--- language: - qu - gn license: unknown task_categories: - automatic-speech-recognition - translation dataset_info: - config_name: guarani features: - name: audio dtype: audio - name: subset dtype: string - name: source_processed dtype: string - name: source_raw dtype: string - name: target_raw dtype: string - name: split dtype: string splits: - name: train num_bytes: 37288028.0 num_examples: 293 - name: dev num_bytes: 14154952.0 num_examples: 93 download_size: 85618314 dataset_size: 51442980.0 - config_name: kotiria features: - name: audio dtype: audio - name: subset dtype: string - name: source_processed dtype: string - name: source_raw dtype: string - name: target_raw dtype: string - name: split dtype: string splits: - name: train num_bytes: 291865656.624 num_examples: 1972 - name: dev num_bytes: 34442493.0 num_examples: 254 download_size: 341252496 dataset_size: 326308149.624 - config_name: quechua features: - name: audio dtype: audio - name: subset dtype: string - name: source_processed dtype: string - name: source_raw dtype: string - name: target_raw dtype: string - name: split dtype: string splits: - name: train num_bytes: 192806183.0 num_examples: 573 - name: dev num_bytes: 239435023.0 num_examples: 250 download_size: 862887688 dataset_size: 432241206.0 configs: - config_name: guarani data_files: - split: train path: guarani/train-* - split: dev path: guarani/dev-* - config_name: kotiria data_files: - split: train path: kotiria/train-* - split: dev path: kotiria/dev-* - config_name: quechua data_files: - split: train path: quechua/train-* - split: dev path: quechua/dev-* --- ## Citation ```bibtex @inproceedings{ebrahimi2022findings, title={Findings of the Second AmericasNLP Competition on Speech-to-Text Translation}, author={Ebrahimi, Abteen and Mager, Manuel and Wiemerslage, Adam and Denisov, Pavel and Oncevay, Arturo and Liu, Danni and Koneru, Sai and Ugan, Enes Yavuz and Li, Zhaolin and Niehues, Jan and others}, booktitle={NeurIPS 2022 Competition Track}, pages={217--232}, year={2022}, organization={PMLR} } ```