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import json
import re
from datetime import datetime
import datacards
from datacards import (
considerations_page,
considerations_summary,
context_page,
context_summary,
curation_page,
curation_summary,
gem_page,
gem_summary,
overview_page,
overview_summary,
results_page,
results_summary,
)
import streamlit as st
##################
## streamlit
##################
st.set_page_config(
page_title="GEM Data Card Input Form",
page_icon="https://avatars.githubusercontent.com/u/72612128",
layout="wide",
initial_sidebar_state="auto",
)
page_description = """
# GEM Data Card Input Form
This application was designed to support the GEM v2 data hackathon.
It allows users to fill out all of the information going into the data documentation when submitting a new dataset.
Use the left sidebar to navigate:
- "**Dataset at a Glance**" shows selected information and tracks progress
- Each of the "**Section:**" pages opens a form for a specific section of the card
- Go to "**Review and Save**" when you are done to save your data card
"""
_N_FIELDS = datacards.considerations.N_FIELDS + \
datacards.context.N_FIELDS + \
datacards.curation.N_FIELDS + \
datacards.gem.N_FIELDS + \
datacards.overview.N_FIELDS + \
datacards.results.N_FIELDS
def main():
if "save_state" not in st.session_state:
st.session_state.save_state = {}
if "card_dict" not in st.session_state:
st.session_state.card_dict = {}
st.sidebar.markdown(page_description, unsafe_allow_html=True)
pages = {
"Dataset at a Glance": glance_page,
"Section: Dataset Overview": overview_page,
"Section: Dataset Curation": curation_page,
"Section: Dataset in GEM": gem_page,
"Section: Previous Results": results_page,
"Section: Considerations for Using Data": considerations_page,
"Section: Broader Social Context": context_page,
"Review and Save": review_page,
}
app_mode = st.sidebar.radio(
label="Navigation menu:",
options=list(pages.keys()),
index=0,
)
st.markdown("#### GEM Data Card Input Form")
pages[app_mode]()
def glance_page():
with st.expander("Dataset at a Glance", expanded=True):
dataset_summary = ""
dataset_summary += f"- **Dataset Website**: {st.session_state.save_state.get('overview_where_website', '*Go to `Section: Dataset Overview` to fill in*')}\n"
dataset_summary += f"- **Dataset Contact**: {st.session_state.save_state.get('overview_where_contact-name', '*Go to `Section: Dataset Overview` to fill in*')}\n"
dataset_summary += f"- **Dataset License**: {st.session_state.save_state.get('overview_languages_license', '*Go to `Section: Dataset Overview` to fill in*')}\n"
dataset_summary += f"- **Multilingual Dataset**: {st.session_state.save_state.get('overview_languages_is-multilingual', '*Go to `Section: Dataset Overview` to fill in*')}\n"
dataset_summary += f"- **Dataset Languages**: {st.session_state.save_state.get('overview_languages_language-names', '*Go to `Section: Dataset Overview` to fill in*')}\n"
dataset_summary += f"- **Dataset Supported Task**: {st.session_state.save_state.get('overview_languages_task', '*Go to `Section: Dataset Overview` to fill in*')}\n"
dataset_summary += f"- **Communicative Goal**: {st.session_state.save_state.get('overview_languages_communicative', '*Go to `Section: Dataset Overview` to fill in*')}\n"
dataset_summary += f"- **Language Data Origin**: {st.session_state.save_state.get('curation_language_obtained', '*Go to `Section: Dataset Curation` to fill in*')}\n"
dataset_summary += f"- **Annotation Data Origin**: {st.session_state.save_state.get('curation_annotations_obtained', '*Go to `Section: Dataset Curation` to fill in*')}\n"
dataset_summary += f"- **Likelihood of PII**: {st.session_state.save_state.get('curation_pii_has-pii', '*Go to `Section: Dataset Curation` to fill in*')}\n"
st.markdown(dataset_summary + "---\n")
num_fields = sum([len(dct) for k in st.session_state.get("card_dict", {}) for dct in st.session_state.card_dict.get(k, {}).values()])
st.markdown(f"You have currently filled out **{num_fields} of {_N_FIELDS} required fields** in the data card.")
left_col, right_col = st.columns(2)
with left_col:
overview_summary()
curation_summary()
gem_summary()
with right_col:
results_summary()
considerations_summary()
context_summary()
def review_page():
dataset_name = st.text_input(
label="Enter dataset name here",
)
if dataset_name != "":
friendly_name = re.sub(
r"[^\w\s]", " ", dataset_name.lower()
).strip().replace(" ", "_")
current_date = datetime.now().strftime(
"%m/%d/%Y, %H:%M:%S"
)
friendly_date = re.sub(
r"[^\w\s]", "_", current_date
).replace(" ", "_").replace("__", "_").replace("-", "")
dataset_file_name = f"{friendly_name}-{friendly_date}.json"
st.download_button(
label=f"Download the Dataset Card below as {dataset_file_name}",
data=json.dumps(st.session_state.get("card_dict", {}), indent=2),
file_name=dataset_file_name,
)
else:
st.markdown("##### Enter a dataset name above to be able to download the card!")
st.markdown("---\n")
st.write(st.session_state.get("card_dict", {}))
# TODO add buttons to save and download
if __name__ == "__main__":
main()
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