Datasets:
dataset_info:
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
splits:
- name: train
num_bytes: 74359398844.398
num_examples: 292462
download_size: 107587361654
dataset_size: 74359398844.398
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- automatic-speech-recognition
language:
- de
Dataset Card for "bundestagv2"
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
This is the second version of our bundestag Dataset and the first one that reached a sufficient quality. It has been obtained using the .srt files found on the website of "Parlamentsfernsehen Bundestag" and has been further optimized using forced alignment.
Dataset Summary
Almost 300k Rows of data, filtered to up to 30 seconds of audio.
Supported Tasks and Leaderboards
This dataset is mostly intended for ASR usage.
Dataset Structure
Data Instances
Every instance ranges from 0 to 30 seconds of audio.
Data Fields
We provide the waveforms and the corresponding transcriptions.
Data Splits
This is currently one large split, so consider applying train_test_split first before using it for training.
Dataset Creation
Source Data
Initial Data Collection and Normalization
Aligned using oliverguhr/wav2vec2-large-xlsr-53-german-cv9
Considerations for Using the Data
Discussion of Biases
There are quite a few dialects present throughout the dataset.
Other Known Limitations
A lot of the sessions were held online, as such the audio quality varies drastically and is sometimes too bad to ensure good transcriptions. The .srt files used are not flawless, as such there might be a few errors in the dataset. Additionally, the alignment will be off from time to time, resulting in missing speech with the full transcript which could increase hallucinations.
Additional Information
Licensing Information
This dataset is currently gated and will remain this as long as we are uncertain about the legality of republishing audio of the German "Bundestag".