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tau/commonsense_qa HF Unverified

Dataset Card for "commonsense_qa" Dataset Summary CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge to predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers. The dataset is provided in two major training/validation/testing set splits: "Random split" which is the main evaluation split, and "Question token split", see paper for details.… See the full description on the dataset page: https://huggingface.co/datasets/tau/commonsense_qa.

Task_categories:question-AnsweringTask_ids:open-Domain-QaAnnotations_creators:crowdsourcedLanguage_creators:crowdsourcedMultilinguality:monolingualSource_datasets:original
HKUSTAudio/Audio-FLAN-Dataset HF Unverified

Audio-FLAN Dataset (Paper) (the FULL audio files and jsonl files are still updating) An Instruction-Tuning Dataset for Unified Audio Understanding and Generation Across Speech, Music, and Sound. 1. Dataset Structure The Audio-FLAN-Dataset has the following directory structure: Audio-FLAN-Dataset/ ├── audio_files/ │ ├── audio/ │ │ └── 177_TAU_Urban_Acoustic_Scenes_2022/ │ │ └── 179_Audioset_for_Audio_Inpainting/ │ │ └── ... │ ├── music/ │ │ └──… See the full description on the dataset page: https://huggingface.co/datasets/HKUSTAudio/Audio-FLAN-Dataset.

Task_categories:text-To-SpeechTask_categories:text-To-AudioTask_categories:automatic-Speech-RecognitionLanguage:enLanguage:zhSize_categories:10M<n<100M
T
tau/splinter-base HF Unverified

Question AnsweringTransformersPyTorchSplinterSplinterModelEnglish MEDIUM
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