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Dialogue Evaluation datasets

archive 2025-07-28

8 datasets carry the task tag "Dialogue Evaluation" (the task itself: Dialogue Evaluation), 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 Evaluation datasets 1–8 of 8

The Reddit dataset is a graph dataset from Reddit posts made in the month of September, 2014.
699 papers · 8 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
This dataset was collected with the goal of assessing dialog evaluation metrics.
7 papers · 1 benchmark
This dataset was collected with the goal of assessing dialog evaluation metrics.
7 papers · 1 benchmark
The general multi-turn dialogue evaluation dataset with nine topics.
2 papers · 0 benchmarks
Reddit Engagement Dataset (RED), a distant-supervision set, with 80k single-turn conversations.
1 paper · 0 benchmarks
SaGA (The Bielefeld Speech and Gesture Alignment Corpus (SaGA))
The primary data of the SaGA corpus are made up of 25 dialogs of interlocutors (50), who engage in a spatial communication task combining direction-giving and sight description.
1 paper · 0 benchmarks
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.