct answer has to be inferred by combining information from a chain of reactions of drugs and proteins.
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
1620 |
'validation' |
342 |
- Features:
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"candidates": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"supports": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}