Datasets › SG-NLG
SG-NLG (Schema-Guided Natural Language Generation)
The SG-NLG dataset is a pre-processed version of the DSTC8 Schema-Guided Dialogue SGD dataset, designed specifically for data-to-text Natural Language Generation (NLG). The original DSTC8 SGD contains ~20,000 dialogues spanning across ~20 domains.
This SG-NLG dataset is designed to make it easier to conduct NLG experiments on the SGD data. It consists of pre-processed SGD data by pairing the schema for each system turn with the corresponding set of natural language strings that realize it. It also “delexicalizes” the prompts (replace related values with fixed names) to convert them into templates that make them more generic for use within a dialog system.
The final SG-NLG dataset is composed of nearly 4K MRs and over 140K templates.
Source: The Schema-Guided Natural Language Generation (SG-NLG) Dataset
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
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Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- SG-NLG
1 variant name, as the archive lists them.
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