Data · dataset · 2022
End-to-End NLG Challenge
Listed in Hugging Face Datasets
The E2E dataset is used for training end-to-end, data-driven natural language generation systems in the restaurant domain, which is ten times bigger than existing, frequently used datasets in this area.
Description
The E2E dataset poses new challenges: (1) its human reference texts show more lexical richness and syntactic variation, including discourse phenomena; (2) generating from this set requires content selection. As such, learning from this dataset promises more natural, varied and less template-like system utterances.
E2E is released in the following paper where you can find more details and baseline results: arxiv.org/abs/1706.09254
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/tuetschek/e2e_nlg ↗
landing page · from Hugging Face
Documentation and papers
- arXiv:1901.11528 arxiv.org/abs/1901.11528 ↗
publication · from Hugging Face
- arXiv:1706.09254 arxiv.org/abs/1706.09254 ↗
publication · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/tuetschek/e2e_nlg ↗
metadata API · from Hugging Face
Topics
- From keywords
- Computer Science & AI
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | tuetschek/e2e_nlg | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| license | source · Hugging Face | connector:huggingface@1.0.0 | /tags[license:*] |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |