Data · dataset · 2022
uva-irlab/canard_quretec
Listed in Hugging Face Datasets
CANARD has been preprocessed by Voskarides et al. to train and evaluate their Query Resolution Term Classification model (QuReTeC).
Description
CANARD is a dataset for question-in-context rewriting that consists of questions each given in a dialog context together with a context-independent rewriting of the question. The context of each question is the dialog utterences that precede the question.
CANARD can be used to evaluate question rewriting models that handle important linguistic phenomena such as coreference and ellipsis resolution.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/uva-irlab/canard_quretec ↗
landing page · from Hugging Face
Documentation and papers
- arXiv:2005.11723 arxiv.org/abs/2005.11723 ↗
publication · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/uva-irlab/canard_quretec ↗
metadata API · from Hugging Face
Topics
- From keywords
- Computer Science & AI
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | uva-irlab/canard_quretec | 12 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 |
| 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 |