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| from datasets import load_dataset | |
| import streamlit as st | |
| # all levels, validation split (public) | |
| ds_val = load_dataset( | |
| "gaia-benchmark/GAIA", | |
| "2023_all", | |
| split="validation", | |
| token=True, # use_auth_token=True on older installs also works | |
| trust_remote_code=True, # needed because GAIA uses a loading script | |
| ) | |
| ds_val.set_format(type="pandas") | |
| df_val = ds_val[:] | |
| temp_id = df_val.at[0, 'task_id'] | |
| st.title('Task_id 展示') | |
| st.write('Task_id:', temp_id) |