Data · dataset · 2022
'Adversarial Examples for SQuAD'
Listed in Hugging Face Datasets
Here are two different adversaries, each of which uses a different procedure to pick the sentence it adds to the paragraph: AddSent: Generates up to five candidate adversarial sentences that don't answer the question, but have a lot of words in common with the question.
Description
Picks the one that most confuses the model. AddOneSent: Similar to AddSent, but just picks one of the candidate sentences at random.
This adversary is does not query the model in any way.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/stanfordnlp/squad_adversarial ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/stanfordnlp/squad_adversarial ↗
metadata API · from Hugging Face
Topics
- Stated by source
- question answering
- From keywords
- Computer Science & AI
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | stanfordnlp/squad_adversarial | 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 | |
| concepts[task].hf_task:question-answering | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| 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 |