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Slot Filling datasets

archive 2025-07-28

27 datasets carry the task tag "Slot Filling" (the task itself: Slot Filling), ordered by the archive's paper count. Page 1 of 1: 27 shown of 27. 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

Slot Filling datasets 1–27 of 27

MultiWOZ (Multi-domain Wizard-of-Oz)
The Multi-domain Wizard-of-Oz (MultiWOZ) dataset is a large-scale human-human conversational corpus spanning over seven domains, containing 8438 multi-turn dialogues, with each dialogue averaging 14 turns.
328 papers · 8 benchmarks
SNIPS (SNIPS Natural Language Understanding benchmark)
The SNIPS Natural Language Understanding benchmark is a dataset of over 16,000 crowdsourced queries distributed among 7 user intents of various complexity: SearchCreativeWork (e.g.
256 papers · 6 benchmarks
SGD (Schema-Guided Dialogue)
The Schema-Guided Dialogue (SGD) dataset consists of over 20k annotated multi-domain, task-oriented conversations between a human and a virtual assistant.
186 papers · 2 benchmarks
KILT (KILT Benchmark)
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
SLURP (Spoken Language Understanding Resource Package)
A new challenging dataset in English spanning 18 domains, which is substantially bigger and linguistically more diverse than existing datasets.
106 papers · 2 benchmarks
MASSIVE is a parallel dataset of > 1M utterances across 51 languages with annotations for the Natural Language Understanding tasks of intent prediction and slot annotation.
72 papers · 3 benchmarks
Polyvore (Polyvore Outfits)
This dataset contains 21,889 outfits from polyvore.com, in which 17,316 are for training, 1,497 for validation and 3,076 for testing.
62 papers · 3 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
Dataset is constructed from single intent dataset ATIS.
28 papers · 2 benchmarks
Dataset is constructed from single intent dataset SNIPS.
26 papers · 2 benchmarks
xSID (Cross-lingual Slot and Intent Detection)
xSID, a new evaluation benchmark for cross-lingual (X) Slot and Intent Detection in 13 languages from 6 language families, including a very low-resource dialect, covering Arabic (ar), Chinese (zh), Danish (da), Dutch (nl), English (en),…
18 papers · 0 benchmarks
CAIS (Chinese Artificial Intelligence Speakers)
We collect utterances from the Chinese Artificial Intelligence Speakers (CAIS), and annotate them with slot tags and intent labels.
6 papers · 2 benchmarks
The MEDIA French corpus is dedicated to semantic extraction from speech in a context of human/machine dialogues.
6 papers · 0 benchmarks
RiSAWOZ is a large-scale multi-domain Chinese Wizard-of-Oz dataset with Rich Semantic Annotations.
5 papers · 0 benchmarks
ATIS (vi) (Vietnamese Intent Detection and Slot Filling)
This is a dataset for intent detection and slot filling for the Vietnamese language.
4 papers · 2 benchmarks
MultiSubs (MultiSubs: A Large-scale Multimodal and Multilingual Dataset)
MultiSubs is a dataset of multilingual subtitles gathered from the OPUS OpenSubtitles dataset, which in turn was sourced from opensubtitles.org.
4 papers · 5 benchmarks
LatamXIX (19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction)
A novel dataset of 19th-century Latin American press texts, which addresses the lack of specialized corpora for historical and linguistic analysis in this region.
2 papers · 0 benchmarks
ProSLU (Profile-based Spoken Language Understanding)
In the paper, to bridge the research gap, we propose a new and important task, Profile-based Spoken Language Understanding (ProSLU), which requires a model not only depends on the text but also on the given supporting profile information.
2 papers · 2 benchmarks
Spades (Semantic PArsing of DEclarative Sentences)
Datasets Spades contains 93,319 questions derived from clueweb09 sentences.
2 papers · 0 benchmarks
The pioNER corpus provides gold-standard and automatically generated named-entity datasets for the Armenian language.
2 papers · 0 benchmarks
The CareerCoach 2022 gold standard is available for download in the NIF and JSON format, and draws upon documents from a corpus of over 99,000 education courses which have been retrieved from 488 different education providers.
1 paper · 0 benchmarks
NoMusic - The Norwegian Multi-Dialectal Slot and Intent Detection Corpus https://aclanthology.org/2024.vardial-1.9/
1 paper · 0 benchmarks
TurkQA consists of a selection of sentences from English Wikipedia articles, with questions and answers crowdsourced from workers on Amazon Mechanical Turk.
1 paper · 0 benchmarks
Voice Navigation is a large-scale dataset of Chinese speech for slot filling, containing more than 830,000 samples.
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
IndirectRequests is an LLM-generated dataset of user utterances in a task-oriented dialogue setting where the user does not directly specify their preferred slot value.
0 papers · 0 benchmarks
Based on RADDLE and SNIPS , we construct Noise-SF, which includes two different perturbation settings.
0 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.