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Data · dataset · 2022

SILICONE Benchmark

Listed in Hugging Face Datasets

The Sequence labellIng evaLuatIon benChmark fOr spoken laNguagE (SILICONE) benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems specifically designed for spoken language.

Description

All datasets are in the English language and cover a variety of domains including daily life, scripted scenarios, joint task completion, phone call conversations, and televsion dialogue.

Some datasets additionally include emotion and/or sentimant labels.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Inferred from text
Artificial intelligence 69%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetseusip/silicone14 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[task].hf_task:fill-masksource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:text-generationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
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licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
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