Datasets › HWU64

HWU64

Introduced by Xingkun Liu et al. in Benchmarking Natural Language Understanding Services for building Conversational Agents13 Mar 2019 archive 2025-07-28

This project contains natural language data for human-robot interaction in home domain which we collected and annotated for evaluating NLU Services/platforms.

Benchmarks archive 2025-07-28

All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Intent Detection HWU64 RoBERTa-Large + ICDA Accuracy (%) 92.57 Selective In-Context Data Augmentation for Intent... — 1 Compare
Intent Detection HWU64 10-shot RoBERTa-Large + ICDA Accuracy (%) 87.41 Selective In-Context Data Augmentation for Intent... — 1 Compare
Intent Detection HWU64 5-shot RoBERTa-Large + ICDA Accuracy (%) 82.45 Selective In-Context Data Augmentation for Intent... — 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 66. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information 0 3 10 Feb 2023 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC-BY-SA 3.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • HWU64
  • HWU64 10-shot
  • HWU64 5-shot

3 variant names, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections