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Dialogue Generation datasets
archive 2025-07-2834 datasets carry the task tag "Dialogue Generation" (the task itself: Dialogue Generation), ordered by the archive's paper count. Page 1 of 1: 34 shown of 34. 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
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Dialogue Generation 34
Dialogue Generation datasets 1–34 of 34
The Reddit dataset is a graph dataset from Reddit posts made in the month of September, 2014.
699 papers · 8 benchmarks
OpenSubtitles is collection of multilingual parallel corpora.
214 papers · 3 benchmarks
A new open-vocabulary language modelling benchmark derived from books.
147 papers · 1 benchmark
DialogSum is a large-scale dialogue summarization dataset, consisting of 13,460 dialogues with corresponding manually labeled summaries and topics.
62 papers · 2 benchmarks
OpenDialKG contains utterance from 15K human-to-human role-playing dialogs is manually annotated with ground-truth reference to corresponding entities and paths from a large-scale KG with 1M+ facts.
55 papers · 0 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
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
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
LCCC (Large-scale Cleaned Chinese Conversation corpus)
Contains a base version (6.8million dialogues) and a large version (12.0 million dialogues).
17 papers · 0 benchmarks
17 papers · 0 benchmarks
FaithDial is a new benchmark for hallucination-free dialogues, by editing hallucinated responses in the Wizard of Wikipedia (WoW) benchmark.
16 papers · 0 benchmarks
CMU DoG (CMU Document Grounded Conversations Dataset)
This is a document grounded dataset for text conversations.
15 papers · 0 benchmarks
CPED (Chinese Personalized and Emotional Dialogue)
We construct a dataset named CPED from 40 Chinese TV shows.
15 papers · 3 benchmarks
PersonalDialog is a large-scale multi-turn dialogue dataset containing various traits from a large number of speakers.
13 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
KaMed is a knowledge-aware medical dialogue dataset, which contains over 60,000 medical dialogue sessions with 5,682 entities (such as Asthma and Atropine).
9 papers · 0 benchmarks
OpenViDial is a large-scale open-domain dialogue dataset with visual contexts.
8 papers · 0 benchmarks
6 papers · 1 benchmark
6 papers · 0 benchmarks
- A large scale Chinese multi-modal dialogue corpus (120.84K dialogues and 198.82 K images).
5 papers · 0 benchmarks
MetaLWOz (Meta-Learning Wizard-of-Oz)
Collected by leveraging background knowledge from a larger, more highly represented dialogue source.
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
3 papers · 0 benchmarks
WDC-Dialogue is a dataset built from the Chinese social media to train EVA.
3 papers · 0 benchmarks
The general multi-turn dialogue evaluation dataset with nine topics.
2 papers · 0 benchmarks
CareCall (CareCall for Seniors)
carecall is a Korean dialogue dataset for role-satisfying dialogue systems.
2 papers · 0 benchmarks
OpenViDial 2.0 is a larger-scale open-domain multi-modal dialogue dataset compared to the previous version OpenViDial 1.0.
2 papers · 1 benchmark
Arabic-ToD (Arabic-ToD: Arabic Task Oriented Dialogue dataset)
The Arabic-TOD dataset is based on the BiToD dataset.
1 paper · 0 benchmarks
Harry Potter Dialogue is the first dialogue dataset that integrates with scene, attributes and relations which are dynamically changed as the storyline goes on.
1 paper · 2 benchmarks
JDDC 2.0 is a large-scale multimodal multi-turn dialogue dataset collected from a mainstream Chinese E-commerce platform JD.com, containing about 246 thousand dialogue sessions, 3 million utterances, and 507 thousand images, along with…
1 paper · 0 benchmarks
To evaluate our proposed strategy of asynchronous communication for LLMs, we run games of Mafia with human players, incorporating an LLM-based agent as an additional player, within an asynchronous chat environment.
1 paper · 0 benchmarks
MultiRefKGC (multi-reference KGC)
MultiRefKGC is a dataset created from conversations from Reddit designed for Knowledge-Grounded Dialogue Generation tasks.
1 paper · 0 benchmarks
> The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents > > Xing Han Lu, Siva Reddy, Harm de Vries > > EACL 2023 | | | | | | | :--: | :--: | :--: | :--: | :--: | | Code | Huggingface | Request on…
1 paper · 1 benchmark
diaforge-utc-r-0725 (DiaFORGE UTC: Unified Tool-Calling Conversations Dataset)
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.