{"DynamicSuperb--SpokenQA_SLUE": {"description": "Spoken Language Understanding Evaluation (SLUE) benchmark Phase 2.", "citation": "@inproceedings{shon2023slue_phase2,\n title={SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks},\n author={Shon, Suwon and Arora, Siddhant and Lin, Chyi-Jiunn and Pasad, Ankita and Wu, Felix and Sharma, Roshan and Wu, Wei-Lun and Lee, Hung-Yi and Livescu, Karen and Watanabe, Shinji},\n booktitle={ACL},\n year={2023},\n}", "homepage": "https://asappresearch.github.io/slue-toolkit/", "license": "=======================================================\nThe license of this script\nMIT License\nCopyright (c) 2023 ASAPP Inc.\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n=======================================================\nSLUE-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)\n\nAdditionally, we provide dialog act classification annotation and it is covered with the same license as CC-BY-4.0.\n=======================================================\nSLUE-SQA-5 Dataset\n\nSLUE-SQA-5 Dataset contains question texts and answer strings (question_text, normalized_question_text, and answer_spans column in .tsv files) from these datasets,\n * SQuAD1.1 (for questions whose question_id starts with \u2018squad-\u2019)\n * Natural Questions (for questions whose question_id starts with \u2018nq-\u2019)\n * WebQuestions (for questions whose question_id starts with \u2018wq-\u2019)\n * CuratedTREC (for questions whose question_id starts with \u2018trec-\u2019)\n * TriviaQA (for questions whose question_id starts with \u2018triviaqa-\u2019)\nAdditionally, we provide audio recordings (.wav files in \u201cquestion\u201d directories) of these questions.\n\nFor questions from TriviaQA (questions whose question_id starts with \u2018triviaqa-\u2019), 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).\nFor 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.\n\nSLUE-SQA-5 also contains a subset of Spoken Wikipedia, including the audios placed in \u201cdocument\u201d 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 \u201cword2time\u201d directories).These contents are licensed with the same Creative Commons (CC BY-SA 4.0) license as Spoken Wikipedia.\n=======================================================\nSLUE-vp_nel Dataset\n\nSLUE-vp_nel includes word-level time stamps for dev and test splits of the SLUE-voxpopuli corpus.\nFor the dev split, the dataset also contains named entity annotations and corresponding time-stamps in a tsv format. \n=======================================================\nSLUE-TED Dataset\n\nSLUE-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\u2013NC\u2013ND 4.0 International) license as TED talks. For further information, please refer to the details provided below.\n=======================================================", "features": {"audio": {"sampling_rate": 16000, "mono": true, "decode": true, "id": null, "_type": "Audio"}, "label": {"dtype": "string", "id": null, "_type": "Value"}, "instruction": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": null, "config_name": null, "version": null, "splits": {"test": {"name": "test", "num_bytes": 416693862.875, "num_examples": 6121, "dataset_name": "SpokenQA_SLUE"}}, "download_checksums": null, "download_size": 406952685, "post_processing_size": null, "dataset_size": 416693862.875, "size_in_bytes": 823646547.875}}