datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
avataravatar_after_javaavatar_afteravatar-rawPyui_gpt_v4_train_datasettext_SQL_v1Pyui_GPT_D2sql_eval_40qa_v1sql_100_v1Pyui_gpt_v3_train_datasetSeamless-Avatar-Smplx-150h
Seamless Avatar SMPLX 150h Dataset
📊 Dataset Composition & Splits
The dataset is curated based on a total duration of 150 hours. The distribution is managed according to the following ratios:
Split Ratio:
Train: 60% (90 hours)
Dev: 20% (30 hours)
Test: 20% (30 hours)
Interaction Types:
Naturalistic: 2/3 of the total duration.
Improvised: 1/3 of the total duration.
🦴 SMPL_X Model Construction
Our SMPL_X data represents a high-fidelity full-body… See the full description on the dataset page: https://huggingface.co/datasets/xwshi/Seamless-Avatar-Smplx-150h.data_sci_prototypetext_SQL_v1_cleanpyuigpt_test_dataset2football_miniPyui_GPT_D3sql_eval_40qa_v2CDTI_MCQ_1000_V1test_evaluate_data_scitest_evaluate_footballP_yui_GPT_D1pyuigpt_test_datasetMCQ_v1Pyui_gpt_v2_datasetPyui_GPT_v1_dataset