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Sasha
commited on
Commit
·
af7fcaa
1
Parent(s):
20aa046
adding more emoji
Browse files
app.py
CHANGED
@@ -16,6 +16,8 @@ st.set_page_config(
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st.title("Hugging Face Evaluation Buddy")
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top_datasets= ['glue', 'super_glue', 'wikitext', 'imdb', 'squad', 'squad_es', \
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'paws', 'librispeech_asr', 'wmt16', 'xnli', 'snli', 'ag_news', \
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'anli', 'amazon_polarity', 'squad_v2', 'conll2003', 'red_caps', \
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@@ -61,7 +63,6 @@ with st.sidebar.expander("Datasets", expanded=True):
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st.markdown("## Here is some information about your dataset:")
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st.markdown("### Description")
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st.markdown(dataset_builder.info.description)
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@@ -69,10 +70,11 @@ if len(dataset_builder.info.description) == 1:
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st.markdown("This dataset does not have a description. :no_mouth:")
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st.markdown("For more information about this dataset, check out [its website](https://huggingface.co/datasets/"+dataset_name+")")
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st.markdown("### Dataset-Specific Metrics")
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if dataset_name in metrics:
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st.markdown("Great news! Your dataset has a dedicated metric for it
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if "glue" in dataset_name:
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code = ''' from datasets import load_metric
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metric = load_metric(\"'''+dataset_name+'''\", \"'''+dataset_config+'''\")'''
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@@ -102,7 +104,7 @@ if task is not None:
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metric = load_metric("cer")'''
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st.code(cer_code, language='python')
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else:
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st.markdown("The task for your dataset doesn't have any dedicated metrics, but you can still use general ones!")
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#print(dataset_builder.info.task_templates)
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st.title("Hugging Face Evaluation Buddy")
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st.markdown('### Here to help you do mindful model evaluation')
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top_datasets= ['glue', 'super_glue', 'wikitext', 'imdb', 'squad', 'squad_es', \
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'paws', 'librispeech_asr', 'wmt16', 'xnli', 'snli', 'ag_news', \
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'anli', 'amazon_polarity', 'squad_v2', 'conll2003', 'red_caps', \
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st.markdown("## Here is some information about your dataset:")
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st.markdown(dataset_builder.info.description)
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st.markdown("This dataset does not have a description. :no_mouth:")
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st.markdown("For more information about this dataset, check out [its website](https://huggingface.co/datasets/"+dataset_name+")")
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st.markdown("## Now let's see what metrics we can use to evaluate models on this dataset!")
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st.markdown("### Dataset-Specific Metrics")
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if dataset_name in metrics:
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st.markdown("Great news! Your dataset has a dedicated metric for it!:partying_face: You can use it like this: :point_down:")
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if "glue" in dataset_name:
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code = ''' from datasets import load_metric
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metric = load_metric(\"'''+dataset_name+'''\", \"'''+dataset_config+'''\")'''
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metric = load_metric("cer")'''
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st.code(cer_code, language='python')
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else:
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st.markdown("The task for your dataset doesn't have any dedicated metrics, but you can still use general ones! :cowboy_hat_face:")
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#print(dataset_builder.info.task_templates)
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