Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Danish
Size:
< 1K
Tags:
social-media
License:
File size: 1,233 Bytes
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---
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]. |