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import streamlit as st | |
import datasets | |
splits = ['Bible', 'EuroParliamentProceedings', 'TED2020', 'PileOfLaw', 'StackExchange_ver2', 'GithubIssues', 'Opensubtitles', 'USPTO', 'S2ORC', 'DevDocs', 'CodePileReddit2022', 'DMMath', 'Gutenberg', 'USENET', 'GithubDiff', 'Enwiki', 'GNOME', 'ASFPublicMail', 'PileV2Reddit2020', 'CodePilePosts', 'Discourse', 'Tanzil', 'arXiv', 'UbuntuIRC', 'PubMed', 'CodePileReddit2020', 'CodePileReddit2021', 'GlobalVoices', 'FreeLaw_Options', 'PileV2Posts'] | |
st.sidebar.title('Pile v2 Explorer') | |
split = st.sidebar.selectbox('Select a split', splits) | |
st.sidebar.write('You selected:', split) | |
dataset = datasets.load_dataset('CarperAI/pile-v2-small-filtered', data_dir="data/"+split+"/data.json") | |
index = st.sidebar.slider('Select a row', 0, len(dataset['train'])-1, 0) | |
st.write(dataset['train'][index]['text']) |