First version

.gitignore

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+.env
+.venv

README.md

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 pinned: false
 ---
 
+# Dataset Explorer
+
+This is my version of a dataset explorer using streamlit and python.
+
+Set your dataset, language, split and view your data. You can export to csv, also.
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+

app.py

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+import streamlit as st
+from datasets import load_dataset, Audio
+
+def app():
+    st.title('Home')
+    st.write('Welcome to the home page')
+    ds_ckpt = st.text_input('Enter the dataset checkpoint', 'PolyAI/minds14')
+    ds_lang = st.text_input('Enter the dataset language', 'en-US')
+    ds_split = st.text_input('Enter the dataset split', 'train')
+    # Load the dataset
+    dataset = load_dataset(ds_ckpt, ds_lang, split=ds_split)
+    # Display the dataset
+    st.dataframe(dataset.to_pandas())
+
+if __name__ == '__main__':
+    app()

requirements.txt

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+streamlit
+pandas
+numpy
+torch
+datasets
+datasets[audio]
+datasets[vision]