Data · dataset · 2022
anukaver/EstQA
Listed in Hugging Face Datasets
Estonian Question Answering dataset Dataset for extractive question answering in Estonian.
Description
It is based on Wikipedia articles, pre-filtered via PageRank. Annotation was done by one person.
Train set includes 776 context-question-answer triplets. There are several possible answers per question, each in a separate triplet. Number of different questions is 512.
Read the rest (1 more)
Test set includes 603 samples. Each sample contains one or more golden answers. Altogether there are 892 golden ansewrs.… See the full description on the dataset page: huggingface.co/datasets/anukaver/EstQA.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/anukaver/EstQA ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/anukaver/EstQA ↗
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 | anukaver/EstQA | 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 |
| 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 |