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:
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num_examples: 11344
- name: validation
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num_examples: 1690
- name: test
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num_examples: 6121
download_size: 1287263357
dataset_size: 1332911001.017
- config_name: vp_nel
features:
- name: id
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: speaker_id
dtype: string
- name: text
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- name: word_timestamps
sequence:
- name: word
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- name: end_sec
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- 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: 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/
- Paper: 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. For further information, please refer to the details provided below.
============================= TED.com
We encourage you to share TED Talks, under our Creative Commons license, or ( CC BY–NC–ND 4.0 International, which means it may be shared under the conditions below: CC: means the type of license rights associated with TED Talks, or Creative Commons BY: means the requirement to include an attribution to TED as the owner of the TED Talk and include a link to the talk, but do not include any other TED branding on your website or platform, or language that may imply an endorsement. NC: means you cannot use TED Talks in any commercial context or to gain any type of revenue, payment or fee from the license sublicense, access or usage of TED Talks in an app of any kind for any advertising, or in exchange for payment of any kind, including in any ad supported content or format. ND: means that no derivative works are permitted so you cannot edit, remix, create, modify or alter the form of the TED Talks in any way. This includes using the TED Talks as the basis for another work, including dubbing, voice-overs, or other translations not authorized by TED. You may not add any more restrictions that we have placed on the TED site content, such as additional legal or technological restrictions on accessing the content.