स्निप्स_बिल्ट_इन_इंटेंट्स

सन्दर्भ:

• कोड
• हगिंगफेस

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 :

• विशेषताएं :

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 10,
        "names": [
            "ComparePlaces",
            "RequestRide",
            "GetWeather",
            "SearchPlace",
            "GetPlaceDetails",
            "ShareCurrentLocation",
            "GetTrafficInformation",
            "BookRestaurant",
            "GetDirections",
            "ShareETA"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}