References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:hlgd')
- Description:
HLGD is a binary classification dataset consisting of 20,056 labeled news headlines pairs indicating
whether the two headlines describe the same underlying world event or not.
- License: Apache-2.0 License
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'test' |
2495 |
'train' |
15492 |
'validation' |
2069 |
- Features:
{
"timeline_id": {
"num_classes": 10,
"names": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"headline_a": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"headline_b": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date_a": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date_b": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"url_a": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"url_b": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"same_event",
"different_event"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}