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Datasets:
wirthual
/
dip-bundestag-qa

Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
German
Size:
10K - 100K
Tags:
government
bundestag
Libraries:
Datasets
pandas
Dataset card Viewer Files Community
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  ## Dataset Description
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- - **Homepage:**
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- - **Repository:**
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- - **Paper:**
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- - **Leaderboard:**
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- - **Point of Contact:**
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  ### Dataset Summary
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- This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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- ### Supported Tasks and Leaderboards
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- [More Information Needed]
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  ### Languages
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- [More Information Needed]
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  ## Dataset Structure
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- ### Data Instances
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- [More Information Needed]
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- ### Data Fields
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- [More Information Needed]
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- ### Data Splits
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- [More Information Needed]
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- ## Dataset Creation
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- ### Curation Rationale
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- [More Information Needed]
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- ### Source Data
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- #### Initial Data Collection and Normalization
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- [More Information Needed]
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- #### Who are the source language producers?
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- [More Information Needed]
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- ### Annotations
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- #### Annotation process
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- [More Information Needed]
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- #### Who are the annotators?
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- [More Information Needed]
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- ### Personal and Sensitive Information
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- [More Information Needed]
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- ## Considerations for Using the Data
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- ### Social Impact of Dataset
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- [More Information Needed]
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- ### Discussion of Biases
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- [More Information Needed]
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- ### Other Known Limitations
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- ## Additional Information
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- ### Dataset Curators
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- [More Information Needed]
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  ### Licensing Information
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- [More Information Needed]
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- ### Citation Information
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- ### Contributions
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- [More Information Needed]
 
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  ## Dataset Description
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+ - **Homepage:** Quelle: https://dip.bundestag.de/
 
 
 
 
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  ### Dataset Summary
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+ Extracted the questions and answers from the DIP Service. All PDFs which are used are of type "Antwort".
 
 
 
 
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  ### Languages
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+ German
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  ## Dataset Structure
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+ Each row of the dataset consists of the following fields: question, answer and document id.
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+ The document id can be used to retrieve the meta data for the underlying PDF file by sending a request to the follwoing endpoint:
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+ https://search.dip.bundestag.de/api/v1/swagger-ui/#/Drucksachen/getDrucksache
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+ ### Data Fields
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Question
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+ Answer
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+ doc_id
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+ ### Data Splits
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+ No split
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+ ## Dataset Creation
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+ Download PDF, extract text, Classify entries based on font size, [dehyphenize](https://github.com/pd3f/dehyphen) text, build pairs when possible.
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+ ## Dataset Curation
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+ At this point, so curation of the dataset was performed. Good would be to check if a QA pair is good or just a reference to other answers.
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+ #### Who are the source language producers?
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+ https://dip.bundestag.de/
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  ### Licensing Information
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+ Quelle: Deutscher Bundestag/Bundesrat – DIP / "Bundestags-Drucksache"
 
 
 
 
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+ For further detail see:
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+ https://dip.bundestag.de/documents/nutzungsbedingungen_dip.pdf