데이터셋 탐색

The SNIPS Natural Language Understanding benchmark is a dataset of over 16,000 crowdsourced queries distributed among 7 user intents of various complexity: * SearchCreativeWork (e.g. Find me the I, Robot television show), * GetWeather (e.g. Is it windy in Boston, MA right now?), * BookRestaurant (e.g. I want to book a highly rated restaurant in Paris tomorrow night), * PlayMusic (e.g. Play the last track from Beyoncé off Spotify), * AddToPlaylist (e.g. Add Diamonds to my roadtrip playlist), * RateBook (e.g. Give 6 stars to Of Mice and Men), * SearchScreeningEvent (e.g. Check the showtimes for Wonder Woman in Paris). The training set contains of 13,084 utterances, the validation set and the test set contain 700 utterances each, with 100 queries per intent. Source: https://paperswithcode.com/paper/snips-voice-platform-an-embedded-spoken/

Dataset is constructed from single intent dataset SNIPS. This is a publicly available multi intent dataset, which can be downloaded from https://github.com/LooperXX/AGIF/data

The SmartLights benchmark from Snipstests the capability of controlling lights in different rooms. It consists of 1660 requests which are split into five partitions for a 5-fold evaluation. A sample command could be: “please change the [bedroom] lights to [red]” or “i’d like the [living room] lights to be at [twelve] percent”

The SmartSpeaker benchmark tests the performance of reacting to music player commands in English as well as in French. It has the difficulty of containing many artist or music tracks with uncommon names in the commands, like “play music by [a boogie wit da hoodie]” or “I’d like to listen to [Kinokoteikoku]”.