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--- |
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language: |
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- en |
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license: cc-by-4.0 |
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dataset_info: |
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features: |
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- name: task |
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dtype: string |
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- name: subtask |
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dtype: string |
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- name: similarity |
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dtype: float64 |
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- name: speaker_id |
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dtype: int64 |
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- name: pair_id |
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dtype: int64 |
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- name: audio_a |
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dtype: |
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audio: |
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sampling_rate: 16000 |
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- name: audio_b |
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dtype: |
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audio: |
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sampling_rate: 16000 |
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- name: sentence_a |
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dtype: string |
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- name: sentence_b |
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dtype: string |
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splits: |
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- name: test |
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num_bytes: 1713645707.328 |
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num_examples: 2552 |
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download_size: 1575109909 |
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dataset_size: 1713645707.328 |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: data/test-* |
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--- |
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# SpokenSTS Dataset |
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Spoken versions of the Semantic Textual Similarity dataset for testing semantic sentence level embeddings. |
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Contains thousands of sentence pairs annotated by humans for semantic similarity. |
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The spoken sentences can be used in sentence embedding models to test whether your model learns to capture sentence semantics. |
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## Disclaimer |
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**This distribution is not official.** |
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This subset only contains sentences from 4 human voices. Synthesized voices are excluded. |
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## Dataset structure |
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- There are five tasks: STS12 ~ STS16. |
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- Each tasks has couple of subtasks. Each subtask as few dozens of unique sentence pairs (numbers in parenthesis). |
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- STS12: MSRpar (38), MSRvid (38), SMTeuroparl (23), OnWN (43), SMTnews (20) |
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- STS13: FNWN (10), headlines (38), OnWN (30) |
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- STS14: deft-forum (23), deft-news (15), headlines (38), images (38), OnWN (32), tweet-news (38) |
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- STS15: answers-forums (19), answers-students (38), belief (19), headlines (38), images (38) |
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- STS16: answer-answer (13), headlines (13), plagiarism (12), postediting (13), question-question (11) |
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- Total 638 unique sentence pairs exist. Note that pair_id is only unique within the subtask. |
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- For each sentence pair, there are utterances from 4 speakers (speaker_id 1 ~ 4), total 638x4=2552 rows in the dataset. |
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- Sentence pair similarity ranges from minimum 0.0 to maximum 5.0. |
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- Refer Table 1 of SpokenSTS paper for more details on tasks & subtasks. |
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- Audio is resampled into 16kHz. |
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## References |
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- Original dataset and detailed metadata can be found at https://doi.org/10.17026/dans-z48-3ev6 |
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- Codebase of SpokenSTS can be found at https://github.com/DannyMerkx/speech2image/tree/Interspeech21 |
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- If you use the dataset, please cite: |
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- (Original STS database) Eneko Agirre, Carmen Banea, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Rada Mihalcea, |
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German Rigau, and Janyce Wiebe. Semeval-2016 task 1: Semantic textual similarity, monolingual |
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and cross-lingual evaluation. In SemEval, pages 497–511. ACL, 2016. |
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- (SpokenSTS) Danny Merkx, Stefan L. Frank and Mirjam Ernestus (2021). Semantic sentence similarity: size does |
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not always matter. In Interspeech 2021 - 22nd Annual Conference of the International Speech |
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Communication Association. pp. pp. 4393-4397 |
