|
--- |
|
task_categories: |
|
- question-answering |
|
language: |
|
- de |
|
tags: |
|
- government |
|
- bundestag |
|
size_categories: |
|
- 10K<n<100K |
|
--- |
|
# Dataset Card for Dataset Name |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** Quelle: https://dip.bundestag.de/ |
|
|
|
### Dataset Summary |
|
|
|
Extracted the questions and answers from the DIP Service. All PDFs which are used are of type "Antwort". |
|
|
|
In the current version the documents are between the following dates: |
|
|
|
START_DATE = "2015-05-07" |
|
END_DATE = "2023-07-09" |
|
|
|
### Languages |
|
|
|
German |
|
|
|
## Dataset Structure |
|
|
|
Each row of the dataset consists of the following fields: question, answer and document id. |
|
|
|
The document id can be used to retrieve the meta data for the underlying PDF file by sending a request to the follwoing endpoint: |
|
|
|
https://search.dip.bundestag.de/api/v1/swagger-ui/#/Drucksachen/getDrucksache |
|
|
|
|
|
|
|
### Data Fields |
|
|
|
Question |
|
|
|
Answer |
|
|
|
doc_id |
|
|
|
### Data Splits |
|
|
|
No split |
|
|
|
## Dataset Creation |
|
|
|
Download PDF, extract text, Classify entries based on font size, [dehyphenize](https://github.com/pd3f/dehyphen) text, build pairs when possible. |
|
|
|
## Dataset Curation |
|
|
|
At this point, no complex curation of the dataset was performed. |
|
|
|
Answers which simply referred to other answers were filtered out by these regexes: |
|
|
|
``` |
|
'^Auf die Antwort.*verwiesen.$' |
|
'^Es wird auf die Antwort.*verwiesen.$' |
|
``` |
|
|
|
#### Who are the source language producers? |
|
|
|
https://dip.bundestag.de/ |
|
|
|
|
|
### Licensing Information |
|
|
|
Quelle: Deutscher Bundestag/Bundesrat – DIP / "Bundestags-Drucksache" |
|
|
|
For further detail see: |
|
|
|
https://dip.bundestag.de/documents/nutzungsbedingungen_dip.pdf |
|
|