Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Danish
Size:
< 1K
Tags:
social-media
License:
dataset_info: | |
features: | |
- name: Question | |
dtype: string | |
- name: Answer 1 | |
dtype: string | |
- name: Answer 2 | |
dtype: string | |
- name: Answer 3 | |
dtype: string | |
- name: Answer 4 | |
dtype: string | |
- name: Answer 5 | |
dtype: string | |
- name: Answer 6 | |
dtype: string | |
- name: 'Unnamed: 8' | |
dtype: string | |
- name: 'Unnamed: 9' | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 51635 | |
num_examples: 78 | |
download_size: 50291 | |
dataset_size: 51635 | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
task_categories: | |
- question-answering | |
language: | |
- da | |
tags: | |
- social-media | |
pretty_name: Twitterhjerne | |
license: cc-by-4.0 | |
# Dataset Card for "da-hashtag-twitterhjerne" | |
Danish questions asked on Twitter using the Hashtag "#Twitterhjerne" ('Twitter brain') and their answers. | |
For each question tweet 2-6 answer tweets are included. | |
Further details can be found in Section 4.2.3 in the [thesis](https://sorenmulli.github.io/thesis/thesis.pdf). | |
- Produced by: Søren Vejlgaard Holm under supervision of Lars Kai Hansen and Martin Carsten Nielsen. | |
- Usable for: Question Answering Evaluation. | |
- Contact: Søren Vejlgaard Holm at [email protected] or [email protected]. |