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polinaeterna
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0c2d52a
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Parent(s):
09f8ca5
fix text
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app.py
CHANGED
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@@ -211,7 +211,7 @@ with gr.Blocks() as demo:
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"""
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# 💫 Dataset Quality Checker 💫
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This space uses [NVIDIA's quality classifier model](https://huggingface.co/nvidia/quality-classifier-deberta)
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on a subset of any text dataset on the Hub to give a quick glance on the quality of
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## Select dataset and text column
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"""
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)
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@@ -239,7 +239,7 @@ with gr.Blocks() as demo:
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"""
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return gr.HTML(value=html_code)
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text_column_dropdown = gr.Dropdown(label="Text column name", info="Text colum name to check
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def _resolve_dataset_selection(dataset: str, default_subset: str, default_split: str):
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if "/" not in dataset.strip().strip("/"):
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@@ -320,7 +320,7 @@ with gr.Blocks() as demo:
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gr.Markdown("## Explore toxicity")
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# checkbox = gr.Checkbox(value=False, label="Run on full first parquet data (better not)")
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gr_toxicity_btn = gr.Button("Run perpspective API to check toxicity of random samples.")
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toxicity_progress_bar = gr.Label(show_label=False)
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toxicity_hist = gr.Plot()
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with gr.Accordion("Explore examples with toxicity scores:", open=False):
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"""
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# 💫 Dataset Quality Checker 💫
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This space uses [NVIDIA's quality classifier model](https://huggingface.co/nvidia/quality-classifier-deberta)
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on a subset of any text dataset on the Hub to give a quick glance on the quality of texts.
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## Select dataset and text column
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"""
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)
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"""
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return gr.HTML(value=html_code)
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text_column_dropdown = gr.Dropdown(label="Text column name", info="Text colum name to check. ")
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def _resolve_dataset_selection(dataset: str, default_subset: str, default_split: str):
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if "/" not in dataset.strip().strip("/"):
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gr.Markdown("## Explore toxicity")
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# checkbox = gr.Checkbox(value=False, label="Run on full first parquet data (better not)")
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gr_toxicity_btn = gr.Button("Run perpspective API to check toxicity of 100 random samples.")
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toxicity_progress_bar = gr.Label(show_label=False)
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toxicity_hist = gr.Plot()
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with gr.Accordion("Explore examples with toxicity scores:", open=False):
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