Datasets › Spoken-SQuAD
Spoken-SQuAD
In SpokenSQuAD, the document is in spoken form, the input question is in the form of text and the answer to each question is always a span in the document. The following procedures were used to generate spoken documents from the original SQuAD dataset. First, the Google text-to-speech system was used to generate the spoken version of the articles in SQuAD. Then CMU Sphinx was sued to generate the corresponding ASR transcriptions. The SQuAD training set was used to generate the training set of Spoken SQuAD, and SQuAD development set was used to generate the testing set for Spoken SQuAD. If the answer of a question did not exist in the ASR transcriptions of the associated article, the question-answer pair was removed from the dataset because these examples are too difficult for listening comprehension machine at this stage.
Source: https://github.com/chiahsuan156/Spoken-SQuAD Image Source: https://github.com/chiahsuan156/Spoken-SQuAD
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Spoken Language Understanding | Spoken-SQuAD | ALBERT F1 score 77.1 | End-to-end Spoken Conversational Question Answering:... | — | 4 | Compare |
Papers archive 2025-07-28
4 shown of 4 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 24. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| End-to-end Spoken Conversational Question Answering: Task, Dataset and Model | 0 | 1 | 29 Apr 2022 | not harvested |
| SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering | 0 | 1 | 25 Oct 2019 | not harvested |
| Mitigating the Impact of Speech Recognition Errors on Spoken Question Answering by Adversarial Domain Adaptation | 2 | 1 | 16 Apr 2019 | not harvested |
| Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension | 3 | 1 | 1 Apr 2018 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Spoken-SQuAD
1 variant name, as the archive lists them.
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