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Dialog datasets
archive 2025-07-28
25 datasets carry the modality tag "Dialog", ordered by the archive's paper count. Page 1 of 1: 25 shown of 25. 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 39 modality tags shown of 39, by dataset count; the full filter by modality, task and language is on /datasets
Dialog datasets 1–25 of 25
DailyDialog is a high-quality multi-turn open-domain English dialog dataset.
399 papers · 2 benchmarks
Visual Dialog (VisDial) dataset contains human annotated questions based on images of MS COCO dataset.
159 papers · 6 benchmarks
ConvAI2 (Conversational Intelligence Challenge 2)
The ConvAI2 NeurIPS competition aimed at finding approaches to creating high-quality dialogue agents capable of meaningful open domain conversation.
100 papers · 1 benchmark
The EmpatheticDialogues dataset is a large-scale multi-turn empathetic dialogue dataset collected on the Amazon Mechanical Turk, containing 24,850 one-to-one open-domain conversations.
64 papers · 2 benchmarks
UDC (Ubuntu Dialogue Corpus)
Ubuntu Dialogue Corpus (UDC) is a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words.
46 papers · 8 benchmarks
TEACh (Task-driven Embodied Agents that Chat)
Robots operating in human spaces must be able to engage in natural language interaction with people, both understanding and executing instructions, and using conversation to resolve ambiguity and recover from mistakes.
36 papers · 0 benchmarks
The Dialog State Tracking Challenges 2 & 3 (DSTC2&3) were research challenge focused on improving the state of the art in tracking the state of spoken dialog systems.
33 papers · 5 benchmarks
The Easy Communications (EasyCom) dataset is a world-first dataset designed to help mitigate the cocktail party effect from an augmented-reality (AR) -motivated multi-sensor egocentric world view.
22 papers · 4 benchmarks
Taskmaster-1 is a dialog dataset consisting of 13,215 task-based dialogs in English, including 5,507 spoken and 7,708 written dialogs created with two distinct procedures.
19 papers · 0 benchmarks
SODA is a high-quality social dialogue dataset.
17 papers · 0 benchmarks
Most existing dialogue systems fail to respond properly to potentially unsafe user utterances by either ignoring or passively agreeing with them.
13 papers · 1 benchmark
CLEVR-Dialog is a large diagnostic dataset for studying multi-round reasoning in visual dialog.
10 papers · 0 benchmarks
Coached Conversational Preference Elicitation is a dataset consisting of 502 English dialogs with 12,000 annotated utterances between a user and an assistant discussing movie preferences in natural language.
5 papers · 0 benchmarks
The Taskmaster-2 dataset consists of 17,289 dialogs in seven domains: restaurants (3276), food ordering (1050), movies (3047), hotels (2355), flights (2481), music (1602), and sports (3478).
5 papers · 0 benchmarks
The Situated Corpus Of Understanding Transactions (SCOUT) is a multi-modal collection of human-robot dialogue in the task domain of collaborative exploration.
4 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
DialogCC is a large-scale multi-modal dialogue dataset, which covers diverse real-world topics and various images per dialogue.
1 paper · 0 benchmarks
The EVI dataset is a challenging, multilingual spoken-dialogue dataset with 5,506 dialogues in English, Polish, and French.
1 paper · 3 benchmarks
Fallout New Vegas Dialog is a multilingual sentiment annotated dialog dataset from Fallout New Vegas.
1 paper · 0 benchmarks
This is a high-quality dataset consisting of 14.8M utterances in English, extracted from processed dialogues from publicly available online books.
1 paper · 0 benchmarks
Simulates unanticipated user needs in the deployment stage.
1 paper · 0 benchmarks
PGDataset (Profile Generation Dataset) is a dataset created for the PGTask (Profile Generation Task), where the goal is to extract/generate a profile sentence given a dialogue utterance.
1 paper · 1 benchmark
The Mafia Dataset was created to model the behavior of deceptive actors in the context of the Mafia game, as described in the paper “Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia”.
1 paper · 0 benchmarks
Werewolf Among Us is a dataset multimodal dataset for modeling persuasion behaviors.
1 paper · 0 benchmarks
Dataset for our paper Disambiguation-Centric Finetuning Makes Enterprise Tool-Calling LLMs More Realistic and Less Risky which includes 5000 enterprise tools and the corresponding dialogues generated using DiaFORGE UTC data engine.
1 paper · 0 benchmarks
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.