References:
answer_selection_analysis
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:selqa/answer_selection_analysis')
- Description:
The SelQA dataset provides crowdsourced annotation for two selection-based question answer tasks,
answer sentence selection and answer triggering.
- License: No known license
- Version: 1.1.0
- Splits:
| Split | Examples |
|---|---|
'test' |
1590 |
'train' |
5529 |
'validation' |
785 |
- Features:
{
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"article": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"is_paraphrase": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"topic": {
"num_classes": 10,
"names": [
"MUSIC",
"TV",
"TRAVEL",
"ART",
"SPORT",
"COUNTRY",
"MOVIES",
"HISTORICAL EVENTS",
"SCIENCE",
"FOOD"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"answers": {
"feature": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"candidates": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"q_types": {
"feature": {
"num_classes": 7,
"names": [
"what",
"why",
"when",
"who",
"where",
"how",
""
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
answer_selection_experiments
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:selqa/answer_selection_experiments')
- Description:
The SelQA dataset provides crowdsourced annotation for two selection-based question answer tasks,
answer sentence selection and answer triggering.
- License: No known license
- Version: 1.1.0
- Splits:
| Split | Examples |
|---|---|
'test' |
19435 |
'train' |
66438 |
'validation' |
9377 |
- Features:
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"candidate": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"0",
"1"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
answer_triggering_analysis
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:selqa/answer_triggering_analysis')
- Description:
The SelQA dataset provides crowdsourced annotation for two selection-based question answer tasks,
answer sentence selection and answer triggering.
- License: No known license
- Version: 1.1.0
- Splits:
| Split | Examples |
|---|---|
'test' |
1590 |
'train' |
5529 |
'validation' |
785 |
- Features:
{
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"article": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"is_paraphrase": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"topic": {
"num_classes": 10,
"names": [
"MUSIC",
"TV",
"TRAVEL",
"ART",
"SPORT",
"COUNTRY",
"MOVIES",
"HISTORICAL EVENTS",
"SCIENCE",
"FOOD"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"q_types": {
"feature": {
"num_classes": 7,
"names": [
"what",
"why",
"when",
"who",
"where",
"how",
""
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"candidate_list": {
"feature": {
"article": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"candidates": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answers": {
"feature": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
answer_triggering_experiments
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:selqa/answer_triggering_experiments')
- Description:
The SelQA dataset provides crowdsourced annotation for two selection-based question answer tasks,
answer sentence selection and answer triggering.
- License: No known license
- Version: 1.1.0
- Splits:
| Split | Examples |
|---|---|
'test' |
59845 |
'train' |
205075 |
'validation' |
28798 |
- Features:
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"candidate": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"0",
"1"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}