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Conversational Response Selection datasets
archive 2025-07-28
12 datasets carry the task tag "Conversational Response Selection" (the task itself: Conversational Response Selection), ordered by the archive's paper count. Page 1 of 1: 12 shown of 12. 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
Conversational Response Selection datasets 1–12 of 12
The Reddit dataset is a graph dataset from Reddit posts made in the month of September, 2014.
699 papers · 8 benchmarks
Douban (Douban Conversation Corpus)
We release Douban Conversation Corpus, comprising a training data set, a development set and a test set for retrieval based chatbot.
81 papers · 4 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
We release E-commerce Dialogue Corpus, comprising a training data set, a development set and a test set for retrieval based chatbot.
42 papers · 1 benchmark
The Ubuntu IRC dataset is a valuable resource for research in natural language understanding and dialogue systems.
24 papers · 2 benchmarks
We release Douban Conversation Corpus, comprising a training data set, a development set and a test set for retrieval based chatbot.
22 papers · 0 benchmarks
The DSTC7 Task 1 dataset is a dataset and task for goal-oriented dialogue.
12 papers · 1 benchmark
RRS (Restoration-200k for Response Selection)
| | Train | Validation | Test | Ranking Test | | --------- | ----- | ---------- | ------- | ------------ | | size | 0.4M | 50K | 5K | 800 | | pos:neg | 1:1 | 1:9 | 1.2:8.8 | - | | avg turns | 5.0 | 5.0 | 5.0 | 5.0 | Ranking test set…
8 papers · 1 benchmark
Reddit Corpus is part of a repository of conversational datasets consisting of hundreds of millions of examples, and a standardised evaluation procedure for conversational response selection models using '1-of-100 accuracy'.
7 papers · 0 benchmarks
RRS Ranking Test (Restoration-200k for Response Selection with Ranking Test Set)
| | Train | Validation | Test | Ranking Test | | --------- | ----- | ---------- | ------- | ------------ | | size | 0.4M | 50K | 5K | 800 | | pos:neg | 1:1 | 1:9 | 1.2:8.8 | - | | avg turns | 5.0 | 5.0 | 5.0 | 5.0 | Ranking test set…
5 papers · 1 benchmark
Advising Corpus is a dataset based on an entirely new collection of dialogues in which university students are being advised which classes to take.
4 papers · 1 benchmark
This dataset is for evaluating the task of Black-box Multi-agent Integration which focuses on combining the capabilities of multiple black-box conversational agents at scale.
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.