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Open-Domain Dialog datasets
archive 2025-07-28
13 datasets carry the task tag "Open-Domain Dialog" (the task itself: Open-Domain Dialog), ordered by the archive's paper count. Page 1 of 1: 13 shown of 13. 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
Open-Domain Dialog datasets 1–13 of 13
The Reddit dataset is a graph dataset from Reddit posts made in the month of September, 2014.
699 papers · 8 benchmarks
KILT (Knowledge Intensive Language Tasks) is a benchmark consisting of 11 datasets representing 5 types of tasks: Fact-checking (FEVER), Entity linking (AIDA CoNLL-YAGO, WNED-WIKI, WNED-CWEB), Slot filling (T-Rex, Zero Shot RE), Open…
117 papers · 11 benchmarks
MultiDoc2Dial (MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents)
MultiDoc2Dial is a new task and dataset on modeling goal-oriented dialogues grounded in multiple documents.
26 papers · 0 benchmarks
MMDialog is a large-scale multi-turn dialogue dataset containing multi-modal open-domain conversations derived from real human-human chat content in social media.
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
DuLeMon (Baidu Long-term Memory Conversation)
DuLeMon is a large-scale Chinese Long-term Memory Conversation dataset, which simulates long-term memory conversations and focuses on the ability to actively construct and utilize the user's and the bot's persona in a long-term interaction.
14 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
Reddit Conversation Corpus (RCC) consists of conversations, scraped from Reddit, for a 20 month period from November 2016 until August 2018.
6 papers · 0 benchmarks
ClovaCall is a new large-scale Korean call-based speech corpus under a goal-oriented dialog scenario from more than 11,000 people.
5 papers · 0 benchmarks
- A large scale Chinese multi-modal dialogue corpus (120.84K dialogues and 198.82 K images).
5 papers · 0 benchmarks
Diamante is a novel and efficient framework consisting of a data collection strategy and a learning method to boost the performance of pre-trained dialogue models.
4 papers · 0 benchmarks
The high-quality multi-turn dialogue dataset, which has a total of 3,134 multi-turn consultation dialogues.
3 papers · 0 benchmarks
The general multi-turn dialogue evaluation dataset with nine topics.
2 papers · 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.