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--- |
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dataset_info: |
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features: |
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- name: audio |
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dtype: audio |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 66172545707.104 |
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num_examples: 226252 |
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- name: validation |
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num_bytes: 3377143244.636 |
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num_examples: 11908 |
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- name: test |
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num_bytes: 3428390565.124 |
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num_examples: 11908 |
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download_size: 73808778897 |
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dataset_size: 72978079516.86398 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
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task_categories: |
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- automatic-speech-recognition |
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- text-to-speech |
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language: |
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- de |
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size_categories: |
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- 100K<n<1M |
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--- |
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# Dataset Card for Bundestag ASR Dataset |
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This dataset consists of ~610 hours of audio-transcripts from political speeches of the German Bundestag, intended for use in Automatic Speech Recognition (ASR) systems. |
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## Dataset Details |
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### Dataset Description |
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This dataset contains extensive audio recordings and corresponding transcripts from political speeches delivered in the German Bundestag. It provides a rich resource for training and evaluating ASR systems, particularly in the context of formal and political speech in the German language. |
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- **Language(s) (NLP):** German |
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### Dataset Sources |
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- **Repository:** https://opendata.iisys.de/dataset/asr-bundestag/ |
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### Direct Use |
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The dataset is suitable for developing, training, and evaluating ASR models, particularly those focusing on German language and political discourse. It can also be used for linguistic research and natural language processing tasks related to speech recognition. |
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### Source Data |
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The source data consists of recorded speeches from sessions of the German Bundestag. |
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https://www.bundestag.de/mediathek |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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The dataset may reflect biases present in the speeches of politicians, such as political leanings, socio-economic perspectives, and other biases inherent in political discourse. It also focuses on formal speech, which may not generalize to informal speech contexts. |
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## License & Terms of Use |
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https://www.bundestag.de/resource/blob/296016/301050a2c21ce66e24014805c235f9c7/nutzungsbedingungen_de-data.pdf |
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