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--- |
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dataset_info: |
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features: |
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- name: audiocap_id |
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dtype: int64 |
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- name: youtube_id |
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dtype: string |
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- name: start_time |
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dtype: int64 |
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- name: caption |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 4162928 |
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num_examples: 49838 |
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- name: validation |
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num_bytes: 198563 |
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num_examples: 2475 |
|
- name: test |
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num_bytes: 454652 |
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num_examples: 4875 |
|
download_size: 2781679 |
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dataset_size: 4816143 |
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license: mit |
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task_categories: |
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- text-to-speech |
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language: |
|
- en |
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multilinguality: |
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- monolingual |
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tags: |
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- youtube |
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- captions |
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pretty_name: AudioCaps |
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size_categories: |
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- 10K<n<100K |
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source_datasets: |
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- original |
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paperswithcode_id: audiocaps |
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--- |
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|
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# audiocaps |
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## Dataset Description |
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- **Homepage:** https://audiocaps.github.io/ |
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- **Repository:** https://github.com/cdjkim/audiocaps |
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- **Paper:** [AudioCaps: Generating Captions for Audios in The Wild](https://aclanthology.org/N19-1011.pdf) |
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|
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HuggingFace mirror of [official data repo](https://github.com/cdjkim/audiocaps). |