इस डेटासेट को TFDS में लोड करने के लिए निम्न कमांड का उपयोग करें:

ds = tfds.load('huggingface:snips_built_in_intents')
  • विवरण :
Snips' built in intents dataset was initially used to compare different voice assistants and released as a public dataset hosted at
https://github.com/sonos/nlu-benchmark 2016-12-built-in-intents. The dataset contains 328 utterances over 10 intent classes. The
related paper mentioned on the github page is https://arxiv.org/abs/1805.10190 and a related Medium post is
https://medium.com/snips-ai/benchmarking-natural-language-understanding-systems-d35be6ce568d .
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 0.0.0
  • विभाजन :
विभाजित करना उदाहरण
'train' 328
  • विशेषताएं :
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    "label": {
        "num_classes": 10,
        "names": [
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"