README.md

---
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: ted
  features:
  - name: id
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: speaker
    dtype: string
  - name: transcript
    dtype: string
  - name: title
    dtype: string
  - name: abstract
    dtype: string
  splits:
  - name: train
    num_bytes: 46573026086.984
    num_examples: 3384
  - name: validation
    num_bytes: 5694199931.0
    num_examples: 425
  - name: test
    num_bytes: 5959094411.0
    num_examples: 423
  download_size: 58384489268
  dataset_size: 58226320428.984
- 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: ted
  data_files:
  - split: train
    path: ted/train-*
  - split: validation
    path: ted/validation-*
  - split: test
    path: ted/test-*
- config_name: vp_nel
  data_files:
  - split: validation
    path: vp_nel/validation-*
  - split: test
    path: vp_nel/test-*
---



### Dataset description


- **(Jan. 8 2024) Test set labels are released**
- **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. 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.