सन्दर्भ:
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:wiqa')
- विवरण :
The WIQA dataset V1 has 39705 questions containing a perturbation and a possible effect in the context of a paragraph.
The dataset is split into 29808 train questions, 6894 dev questions and 3003 test questions.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 3003 |
'train' | 29808 |
'validation' | 6894 |
- विशेषताएँ :
{
"question_stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_para_step": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer_label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_label_as_choice": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"metadata_question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"metadata_graph_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"metadata_para_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"metadata_question_type": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"metadata_path_len": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}