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import gradio as gr | |
from widgets.widget_base import Widget | |
from data_measurements.dataset_statistics import DatasetStatisticsCacheClass as dmt_cls | |
import utils | |
import utils.dataset_utils as ds_utils | |
logs = utils.prepare_logging(__file__) | |
class Duplicates(Widget): | |
def __init__(self): | |
duplicates_text = f""" | |
Use this widget to identify text strings that appear more than once. | |
A model's training and testing may be negatively affected by unwarranted duplicates ([Lee et al., 2021](https://arxiv.org/abs/2107.06499)) | |
------ | |
### Here is the list of all the duplicated items and their counts in the dataset. | |
""" | |
self.duplicates_intro = gr.Markdown(render=False, value=duplicates_text) | |
self.duplicates_df = gr.DataFrame(render=False) | |
self.duplicates_text = gr.Markdown(render=False) | |
def render(self): | |
with gr.TabItem(f"Duplicates"): | |
self.duplicates_intro.render() | |
self.duplicates_text.render() | |
self.duplicates_df.render() | |
def update(self, dstats: dmt_cls): | |
output = {} | |
if not dstats.duplicates_results: | |
output[self.duplicates_df] = gr.DataFrame.update(visible=False) | |
output[self.duplicates_text] = gr.Markdown.update(visible=True, | |
value="There are no duplicates in this dataset! 🥳") | |
else: | |
dupes_df_tmp = ds_utils.counter_dict_to_df(dstats.dups_dict, key_as_column=True) | |
dupes_df_tmp.columns = ["instance", "count"] | |
# Nice to have the counts show up first, because the instances | |
# can be quite long (and run off the page) | |
dupes_df = dupes_df_tmp[["count", "instance"]] | |
output[self.duplicates_df] = gr.DataFrame.update(visible=True, value=dupes_df) | |
duplicates_text = f"The fraction of data that is duplicate is {str(round(dstats.dups_frac, 4))}" | |
output[self.duplicates_text] = gr.Markdown.update(value=duplicates_text, visible=True) | |
return output | |
def output_components(self): | |
return [ | |
self.duplicates_text, | |
self.duplicates_df, | |
] | |
def add_events(self, state: gr.State): | |
pass |