सन्दर्भ:
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:limit')
- विवरण :
Motion recognition is one of the basic cognitive capabilities of many life forms, yet identifying motion of physical entities in natural language have not been explored extensively and empirically. Literal-Motion-in-Text (LiMiT) dataset, is a large human-annotated collection of English text sentences describing physical occurrence of motion, with annotated physical entities in motion.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 1.0.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'test' | 1000 |
'train' | 23559 |
- विशेषताएँ :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"motion": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"motion_entities": [
{
"entity": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"start_index": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
]
}