Spaces:
Sleeping
Sleeping
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(
|
|
| 16 |
|
| 17 |
st.title("Hugging Face Evaluation Buddy")
|
| 18 |
|
|
|
|
|
|
|
| 19 |
top_datasets= ['glue', 'super_glue', 'wikitext', 'imdb', 'squad', 'squad_es', \
|
| 20 |
'paws', 'librispeech_asr', 'wmt16', 'xnli', 'snli', 'ag_news', \
|
| 21 |
'anli', 'amazon_polarity', 'squad_v2', 'conll2003', 'red_caps', \
|
|
@@ -61,7 +63,6 @@ with st.sidebar.expander("Datasets", expanded=True):
|
|
| 61 |
|
| 62 |
st.markdown("## Here is some information about your dataset:")
|
| 63 |
|
| 64 |
-
st.markdown("### Description")
|
| 65 |
|
| 66 |
st.markdown(dataset_builder.info.description)
|
| 67 |
|
|
@@ -69,10 +70,11 @@ if len(dataset_builder.info.description) == 1:
|
|
| 69 |
st.markdown("This dataset does not have a description. :no_mouth:")
|
| 70 |
st.markdown("For more information about this dataset, check out [its website](https://huggingface.co/datasets/"+dataset_name+")")
|
| 71 |
|
|
|
|
| 72 |
|
| 73 |
st.markdown("### Dataset-Specific Metrics")
|
| 74 |
if dataset_name in metrics:
|
| 75 |
-
st.markdown("Great news! Your dataset has a dedicated metric for it
|
| 76 |
if "glue" in dataset_name:
|
| 77 |
code = ''' from datasets import load_metric
|
| 78 |
metric = load_metric(\"'''+dataset_name+'''\", \"'''+dataset_config+'''\")'''
|
|
@@ -102,7 +104,7 @@ if task is not None:
|
|
| 102 |
metric = load_metric("cer")'''
|
| 103 |
st.code(cer_code, language='python')
|
| 104 |
else:
|
| 105 |
-
st.markdown("The task for your dataset doesn't have any dedicated metrics, but you can still use general ones!")
|
| 106 |
|
| 107 |
|
| 108 |
#print(dataset_builder.info.task_templates)
|
|
|
|
| 16 |
|
| 17 |
st.title("Hugging Face Evaluation Buddy")
|
| 18 |
|
| 19 |
+
st.markdown('### Here to help you do mindful model evaluation')
|
| 20 |
+
|
| 21 |
top_datasets= ['glue', 'super_glue', 'wikitext', 'imdb', 'squad', 'squad_es', \
|
| 22 |
'paws', 'librispeech_asr', 'wmt16', 'xnli', 'snli', 'ag_news', \
|
| 23 |
'anli', 'amazon_polarity', 'squad_v2', 'conll2003', 'red_caps', \
|
|
|
|
| 63 |
|
| 64 |
st.markdown("## Here is some information about your dataset:")
|
| 65 |
|
|
|
|
| 66 |
|
| 67 |
st.markdown(dataset_builder.info.description)
|
| 68 |
|
|
|
|
| 70 |
st.markdown("This dataset does not have a description. :no_mouth:")
|
| 71 |
st.markdown("For more information about this dataset, check out [its website](https://huggingface.co/datasets/"+dataset_name+")")
|
| 72 |
|
| 73 |
+
st.markdown("## Now let's see what metrics we can use to evaluate models on this dataset!")
|
| 74 |
|
| 75 |
st.markdown("### Dataset-Specific Metrics")
|
| 76 |
if dataset_name in metrics:
|
| 77 |
+
st.markdown("Great news! Your dataset has a dedicated metric for it!:partying_face: You can use it like this: :point_down:")
|
| 78 |
if "glue" in dataset_name:
|
| 79 |
code = ''' from datasets import load_metric
|
| 80 |
metric = load_metric(\"'''+dataset_name+'''\", \"'''+dataset_config+'''\")'''
|
|
|
|
| 104 |
metric = load_metric("cer")'''
|
| 105 |
st.code(cer_code, language='python')
|
| 106 |
else:
|
| 107 |
+
st.markdown("The task for your dataset doesn't have any dedicated metrics, but you can still use general ones! :cowboy_hat_face:")
|
| 108 |
|
| 109 |
|
| 110 |
#print(dataset_builder.info.task_templates)
|