--- dataset_info: - config_name: hvb features: - name: issue_id dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: speaker_id dtype: string - name: text dtype: string - name: utt_index dtype: int32 - name: channel dtype: int32 - name: role dtype: string - name: start_ms dtype: int32 - name: duration_ms dtype: int32 - name: intent dtype: string - name: dialog_acts sequence: string splits: - name: train num_bytes: 803631533.648 num_examples: 11344 - name: validation num_bytes: 115999281.63 num_examples: 1690 - name: test num_bytes: 413280185.739 num_examples: 6121 download_size: 1287263357 dataset_size: 1332911001.017 - config_name: sqa5 features: - name: question_id dtype: string - name: question_audio dtype: audio: sampling_rate: 16000 - name: question_speaker_id dtype: string - name: raw_question_text dtype: string - name: normalized_question_text dtype: string - name: document_id dtype: string - name: document_audio dtype: audio: sampling_rate: 16000 - name: document_speaker_id dtype: string - name: raw_document_text dtype: string - name: normalized_document_text dtype: string - name: word2time sequence: - name: word dtype: string - name: normalized_word dtype: string - name: start_second dtype: float64 - name: end_second dtype: float64 - name: answer_spans sequence: - name: answer dtype: string - name: start_second dtype: float64 - name: end_second dtype: float64 splits: - name: train num_bytes: 134775904845.04 num_examples: 46186 - name: validation num_bytes: 5686714785.843 num_examples: 1939 - name: test num_bytes: 6967375359.628 num_examples: 2382 - name: verified_test num_bytes: 1182628989.0 num_examples: 408 download_size: 118074473123 dataset_size: 148612623979.511 - config_name: vp_nel features: - name: id dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: speaker_id dtype: string - name: text dtype: string - name: word_timestamps sequence: - name: word dtype: string - name: start_sec dtype: float64 - name: end_sec dtype: float64 - name: ne_timestamps sequence: - name: ne_label dtype: string - name: start_char_idx dtype: int32 - name: char_offset dtype: int32 - name: start_sec dtype: float64 - name: end_sec dtype: float64 splits: - name: validation num_bytes: 83371882.75 num_examples: 1750 - name: test num_bytes: 85222143.142 num_examples: 1838 download_size: 165119242 dataset_size: 168594025.89200002 configs: - config_name: hvb data_files: - split: train path: hvb/train-* - split: validation path: hvb/validation-* - split: test path: hvb/test-* - config_name: sqa5 data_files: - split: train path: sqa5/train-* - split: validation path: sqa5/validation-* - split: test path: sqa5/test-* - split: verified_test path: sqa5/verified_test-* - config_name: vp_nel data_files: - split: validation path: vp_nel/validation-* - split: test path: vp_nel/test-* --- ### Dataset description **(Jul. 11 2023) Detail information will released soon.** - **Toolkit Repository:** [https://github.com/asappresearch/slue-toolkit/](https://github.com/asappresearch/slue-toolkit/) - **Paper:** [https://arxiv.org/abs/2212.10525](https://arxiv.org/abs/2212.10525) ### Licensing Information #### SLUE-HVB SLUE-HVB dataset contains a subset of the Gridspace-Stanford Harper Valley speech dataset and the copyright of this subset remains the same with the original license, CC-BY-4.0. See also original license notice (https://github.com/cricketclub/gridspace-stanford-harper-valley/blob/master/LICENSE) Additionally, we provide dialog act classification annotation and it is covered with the same license as CC-BY-4.0. #### SLUE-SQA-5 SLUE-SQA-5 Dataset contains question texts and answer strings (question_text, normalized_question_text, and answer_spans column in .tsv files) from these datasets, * SQuAD1.1 (for questions whose question_id starts with ‘squad-’) * Natural Questions (for questions whose question_id starts with ‘nq-’) * WebQuestions (for questions whose question_id starts with ‘wq-’) * CuratedTREC (for questions whose question_id starts with ‘trec-’) * TriviaQA (for questions whose question_id starts with ‘triviaqa-’) Additionally, we provide audio recordings (.wav files in “question” directories) of these questions. For questions from TriviaQA (questions whose question_id starts with ‘triviaqa-’), their question texts, answer strings, and audio recordings are licensed with the same Apache License 2.0 as TriviaQA (for more detail, please refer to https://github.com/mandarjoshi90/triviaqa/blob/master/LICENSE). For questions from the other 4 datasets, their question texts, answer strings, and audio recordings are licensed with Creative Commons Attribution-ShareAlike 4.0 International license. SLUE-SQA-5 also contains a subset of Spoken Wikipedia, including the audios placed in “document” directories and their transcripts (document_text and normalized_document_text column in .tsv files). Additionally, we provide the text-to-speech alignments (.txt files in “word2time” directories).These contents are licensed with the same Creative Commons (CC BY-SA 4.0) license as Spoken Wikipedia. #### SLUE-TED SLUE-TED Dataset contains TED Talk audios along with the associated abstracts and title, which were concatenated to create reference summaries. This corpus is licensed with the same Creative Commons (CC BY–NC–ND 4.0 International) license as TED talks. 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