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Dialogue Act Classification datasets

archive 2025-07-28

8 datasets carry the task tag "Dialogue Act Classification" (the task itself: Dialogue Act Classification), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Dialogue Act Classification datasets 1–8 of 8

Doc2Dial (Doc2Dial: Document-grounded Dialogue)
For goal-oriented document-grounded dialogs, it often involves complex contexts for identifying the most relevant information, which requires better understanding of the inter-relations between conversations and documents.
36 papers · 0 benchmarks
The Switchboard-1 Telephone Speech Corpus (LDC97S62) consists of approximately 260 hours of speech and was originally collected by Texas Instruments in 1990-1, under DARPA sponsorship.
17 papers · 1 benchmark
CPED (Chinese Personalized and Emotional Dialogue)
We construct a dataset named CPED from 40 Chinese TV shows.
15 papers · 3 benchmarks
MRDA (ICSI Meeting Recorder Dialog Act Corpus)
The MRDA corpus consists of about 75 hours of speech from 75 naturally-occurring meetings among 53 speakers.
8 papers · 1 benchmark
EMOTyDA (Emotion aware Dialogue Act)
EMOTyDA is a multimodal Emotion aware Dialogue Act dataset collected from open-sourced dialogue datasets.
3 papers · 1 benchmark
Emotional Dialogue Acts data contains dialogue act labels for existing emotion multi-modal conversational datasets.
3 papers · 0 benchmarks
SDN (Situated Dialogue Navigation)
Situated Dialogue Navigation (SDN) is a navigation benchmark of 183 trials with a total of 8415 utterances, around 18.7 hours of control streams, and 2.9 hours of trimmed audio.
3 papers · 0 benchmarks
Switchboard Dialog Act Corpus
1 paper · 1 benchmark

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.