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SLU-DATA

Spoken language understanding (SLU) task includes intent identification and slot filling. There are datasets for SLU in three types:

  1. single-turn query
  2. only tagging, without intent
  3. multi-turn dialogue

dataset:

Datasets Domain Vocab #Train #Test #Slot #Intent language paper detail
single-turn antis 1 722 4478 893 120 21 English
snips >1 11241 13084 700 72 7 English
only-tagging MIT rest. 1 4166 7660 1521 17 - English
MIT eng. 1 7481 9775 2443 25 - English
MIT trivia10k13. 1 12145 7816 1953 25 - English
multi-turn dialogue DSTC 2 1 - 11677 9890 w/o BIO-format - English
incarslu 1 1145 10571 4882 11 (w/o BIO-format) 17 English
nlpcc 3 5443 4705/21352 1177/5350 11 11 Chinese

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