# 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

task_categories:question-answering size_categories:10K<n<100K language:de government bundestag region:us
{"language": ["de"], "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"], "tags": ["government", "bundestag"]}
TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-German #government #bundestag #region-us 

# Dataset Card for Dataset Name

## Dataset Description

- Homepage:  Quelle: URL

### 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:

URL



### Data Fields

Question

Answer

doc_id

### Data Splits

No split

## Dataset Creation

Download PDF, extract text, Classify entries based on font size, dehyphenize 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:

 

#### Who are the source language producers?

URL


### Licensing Information

Quelle: Deutscher Bundestag/Bundesrat – DIP / "Bundestags-Drucksache"

For further detail see:

URL

# Dataset Card for Dataset Name ## Dataset Description

- Homepage:  Quelle: URL ### 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:

URL ### Data Fields

Question

Answer

doc_id ### Data Splits

No split ## Dataset Creation

Download PDF, extract text, Classify entries based on font size, dehyphenize 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: #### Who are the source language producers?

URL ### Licensing Information

Quelle: Deutscher Bundestag/Bundesrat – DIP / "Bundestags-Drucksache"

For further detail see:

URL
TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-German #government #bundestag #region-us 
 # Dataset Card for Dataset Name ## Dataset Description

- Homepage:  Quelle: URL ### 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:

URL ### Data Fields

Question

Answer

doc_id ### Data Splits

No split ## Dataset Creation

Download PDF, extract text, Classify entries based on font size, dehyphenize 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: #### Who are the source language producers?

URL ### Licensing Information

Quelle: Deutscher Bundestag/Bundesrat – DIP / "Bundestags-Drucksache"

For further detail see:

URL
passage: TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-German #government #bundestag #region-us 
# Dataset Card for Dataset Name## Dataset Description

- Homepage:  Quelle: URL### 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:

URL### Data Fields

Question

Answer

doc_id### Data Splits

No split## Dataset Creation

Download PDF, extract text, Classify entries based on font size, dehyphenize 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:#### Who are the source language producers?

URL### Licensing Information

Quelle: Deutscher Bundestag/Bundesrat – DIP / "Bundestags-Drucksache"

For further detail see:

URL